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Image Processing for Cinema

Image Processing for Cinema

Image Processing for Cinema presents a detailed overview of image processing techniques that are used in practice in digital cinema. The book shows how image processing has become ubiquitous in movie-making from shooting to exhibition. It covers all the ways in which image processing algorithms are used to enhance restore adapt and convert moving images. These techniques and algorithms make the images look as good as possible while exploiting the capabilities of cameras projectors and displays. The author focuses on the ideas behind the methods rather than proofs and derivations. The first part of the text presents fundamentals on optics and color. The second part explains how cameras work and details all the image processing algorithms that are applied in-camera. With an emphasis on state-of-the-art methods that are actually used in practice the last part describes image processing algorithms that are applied offline to solve a variety of problems. The book is designed for advanced undergraduate and graduate students in applied mathematics image processing computer science and related fields. It is also suitable for academic researchers and professionals in the movie industry.

GBP 59.99
1

Revival: Simulation Methodology for Statisticians Operations Analysts and Engineers (1988)

Revival: Simulation Methodology for Statisticians Operations Analysts and Engineers (1988)

Students of statistics operations research and engineering will be informed of simulation methodology for problems in both mathematical statistics and systems simulation. This discussion presents many of the necessary statistical and graphical techniques. A discussion of statistical methods based on graphical techniques and exploratory data is among the highlights of Simulation Methodology for Statisticians Operations Analysts and Engineers. For students who only have a minimal background in statistics and probability theory the first five chapters provide an introduction to simulation. | Revival: Simulation Methodology for Statisticians Operations Analysts and Engineers (1988)

GBP 66.99
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Algorithms for Next-Generation Sequencing

Algorithms for Next-Generation Sequencing

Advances in sequencing technology have allowed scientists to study the human genome in greater depth and on a larger scale than ever before – as many as hundreds of millions of short reads in the course of a few days. But what are the best ways to deal with this flood of data?Algorithms for Next-Generation Sequencing is an invaluable tool for students and researchers in bioinformatics and computational biology biologists seeking to process and manage the data generated by next-generation sequencing and as a textbook or a self-study resource. In addition to offering an in-depth description of the algorithms for processing sequencing data it also presents useful case studies describing the applications of this technology.

GBP 44.99
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Intelligent Cyber-Physical Systems Security for Industry 4.0 Applications Challenges and Management

Intelligent Cyber-Physical Systems Security for Industry 4.0 Applications Challenges and Management

Intelligent Cyber-Physical Systems Security for Industry 4. 0: Applications Challenges and Management presents new cyber-physical security findings for Industry 4. 0 using emerging technologies like artificial intelligence (with machine/deep learning) data mining applied mathematics. All these are the essential components for processing data recognizing patterns modeling new techniques and improving the advantages of data science. Features • Presents an integrated approach with Cyber-Physical Systems CPS security and Industry 4. 0 in one place • Exposes the necessity of security initiatives standards security policies and procedures in the context of industry 4. 0 • Suggests solutions for enhancing the protection of 5G and the Internet of Things (IoT) security • Promotes how optimization or intelligent techniques envisage the role of artificial intelligence-machine/deep learning (AI-ML/DL) in cyberphysical systems security for industry 4. 0 This book is primarily aimed at graduates researchers and professionals working in the field of security. Executives concerned with security management knowledge dissemination information and policy development for data and network security in different educational government and non-government organizations will also find this book useful. | Intelligent Cyber-Physical Systems Security for Industry 4. 0 Applications Challenges and Management

GBP 110.00
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A Course on Statistics for Finance

A Course on Statistics for Finance

Taking a data-driven approach A Course on Statistics for Finance presents statistical methods for financial investment analysis. The author introduces regression analysis time series analysis and multivariate analysis step by step using models and methods from finance. The book begins with a review of basic statistics including descriptive statistics kinds of variables and types of data sets. It then discusses regression analysis in general terms and in terms of financial investment models such as the capital asset pricing model and the Fama/French model. It also describes mean-variance portfolio analysis and concludes with a focus on time series analysis. Providing the connection between elementary statistics courses and quantitative finance courses this text helps both existing and future quants improve their data analysis skills and better understand the modeling process.

