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Graphical Methods for Data Analysis

Graphical Methods for Data Analysis

This book present graphical methods for analysing data. Some methods are new and some are old some require a computer and others only paper and pencil; but they are all powerful data analysis tools. In many situations a set of data � even a large set- can be adequately analysed through graphical methods alone. In most other situations a few well-chosen graphical displays can significantly enhance numerical statistical analyses. | Graphical Methods for Data Analysis

GBP 205.00
1

The BUGS Book A Practical Introduction to Bayesian Analysis

The BUGS Book A Practical Introduction to Bayesian Analysis

Bayesian statistical methods have become widely used for data analysis and modelling in recent years and the BUGS software has become the most popular software for Bayesian analysis worldwide. Authored by the team that originally developed this software The BUGS Book provides a practical introduction to this program and its use. The text presents complete coverage of all the functionalities of BUGS including prediction missing data model criticism and prior sensitivity. It also features a large number of worked examples and a wide range of applications from various disciplines. The book introduces regression models techniques for criticism and comparison and a wide range of modelling issues before going into the vital area of hierarchical models one of the most common applications of Bayesian methods. It deals with essentials of modelling without getting bogged down in complexity. The book emphasises model criticism model comparison sensitivity analysis to alternative priors and thoughtful choice of prior distributions all those aspects of the art of modelling that are easily overlooked in more theoretical expositions. More pragmatic than ideological the authors systematically work through the large range of tricks that reveal the real power of the BUGS software for example dealing with missing data censoring grouped data prediction ranking parameter constraints and so on. Many of the examples are biostatistical but they do not require domain knowledge and are generalisable to a wide range of other application areas. Full code and data for examples exercises and some solutions can be found on the book‘s website. | The BUGS Book A Practical Introduction to Bayesian Analysis

GBP 180.00
1

Handbook of Radar Signal Analysis

Handbook of Radar Signal Analysis

This new handbook on radar signal analysis adopts a deliberate and systematic approach. It uses a clear and consistent level of delivery while maintaining strong and easy-to-follow mathematical details. The emphasis of this book is on radar signal types and their relevant signal processing and not on radar systems hardware or components. This handbook serves as a valuable reference to a wide range of audience. More specifically college-level students practicing radar engineers as well as casual readers of the subject are the intended target audience of the first few chapters of this book. As the book chapters progress these grow in complexity and specificity. Accordingly later chapters are intended for practicing engineers graduate college students and advanced readers. Finally the last few chapters contain several special topics on radar systems that are both educational and scientifically entertaining to all readers. The presentation of topics in this handbook takes the reader on a scientific journey whose major landmarks comprise the different radar subsystems and components. In this context the chapters follow the radar signal along this journey from its birth to the end of its life. Along the way the different relevant radar subsystems are analyzed and discussed in great detail. The chapter contributors of this new handbook comprise experienced academia members and practicing radar engineers. Their combined years of academic and real-world experiences are in excess of 175. Together they bring a unique easy-to-follow mix of mathematical and practical presentations of the topics discussed in this book. See the Chapter Contributors section to learn more about these individuals. | Handbook of Radar Signal Analysis

GBP 180.00
1

Essentials of Multivariate Data Analysis

Essentials of Multivariate Data Analysis

Since most datasets contain a number of variables multivariate methods are helpful in answering a variety of research questions. Accessible to students and researchers without a substantial background in statistics or mathematics Essentials of Multivariate Data Analysis explains the usefulness of multivariate methods in applied research. Unlike most books on multivariate methods this one makes straightforward analyses easy to perform for those who are unfamiliar with advanced mathematical formulae. An easily understood dataset is used throughout to illustrate the techniques. The accompanying add-in for Microsoft Excel can be used to carry out the analyses in the text. The dataset and Excel add-in are available for download on the book‘s CRC Press web page. Providing a firm foundation in the most commonly used multivariate techniques this text helps readers choose the appropriate method learn how to apply it and understand how to interpret the results. It prepares them for more complex analyses using software such as Minitab R SAS SPSS and Stata.

