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The Turing Test Argument

Rotating Machinery Research and Development Test Rigs

The Total CISSP Exam Prep Book Practice Questions Answers and Test Taking Tips and Techniques

GBP 160.00
1

PgMP Exam Practice Test and Study Guide

PgMP Exam Practice Test and Study Guide

PgMP Exam Practice Test and Study Guide Fourth Edition is the book you need to pass the Program Management Professional (PgMP) exam the first time around. It reflects recent revisions based on PMI's Standard for Program Management - Third Edition (2013). Based on best practices that complement PMI‘s standards this is the most comprehensive and up-to-date resource available to help you prepare for the exam with new and changed terminology. It includes a list of the major topics covered on the exam organized by the five performance domains‘strategic program management program life cycle benefits management stakeholder management and governance as presented in the Program Management Professional Examination Content Outline. It also includes helpful tips on how to make the most of the time you have available to prepare for the exam. Just like its bestselling predecessors this indispensable study guide includes 20 multiple-choice practice questions for each domain along with a comprehensive answer key. The program life cycle domain includes 20 questions for each of the five phases. Each question also has a plainly written rationale for each correct answer with bibliographic references for further study. Two challenging 170-question practice tests that simulate the actual exam are included in the book and online so you can retake them as many times as necessary. They also include a rationale and reference. Scores for the online tests are presented as if each question is rated similarly but this edition also includes a new component: the authors own weighting system for the level of difficulty for each question. This system will show you what they feel meets the exam‘s criteria for Proficient Moderately Proficient and below Proficient. You then will see your scores by domain in both approaches. Supplying an in | PgMP® Exam Practice Test and Study Guide

GBP 175.00
1

Military Pyrotechnics Principles and Practices

Military Pyrotechnics Principles and Practices

This book covers military pyrotechnics characteristics sensitivity combustion performance parameters ingredients and their behaviour various pyrotechnic compositions and their manufacturing methods filling pressing and assembly of ammunition and so forth. Divided into two broader sections namely military pyrotechnic compositions and military pyrotechnic ammunitions and devices it provides full spectrum of military pyrotechnics and a guide for all personnel involved with management of military pyrotechnic ammunitions and devices in design production inspection training and use. Features: Answers know what know why and know how of pyrotechnic compositions and pyrotechnic ammunitions and devices Explains various concepts and mechanisms of the military pyrotechnics Deliberates on role and characteristics of pyrotechnic compositions and its classification Discusses various factors affecting performance and some differences in military pyrotechnics Describes various methods of initiation of ignition in ammunition Elucidates basic requirements of pyrotechnic ammunitions its development and life cycle of ammunition lots Provides classification division shelf life compatibility and nomenclature of ammunitions and devices Reviews test/proof requirements of ammunitions and devices deployment and functioning defect classification sampling plan and acceptance criteria Explores latest trends in 'green pyrotechnics' for environment- friendly military pyrotechnics | Military Pyrotechnics Principles and Practices

GBP 150.00
1

Statistical Analysis for Education and Psychology Researchers Tools for researchers in education and psychology

Ethical Hacking and Penetration Testing Guide

Ethical Hacking and Penetration Testing Guide

Requiring no prior hacking experience Ethical Hacking and Penetration Testing Guide supplies a complete introduction to the steps required to complete a penetration test or ethical hack from beginning to end. You will learn how to properly utilize and interpret the results of modern-day hacking tools which are required to complete a penetration test. The book covers a wide range of tools including Backtrack Linux Google reconnaissance MetaGooFil dig Nmap Nessus Metasploit Fast Track Autopwn Netcat and Hacker Defender rootkit. Supplying a simple and clean explanation of how to effectively utilize these tools it details a four-step methodology for conducting an effective penetration test or hack. Providing an accessible introduction to penetration testing and hacking the book supplies you with a fundamental understanding of offensive security. After completing the book you will be prepared to take on in-depth and advanced topics in hacking and penetration testing. The book walks you through each of the steps and tools in a structured orderly manner allowing you to understand how the output from each tool can be fully utilized in the subsequent phases of the penetration test. This process will allow you to clearly see how the various tools and phases relate to each other. An ideal resource for those who want to learn about ethical hacking but don‘t know where to start this book will help take your hacking skills to the next level. The topics described in this book comply with international standards and with what is being taught in international certifications.