GBP 44.99
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Essentials of Probability Theory for Statisticians

Essentials of Probability Theory for Statisticians

Essentials of Probability Theory for Statisticians provides graduate students with a rigorous treatment of probability theory with an emphasis on results central to theoretical statistics. It presents classical probability theory motivated with illustrative examples in biostatistics such as outlier tests monitoring clinical trials and using adaptive methods to make design changes based on accumulating data. The authors explain different methods of proofs and show how they are useful for establishing classic probability results. After building a foundation in probability the text intersperses examples that make seemingly esoteric mathematical constructs more intuitive. These examples elucidate essential elements in definitions and conditions in theorems. In addition counterexamples further clarify nuances in meaning and expose common fallacies in logic. This text encourages students in statistics and biostatistics to think carefully about probability. It gives them the rigorous foundation necessary to provide valid proofs and avoid paradoxes and nonsensical conclusions.

GBP 56.99
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3D Animation for the Raw Beginner Using Autodesk Maya 2e

3D Animation for the Raw Beginner Using Autodesk Maya 2e

3D Animation for the Raw Beginner Using Autodesk Maya is a hands-on academic textbook as well as a do-it-yourself training manual for the individual animator. This second edition has been completely rewritten to take into account updates to Autodesk Maya including Autodesk’s renderer Arnold. It contains entirely new examples and tutorial lessons. All 612 images are in full color. The book directs the reader to the parts of Maya that must be mastered in order to create complete 3D projects and thus it simplifies the process of taking on Maya’s vast and intricate interface while giving the reader a firm foundation on which to build future knowledge of Maya. It also presents brief examples of other popular 3D applications and rendering engines. This principles-based yet pragmatic book: Introduces the basic steps of the 3D modeling materials animation lighting and rendering processes. Presents clear and concise tutorials that link key concepts to practical techniques. Includes access to a webpage for the book: https://buzzking. com/AnimationTextbook/AnimationTextbook. html. On this webpage are videos that cover many of the lessons in the book as well as video tutorials that present bonus material not included in the book. Frees instructors from the painstaking task of developing step-by-step examples to present Maya’s complex interface and basic capabilities. Boasts an easy-to-follow tutorial-based learning style ideal for individual study by aspiring animators and do-it yourselfers. Roger Buzz King is a Professor Emeritus at the University of Colorado at Boulder where he teaches 3D Animation for the Computer Science Department and the Alliance for Technology Learning and Society (ATLAS) an institute dedicated to the application of technology to the arts. Buzz is an independent 3D animator who serves on the board of directors of a 3D animation startup. Buzz has a B. A. in Mathematics from Occidental College an M. S. and Ph. D. in Computer Science from the University of Southern California and an M. Div. from the Iliff School of Theology. Key Features Introduces critical aspects of the 3D animation process Presents clear and concise tutorials that link key concepts to practical techniques Includes access to a dedicated Web site http://3dbybuzz. com featuring useful videos lessons and updates Frees instructors from developing step-by-step examples to present Maya’s complex interface and basic Boasts an easy-to-follow hands-on learning style ideal for individual study by aspiring animators and do-ityourselfers | 3D Animation for the Raw Beginner Using Autodesk Maya 2e

GBP 48.99
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Security for Software Engineers

Security for Software Engineers

Security for Software Engineers is designed to introduce security concepts to undergraduate software engineering students. The book is divided into four units each targeting activities that a software engineer will likely be involved in within industry. The book explores the key areas of attack vectors code hardening privacy and social engineering. Each topic is explored from a theoretical and a practical-application standpoint. Features:Targets software engineering students - one of the only security texts to target this audience. Focuses on the white-hat side of the security equation rather than the black-hat side. Includes many practical and real-world examples that easily translate into the workplace. Covers a one-semester undergraduate course. Describes all aspects of computer security as it pertains to the job of a software engineer and presents problems similar to that which an engineer will encounter in the industry. This text will equip students to make knowledgeable security decisions be productive members of a security review team and write code that protects a user’s information assets.