GBP 180.00
1

A Handbook of Statistical Analyses using SAS

A Handbook of Statistical Analyses using SAS

Updated to reflect SAS 9. 2 A Handbook of Statistical Analyses using SAS Third Edition continues to provide a straightforward description of how to conduct various statistical analyses using SAS. Each chapter shows how to use SAS for a particular type of analysis. The authors cover inference analysis of variance regression generalized linear models longitudinal data survival analysis principal components analysis factor analysis cluster analysis discriminant function analysis and correspondence analysis. They demonstrate the analyses through real-world examples including methadone maintenance treatment the relation of cirrhosis deaths to alcohol consumption a sociological study of children heart transplant treatment and crime rate determinants. With the data sets and SAS code available online this book remains the go-to resource for learning how to use SAS for many kinds of statistical analysis. It serves as a stepping stone to the wider resources available to SAS users.

GBP 180.00
1

A Handbook of Statistical Analyses using R

A Handbook of Statistical Analyses using R

Like the best-selling first two editions A Handbook of Statistical Analyses using R Third Edition provides an up-to-date guide to data analysis using the R system for statistical computing. The book explains how to conduct a range of statistical analyses from simple inference to recursive partitioning to cluster analysis. New to the Third Edition Three new chapters on quantile regression missing values and Bayesian inference Extra material in the logistic regression chapter that describes a regression model for ordered categorical response variables Additional exercises More detailed explanations of R code New section in each chapter summarizing the results of the analyses Updated version of the HSAUR package (HSAUR3) which includes some slides that can be used in introductory statistics courses Whether you‘re a data analyst scientist or student this handbook shows you how to easily use R to effectively evaluate your data. With numerous real-world examples it emphasizes the practical application and interpretation of results.

GBP 180.00
1

Statistical Modeling and Machine Learning for Molecular Biology

Statistical Modeling and Machine Learning for Molecular Biology

Molecular biologists are performing increasingly large and complicated experiments but often have little background in data analysis. The book is devoted to teaching the statistical and computational techniques molecular biologists need to analyze their data. It explains the big-picture concepts in data analysis using a wide variety of real-world molecular biological examples such as eQTLs ortholog identification motif finding inference of population structure protein fold prediction and many more. The book takes a pragmatic approach focusing on techniques that are based on elegant mathematics yet are the simplest to explain to scientists with little background in computers and statistics. | Statistical Modeling and Machine Learning for Molecular Biology

GBP 180.00
1

Introduction to Randomized Controlled Clinical Trials

Introduction to Randomized Controlled Clinical Trials

Evidence from randomized controlled clinical trials is widely accepted as the only sound basis for assessing the efficacy of new medical treatments. Statistical methods play a key role in all stages of these trials including their justification design and analysis. This second edition of Introduction to Randomized Controlled Clinical Trials provides a concise presentation of the principles applied in this area. It details the concepts behind randomization and methods for designing and analyzing trials and also includes information on meta-analysis and specialized designs such as cross-over trials cluster-randomized designs and equivalence studies. This latest edition features new and revised references examples exercises and a new chapter dedicated to binary outcomes and survival analysis. It also presents numerous examples taken from the medical literature contains exercises at the end of each chapter and offers solutions in an appendix. The author uses Minitab and R software throughout the text for implementing the methods that are presented. Comprehensive and accessible Introduction to Randomized Controlled Clinical Trials is well-suited for those familiar with elementary statistical ideas and methods who want to further their knowledge of the subject.