GBP 39.99
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Bayesian Designs for Phase I-II Clinical Trials

Bayesian Designs for Phase I-II Clinical Trials

Reliably optimizing a new treatment in humans is a critical first step in clinical evaluation since choosing a suboptimal dose or schedule may lead to failure in later trials. At the same time if promising preclinical results do not translate into a real treatment advance it is important to determine this quickly and terminate the clinical evaluation process to avoid wasting resources. Bayesian Designs for Phase I–II Clinical Trials describes how phase I–II designs can serve as a bridge or protective barrier between preclinical studies and large confirmatory clinical trials. It illustrates many of the severe drawbacks with conventional methods used for early-phase clinical trials and presents numerous Bayesian designs for human clinical trials of new experimental treatment regimes. Written by research leaders from the University of Texas MD Anderson Cancer Center this book shows how Bayesian designs for early-phase clinical trials can explore refine and optimize new experimental treatments. It emphasizes the importance of basing decisions on both efficacy and toxicity. | Bayesian Designs for Phase I-II Clinical Trials

GBP 38.99
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Equivalence and Noninferiority Tests for Quality Manufacturing and Test Engineers

Equivalence and Noninferiority Tests for Quality Manufacturing and Test Engineers

In engineering and quality control various situations including process validation and design verification require equivalence and noninferiority tests. Equivalence and Noninferiority Tests for Quality Manufacturing and Test Engineers presents methods for using validation and verification test data to demonstrate equivalence and noninferiority in engineering and applied science. The book covers numerous tests drawn from the author’s more than 30 years of work in a range of industrial settings. It provides computational formulas for the tests methods to determine or justify sample sizes and formulas to calculate power and operating characteristic curves. The methods are accessible using standard statistical software and do not require complicated programming. The book also includes computer code and screen shots for SAS R and JMP. This book provides you with a guide to performing validation and verification tests that demonstrate the adequacy of your process system or product. It will help you choose the best test for your application.

GBP 59.99
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Statistics for Technology A Course in Applied Statistics Third Edition

Statistics for Technology A Course in Applied Statistics Third Edition

One of the most popular introductory texts in its field Statistics for Technology: A Course in Applied Studies presents the range of statistical methods commonly used in science social science and engineering. The mathematics are simple and straightforward; statistical concepts are explained carefully; and real-life (rather than contrived) examples are used throughout the chapters. Divided into three parts the Introduction describes some simple methods of summarizing data. Theory examines the basic concepts and theory of statistics. Applications covers the planning and procedures of experiments quality control and life testing. Revised throughout this Third Edition places a higher priority on the role of computers in analysis and many new references have been incorporated. A new appendix describes general methods of tackling statistical problems including guidance on literature searching and report writing. | Statistics for Technology A Course in Applied Statistics Third Edition

GBP 180.00
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Numerical Methods for Engineers

Numerical Methods for Engineers

Although pseudocodes Mathematica® and MATLAB® illustrate how algorithms work designers of engineering systems write the vast majority of large computer programs in the Fortran language. Using Fortran 95 to solve a range of practical engineering problems Numerical Methods for Engineers Second Edition provides an introduction to numerical methods incorporating theory with concrete computing exercises and programmed examples of the techniques presented. Covering a wide range of numerical applications that have immediate relevancy for engineers the book describes forty-nine programs in Fortran 95. Many of the programs discussed use a sub-program library called nm_lib that holds twenty-three subroutines and functions. In addition there is a precision module that controls the precision of calculations. Well-respected in their field the authors discuss a variety of numerical topics related to engineering. Some of the chapter features include…The numerical solution of sets of linear algebraic equationsRoots of single nonlinear equations and sets of nonlinear equations Numerical quadrature or numerical evaluation of integralsAn introduction to the solution of partial differential equations using finite difference and finite element approachesDescribing concise programs that are constructed using sub-programs wherever possible this book presents many different contexts of numerical analysis forming an excellent introduction to more comprehensive subroutine libraries such as the numerical algorithm group (NAG).

GBP 59.99
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Integration of IoT with Cloud Computing for Smart Applications

Integration of IoT with Cloud Computing for Smart Applications

Integration of IoT with Cloud Computing for Smart Applications provides an integrative overview of the Internet of Things (IoT) and cloud computing to be used for the various futuristic and intelligent applications. The aim of this book is to integrate IoT and cloud computing to translate ordinary resources into smart things. Discussions in this book include a broad and integrated perspective on the collaboration security growth of cloud infrastructure and real-time data monitoring. Features: Presents an integrated approach to solve the problems related to security reliability and energy consumption. Explains a unique approach to discuss the research challenges and opportunities in the field of IoT and cloud computing. Discusses a novel approach for smart agriculture smart healthcare systems smart cities and many other modern systems based on machine learning artificial intelligence and big data etc. Information presented in a simplified way for students researchers academicians and scientists business innovators and entrepreneurs management professionals and practitioners. This book can be great reference for graduate and postgraduate students researchers and academicians working in the field of computer science cloud computing artificial intelligence etc.

GBP 99.99
1

Computational Mathematics An introduction to Numerical Analysis and Scientific Computing with Python

Computational Mathematics An introduction to Numerical Analysis and Scientific Computing with Python

This textbook is a comprehensive introduction to computational mathematics and scientific computing suitable for undergraduate and postgraduate courses. It presents both practical and theoretical aspects of the subject as well as advantages and pitfalls of classical numerical methods alongside with computer code and experiments in Python. Each chapter closes with modern applications in physics engineering and computer science. Features: No previous experience in Python is required. Includes simplified computer code for fast-paced learning and transferable skills development. Includes practical problems ideal for project assignments and distance learning. Presents both intuitive and rigorous faces of modern scientific computing. Provides an introduction to neural networks and machine learning. | Computational Mathematics An introduction to Numerical Analysis and Scientific Computing with Python

GBP 99.99
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Cloud IoT Systems for Smart Agricultural Engineering

Cloud IoT Systems for Smart Agricultural Engineering

Agriculture plays a vital role in a country’s growth. Modern-day technologies drive every domain toward smart systems. The use of traditional agricultural procedures to satisfy modern-day requirements is a challenging task. Cloud IoT Systems for Smart Agricultural Engineering provides substantial coverage of various challenges of the agriculture domain through modern technologies such as the Internet of Things (IoT) cloud computing and many more. This book offers various state-of-the-art procedures to be deployed in a wide range of agricultural activities. The concepts are discussed with the necessary implementations and clear examples. Necessary illustrations are depicted in the chapters to ensure the effective delivery of the proposed concepts. It presents the rapid advancement of the technologies in the existing agricultural model by applying the cloud IoT techniques. A wide variety of novel architectural solutions are discussed in various chapters of this book. This book provides comprehensive coverage of the most essential topics including: New approaches on urban and vertical farming Smart crop management for Indian farmers Smart livestock management Precision agriculture using geographical information systems Machine learning techniques combined with IoT for smart agriculture Effective use of drones in smart agriculture This book provides solutions for the diverse domain of problems in agricultural engineering. It can be used at the basic and intermediary levels for agricultural science and engineering graduate students researchers and practitioners.