GBP 180.00
1

Spatial Dynamics and Pattern Formation in Biological Populations

Spatial Dynamics and Pattern Formation in Biological Populations

The book provides an introduction to deterministic (and some stochastic) modeling of spatiotemporal phenomena in ecology epidemiology and neural systems. A survey of the classical models in the fields with up to date applications is given. The book begins with detailed description of how spatial dynamics/diffusive processes influence the dynamics of biological populations. These processes play a key role in understanding the outbreak and spread of pandemics which help us in designing the control strategies from the public health perspective. A brief discussion on the functional mechanism of the brain (single neuron models and network level) with classical models of neuronal dynamics in space and time is given. Relevant phenomena and existing modeling approaches in ecology epidemiology and neuroscience are introduced which provide examples of pattern formation in these models. The analysis of patterns enables us to study the dynamics of macroscopic and microscopic behaviour of underlying systems and travelling wave type patterns observed in dispersive systems. Moving on to virus dynamics authors present a detailed analysis of different types models of infectious diseases including two models for influenza five models for Ebola virus and seven models for Zika virus with diffusion and time delay. A Chapter is devoted for the study of Brain Dynamics (Neural systems in space and time). Significant advances made in modeling the reaction-diffusion systems are presented and spatiotemporal patterning in the systems is reviewed. Development of appropriate mathematical models and detailed analysis (such as linear stability weakly nonlinear analysis bifurcation analysis control theory numerical simulation) are presented. Key Features Covers the fundamental concepts and mathematical skills required to analyse reaction-diffusion models for biological populations. Concepts are introduced in such a way that readers with a basic knowledge of differential equations and numerical methods can understand the analysis. The results are also illustrated with figures. Focuses on mathematical modeling and numerical simulations using basic conceptual and classic models of population dynamics Virus and Brain dynamics. Covers wide range of models using spatial and non-spatial approaches. Covers single two and multispecies reaction-diffusion models from ecology and models from bio-chemistry. Models are analysed for stability of equilibrium points Turing instability Hopf bifurcation and pattern formations. Uses Mathematica for problem solving and MATLAB for pattern formations. Contains solved Examples and Problems in Exercises. The Book is suitable for advanced undergraduate graduate and research students. For those who are working in the above areas it provides information from most of the recent works. The text presents all the fundamental concepts and mathematical skills needed to build models and perform analyses. | Spatial Dynamics and Pattern Formation in Biological Populations

GBP 205.00
1

A Primer on Wavelets and Their Scientific Applications

A Primer on Wavelets and Their Scientific Applications

In the first edition of his seminal introduction to wavelets James S. Walker informed us that the potential applications for wavelets were virtually unlimited. Since that time thousands of published papers have proven him true while also necessitating the creation of a new edition of his bestselling primer. Updated and fully revised to include the latest developments this second edition of A Primer on Wavelets and Their Scientific Applications guides readers through the main ideas of wavelet analysis in order to develop a thorough appreciation of wavelet applications. Ingeniously relying on elementary algebra and just a smidgen of calculus Professor Walker demonstrates how the underlying ideas behind wavelet analysis can be applied to solve significant problems in audio and image processing as well in biology and medicine. Nearly twice as long as the original this new edition provides 104 worked examples and 222 exercises constituting a veritable book of review material Two sections on biorthogonal wavelets A mini-course on image compression including a tutorial on arithmetic compression Extensive material on image denoising featuring a rarely covered technique for removing isolated randomly positioned clutter Concise yet complete coverage of the fundamentals of time-frequency analysis showcasing its application to audio denoising and musical theory and synthesis An introduction to the multiresolution principle a new mathematical concept in musical theory Expanded suggestions for research projects An enhanced list of references

GBP 180.00
1

Elliptic Operators Topology and Asymptotic Methods

Elliptic Operators Topology and Asymptotic Methods

Ten years after publication of the popular first edition of this volume the index theorem continues to stand as a central result of modern mathematics-one of the most important foci for the interaction of topology geometry and analysis. Retaining its concise presentation but offering streamlined analyses and expanded coverage of important examples and applications Elliptic Operators Topology and Asymptotic Methods Second Edition introduces the ideas surrounding the heat equation proof of the Atiyah-Singer index theorem. The author builds towards proof of the Lefschetz formula and the full index theorem with four chapters of geometry five chapters of analysis and four chapters of topology. The topics addressed include Hodge theory Weyl's theorem on the distribution of the eigenvalues of the Laplacian the asymptotic expansion for the heat kernel and the index theorem for Dirac-type operators using Getzler's direct method. As a dessert the final two chapters offer discussion of Witten's analytic approach to the Morse inequalities and the L2-index theorem of Atiyah for Galois coverings. The text assumes some background in differential geometry and functional analysis. With the partial differential equation theory developed within the text and the exercises in each chapter Elliptic Operators Topology and Asymptotic Methods becomes the ideal vehicle for self-study or coursework. Mathematicians researchers and physicists working with index theory or supersymmetry will find it a concise but wide-ranging introduction to this important and intriguing field.