GBP 145.00
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Mixed Effects Models for Complex Data

Mixed Effects Models for Complex Data

Although standard mixed effects models are useful in a range of studies other approaches must often be used in correlation with them when studying complex or incomplete data. Mixed Effects Models for Complex Data discusses commonly used mixed effects models and presents appropriate approaches to address dropouts missing data measurement errors censoring and outliers. For each class of mixed effects model the author reviews the corresponding class of regression model for cross-sectional data. An overview of general models and methods along with motivating examples After presenting real data examples and outlining general approaches to the analysis of longitudinal/clustered data and incomplete data the book introduces linear mixed effects (LME) models generalized linear mixed models (GLMMs) nonlinear mixed effects (NLME) models and semiparametric and nonparametric mixed effects models. It also includes general approaches for the analysis of complex data with missing values measurement errors censoring and outliers. Self-contained coverage of specific topicsSubsequent chapters delve more deeply into missing data problems covariate measurement errors and censored responses in mixed effects models. Focusing on incomplete data the book also covers survival and frailty models joint models of survival and longitudinal data robust methods for mixed effects models marginal generalized estimating equation (GEE) models for longitudinal or clustered data and Bayesian methods for mixed effects models. Background materialIn the appendix the author provides background information such as likelihood theory the Gibbs sampler rejection and importance sampling methods numerical integration methods optimization methods bootstrap and matrix algebra. Failure to properly address missing data measurement errors and other issues in statistical analyses can lead

GBP 59.99
1

Line Integral Methods for Conservative Problems

Line Integral Methods for Conservative Problems

Line Integral Methods for Conservative Problems explains the numerical solution of differential equations within the framework of geometric integration a branch of numerical analysis that devises numerical methods able to reproduce (in the discrete solution) relevant geometric properties of the continuous vector field. The book focuses on a large set of differential systems named conservative problems particularly Hamiltonian systems. Assuming only basic knowledge of numerical quadrature and Runge–Kutta methods this self-contained book begins with an introduction to the line integral methods. It describes numerous Hamiltonian problems encountered in a variety of applications and presents theoretical results concerning the main instance of line integral methods: the energy-conserving Runge–Kutta methods also known as Hamiltonian boundary value methods (HBVMs). The authors go on to address the implementation of HBVMs in order to recover in the numerical solution what was expected from the theory. The book also covers the application of HBVMs to handle the numerical solution of Hamiltonian partial differential equations (PDEs) and explores extensions of the energy-conserving methods. With many examples of applications this book provides an accessible guide to the subject yet gives you enough details to allow concrete use of the methods. MATLAB codes for implementing the methods are available online.

GBP 59.99
1

Information Technology An Introduction for Today’s Digital World

Information Technology An Introduction for Today’s Digital World

This revised edition has more breadth and depth of coverage than the first edition. Information Technology: An Introduction for Today’s Digital World introduces undergraduate students to a wide variety of concepts that they will encounter throughout their IT studies and careers. The features of this edition include: Introductory system administration coverage of Windows 10 and Linux (Red Hat 7) both as general concepts and with specific hands-on instruction Coverage of programming and shell scripting demonstrated through example code in several popular languages Updated information on modern IT careers Computer networks including more content on cloud computing Improved coverage of computer security Ancillary material that includes a lab manual for hands-on exercises Suitable for any introductory IT course this classroom-tested text presents many of the topics recommended by the ACM Special Interest Group on IT Education (SIGITE). It offers a far more detailed examination of the computer and IT fields than computer literacy texts focusing on concepts essential to all IT professionals – from system administration to scripting to computer organization. Four chapters are dedicated to the Windows and Linux operating systems so that students can gain hands-on experience with operating systems that they will deal with in the real world. | Information Technology An Introduction for Today’s Digital World