GBP 180.00
1

Semigroups of Bounded Operators and Second-Order Elliptic and Parabolic Partial Differential Equations

Semigroups of Bounded Operators and Second-Order Elliptic and Parabolic Partial Differential Equations

Semigroups of Bounded Operators and Second-Order Elliptic and Parabolic Partial Differential Equations aims to propose a unified approach to elliptic and parabolic equations with bounded and smooth coefficients. The book will highlight the connections between these equations and the theory of semigroups of operators while demonstrating how the theory of semigroups represents a powerful tool to analyze general parabolic equations. Features Useful for students and researchers as an introduction to the field of partial differential equations of elliptic and parabolic types Introduces the reader to the theory of operator semigroups as a tool for the analysis of partial differential equations

GBP 180.00
1

A Concise Introduction to Pure Mathematics

A Concise Introduction to Pure Mathematics

Accessible to all students with a sound background in high school mathematics A Concise Introduction to Pure Mathematics Fourth Edition presents some of the most fundamental and beautiful ideas in pure mathematics. It covers not only standard material but also many interesting topics not usually encountered at this level such as the theory of solving cubic equations; Euler‘s formula for the numbers of corners edges and faces of a solid object and the five Platonic solids; the use of prime numbers to encode and decode secret information; the theory of how to compare the sizes of two infinite sets; and the rigorous theory of limits and continuous functions. New to the Fourth Edition Two new chapters that serve as an introduction to abstract algebra via the theory of groups covering abstract reasoning as well as many examples and applications New material on inequalities counting methods the inclusion-exclusion principle and Euler‘s phi function Numerous new exercises with solutions to the odd-numbered ones Through careful explanations and examples this popular textbook illustrates the power and beauty of basic mathematical concepts in number theory discrete mathematics analysis and abstract algebra. Written in a rigorous yet accessible style it continues to provide a robust bridge between high school and higher-level mathematics enabling students to study more advanced courses in abstract algebra and analysis.

GBP 180.00
1

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
1

Handbook of Discrete and Computational Geometry

Handbook of Discrete and Computational Geometry

The Handbook of Discrete and Computational Geometry is intended as a reference book fully accessible to nonspecialists as well as specialists covering all major aspects of both fields. The book offers the most important results and methods in discrete and computational geometry to those who use them in their work both in the academic world—as researchers in mathematics and computer science—and in the professional world—as practitioners in fields as diverse as operations research molecular biology and robotics. Discrete geometry has contributed significantly to the growth of discrete mathematics in recent years. This has been fueled partly by the advent of powerful computers and by the recent explosion of activity in the relatively young field of computational geometry. This synthesis between discrete and computational geometry lies at the heart of this Handbook. A growing list of application fields includes combinatorial optimization computer-aided design computer graphics crystallography data analysis error-correcting codes geographic information systems motion planning operations research pattern recognition robotics solid modeling and tomography.

GBP 240.00
1

A Concise Introduction to Statistical Inference

A Concise Introduction to Statistical Inference

This short book introduces the main ideas of statistical inference in a way that is both user friendly and mathematically sound. Particular emphasis is placed on the common foundation of many models used in practice. In addition the book focuses on the formulation of appropriate statistical models to study problems in business economics and the social sciences as well as on how to interpret the results from statistical analyses. The book will be useful to students who are interested in rigorous applications of statistics to problems in business economics and the social sciences as well as students who have studied statistics in the past but need a more solid grounding in statistical techniques to further their careers. Jacco Thijssen is professor of finance at the University of York UK. He holds a PhD in mathematical economics from Tilburg University Netherlands. His main research interests are in applications of optimal stopping theory stochastic calculus and game theory to problems in economics and finance. Professor Thijssen has earned several awards for his statistics teaching. | A Concise Introduction to Statistical Inference

GBP 180.00
1