GBP 74.99
1

Handbook of Statistical Methods for Randomized Controlled Trials

Handbook of Statistical Methods for Randomized Controlled Trials

Statistical concepts provide scientific framework in experimental studies including randomized controlled trials. In order to design monitor analyze and draw conclusions scientifically from such clinical trials clinical investigators and statisticians should have a firm grasp of the requisite statistical concepts. The Handbook of Statistical Methods for Randomized Controlled Trials presents these statistical concepts in a logical sequence from beginning to end and can be used as a textbook in a course or as a reference on statistical methods for randomized controlled trials. Part I provides a brief historical background on modern randomized controlled trials and introduces statistical concepts central to planning monitoring and analysis of randomized controlled trials. Part II describes statistical methods for analysis of different types of outcomes and the associated statistical distributions used in testing the statistical hypotheses regarding the clinical questions. Part III describes some of the most used experimental designs for randomized controlled trials including the sample size estimation necessary in planning. Part IV describe statistical methods used in interim analysis for monitoring of efficacy and safety data. Part V describe important issues in statistical analyses such as multiple testing subgroup analysis competing risks and joint models for longitudinal markers and clinical outcomes. Part VI addresses selected miscellaneous topics in design and analysis including multiple assignment randomization trials analysis of safety outcomes non-inferiority trials incorporating historical data and validation of surrogate outcomes.

GBP 59.99
1

Statistical Methods for Spatio-Temporal Systems

Statistical Methods for Spatio-Temporal Systems

Statistical Methods for Spatio-Temporal Systems presents current statistical research issues on spatio-temporal data modeling and will promote advances in research and a greater understanding between the mechanistic and the statistical modeling communities. Contributed by leading researchers in the field each self-contained chapter starts with an introduction of the topic and progresses to recent research results. Presenting specific examples of epidemic data of bovine tuberculosis gastroenteric disease and the U. K. foot-and-mouth outbreak the first chapter uses stochastic models such as point process models to provide the probabilistic backbone that facilitates statistical inference from data. The next chapter discusses the critical issue of modeling random growth objects in diverse biological systems such as bacteria colonies tumors and plant populations. The subsequent chapter examines data transformation tools using examples from ecology and air quality data followed by a chapter on space-time covariance functions. The contributors then describe stochastic and statistical models that are used to generate simulated rainfall sequences for hydrological use such as flood risk assessment. The final chapter explores Gaussian Markov random field specifications and Bayesian computational inference via Gibbs sampling and Markov chain Monte Carlo illustrating the methods with a variety of data examples such as temperature surfaces dioxin concentrations ozone concentrations and a well-established deterministic dynamical weather model.

GBP 59.99
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Dynamic Treatment Regimes Statistical Methods for Precision Medicine

Dynamic Treatment Regimes Statistical Methods for Precision Medicine

Dynamic Treatment Regimes: Statistical Methods for Precision Medicine provides a comprehensive introduction to statistical methodology for the evaluation and discovery of dynamic treatment regimes from data. Researchers and graduate students in statistics data science and related quantitative disciplines with a background in probability and statistical inference and popular statistical modeling techniques will be prepared for further study of this rapidly evolving field. A dynamic treatment regime is a set of sequential decision rules each corresponding to a key decision point in a disease or disorder process where each rule takes as input patient information and returns the treatment option he or she should receive. Thus a treatment regime formalizes how a clinician synthesizes patient information and selects treatments in practice. Treatment regimes are of obvious relevance to precision medicine which involves tailoring treatment selection to patient characteristics in an evidence-based way. Of critical importance to precision medicine is estimation of an optimal treatment regime one that if used to select treatments for the patient population would lead to the most beneficial outcome on average. Key methods for estimation of an optimal treatment regime from data are motivated and described in detail. A dedicated companion website presents full accounts of application of the methods using a comprehensive R package developed by the authors. The authors’ website www. dtr-book. com includes updates corrections new papers and links to useful websites. | Dynamic Treatment Regimes Statistical Methods for Precision Medicine

GBP 44.99
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Quantitative Methods for Traditional Chinese Medicine Development

Quantitative Methods for Traditional Chinese Medicine Development

A Western-Based Approach to Analyzing TCMsIn recent years many pharmaceutical companies and clinical research organizations have been focusing on the development of traditional Chinese (herbal) medicines (TCMs) as alternatives to treating critical or life-threatening diseases and as pathways to personalized medicine. Quantitative Methods for Traditional Chinese Medicine Development is the first book entirely devoted to the design and analysis of TCM development from a Western perspective i. e. evidence-based clinical research and development. The book provides not only a comprehensive summary of innovative quantitative methods for developing TCMs but also a useful desk reference for principal investigators involved in personalized medicine. Written by one of the world’s most prominent biostatistics researchers the book connects the pharmaceutical industry regulatory agencies and academia. It presents a state-of-the-art examination of the subject for:Scientists and researchers who are engaged in pharmaceutical/clinical research and development of TCMsThose in regulatory agencies who make decisions in the review and approval process of TCM regulatory submissions Biostatisticians who provide statistical support to assess clinical safety and effectiveness of TCMs and related issues regarding quality control and assurance as well as to test for consistency in the manufacturing processes for TCMsThis book covers all of the statistical issues encountered at various stages of pharmaceutical/clinical development of a TCM. It explains regulatory requirements; product specifications and standards; and various statistical techniques for evaluation of TCMs validation of diagnostic procedures and testing consistency. It also contains an entire chapter of case studies and addresses critical issues in TCM development and FAQs from a

GBP 59.99
1

Basics of Matrix Algebra for Statistics with R

Basics of Matrix Algebra for Statistics with R

A Thorough Guide to Elementary Matrix Algebra and Implementation in RBasics of Matrix Algebra for Statistics with R provides a guide to elementary matrix algebra sufficient for undertaking specialized courses such as multivariate data analysis and linear models. It also covers advanced topics such as generalized inverses of singular and rectangular matrices and manipulation of partitioned matrices for those who want to delve deeper into the subject. The book introduces the definition of a matrix and the basic rules of addition subtraction multiplication and inversion. Later topics include determinants calculation of eigenvectors and eigenvalues and differentiation of linear and quadratic forms with respect to vectors. The text explores how these concepts arise in statistical techniques including principal component analysis canonical correlation analysis and linear modeling. In addition to the algebraic manipulation of matrices the book presents numerical examples that illustrate how to perform calculations by hand and using R. Many theoretical and numerical exercises of varying levels of difficulty aid readers in assessing their knowledge of the material. Outline solutions at the back of the book enable readers to verify the techniques required and obtain numerical answers. Avoiding vector spaces and other advanced mathematics this book shows how to manipulate matrices and perform numerical calculations in R. It prepares readers for higher-level and specialized studies in statistics.

GBP 44.99
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Analysis of Variance Design and Regression Linear Modeling for Unbalanced Data Second Edition

Analysis of Variance Design and Regression Linear Modeling for Unbalanced Data Second Edition

Analysis of Variance Design and Regression: Linear Modeling for Unbalanced Data Second Edition presents linear structures for modeling data with an emphasis on how to incorporate specific ideas (hypotheses) about the structure of the data into a linear model for the data. The book carefully analyzes small data sets by using tools that are easily scaled to big data. The tools also apply to small relevant data sets that are extracted from big data. New to the Second EditionReorganized to focus on unbalanced dataReworked balanced analyses using methods for unbalanced dataIntroductions to nonparametric and lasso regressionIntroductions to general additive and generalized additive modelsExamination of homologous factorsUnbalanced split plot analysesExtensions to generalized linear modelsR Minitab® and SAS code on the author’s websiteThe text can be used in a variety of courses including a yearlong graduate course on regression and ANOVA or a data analysis course for upper-division statistics students and graduate students from other fields. It places a strong emphasis on interpreting the range of computer output encountered when dealing with unbalanced data. | Analysis of Variance Design and Regression Linear Modeling for Unbalanced Data Second Edition

GBP 44.99
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