GBP 170.00
1

Get Through MRCOG Part 2: MCQs

Diatoms Ecology and Biotechnological Applications

Pressuremeters in Geotechnical Design

Fundamentals of Microfluidics and Lab on a Chip for Biological Analysis and Discovery

Fundamentals of Microfluidics and Lab on a Chip for Biological Analysis and Discovery

Lab-on-a-chip technology permits us to make many important discoveries that can only be observed at the microscale or the nanoscale. Using this technology biological and biochemical analyses translate into greater sensitivity more accurate results and more valuable findings. Authored by one of the fields pioneering researchers Fundamentals of Microfluidics and Lab on a Chip for Biological Analysis and Discovery focuses on all key aspects of microfluidic lab-on-a-chip technologies to offer an exceptionally cohesive overview of the science its limitations breakthroughs made over the years and currently emerging advances. The book emphasizes analytical applications of microfluidic technology and offers in-depth coverage of micromachining methods microfluidic operations chemical separations sample preparation and injection methods detection technology and various chemical and biological analyses. Other topics of interest include the use of polymeric chips fluid flow valve and control single-cell analysis DNA and RNA amplification techniques DNA hybridization immunoassays and enzymatic assays. The book includes more than 300 figures that depict novel chip functions and breakthroughs and 16 tables summarize materials and refer readers to additional resources. An appendix compiles extensive analytical applications from emerging and established research groups. Beginners in the field will find the book useful for navigating the vast literature related to the technology while experienced researchers will rely on the compiled information for easy comparison and references for further study. Derived from the highly popular Microfluidic Lab-on-a-Chip for Chemical and Biological Analysis and Discovery (2006) this volume is also readily adaptable for classroom use. Problem sets in each chapter help students test their assimilation of the material and clarify challenging conce

GBP 175.00
1

Automotive Accident Reconstruction Practices and Principles Second Edition

Drinking Water Chemistry A Laboratory Manual

Drinking Water Chemistry A Laboratory Manual

Whether you are a new employee or seasoned professional you need easy access to the latest test methods updated quality control procedures and calculations at your fingertips. You need to perform analyses quickly and easily and troubleshoot problems as they arise. You need a resource that is not only informative but also practical and easy to use. Drinking Water Chemistry: A Laboratory Manual fills this need. The book gives you a thorough overview of the most basic and therefore important laboratory topics such as: Laboratory Safety - dos and don'ts based on real experience Sampling - preservation techniques online sampling and record keeping Laboratory Instruments - practical use ranges principles of operation calibration conditioning useful life and replacement common quality control issues Chemical Use - reagents standards indicators purpose and use chemical quality and properties avoidance of contamination molecular weight calculations Quality Control - replicate analyses spiked split and reference samples percent recovery of standard standard deviation control charts and everyday quality control measures Weights and Concentrations - care and analytical balances mathematical conversions among concentration units dilutions and concentration changes The remaining chapters cover test analysis including: reason for the test type of sample taken treatment plant control significance expected range of results appropriate quality control procedures apparatus used reagents including function concentration and instructions for preparation procedural steps calculations and notes on possible problems and references. This is a working manual meant to be kept by your side in the lab not on the shelf in an office or library. You can bend it you can lay it flat you can take it anywhere you do your job. | Drinking Water Chemistry A Laboratory Manual

GBP 175.00
1

Indian Modernity Contradictions Paradoxes and Possibilities

Material Modeling in Finite Element Analysis

Images of the Enemy Reporting the New Cold War

Design and Optimization of Thermal Systems Third Edition with MATLAB Applications

Theory of Statistical Inference

Theory of Statistical Inference

Theory of Statistical Inference is designed as a reference on statistical inference for researchers and students at the graduate or advanced undergraduate level. It presents a unified treatment of the foundational ideas of modern statistical inference and would be suitable for a core course in a graduate program in statistics or biostatistics. The emphasis is on the application of mathematical theory to the problem of inference leading to an optimization theory allowing the choice of those statistical methods yielding the most efficient use of data. The book shows how a small number of key concepts such as sufficiency invariance stochastic ordering decision theory and vector space algebra play a recurring and unifying role. The volume can be divided into four sections. Part I provides a review of the required distribution theory. Part II introduces the problem of statistical inference. This includes the definitions of the exponential family invariant and Bayesian models. Basic concepts of estimation confidence intervals and hypothesis testing are introduced here. Part III constitutes the core of the volume presenting a formal theory of statistical inference. Beginning with decision theory this section then covers uniformly minimum variance unbiased (UMVU) estimation minimum risk equivariant (MRE) estimation and the Neyman-Pearson test. Finally Part IV introduces large sample theory. This section begins with stochastic limit theorems the δ-method the Bahadur representation theorem for sample quantiles large sample U-estimation the Cramér-Rao lower bound and asymptotic efficiency. A separate chapter is then devoted to estimating equation methods. The volume ends with a detailed development of large sample hypothesis testing based on the likelihood ratio test (LRT) Rao score test and the Wald test. Features This volume includes treatment of linear and nonlinear regression models ANOVA models generalized linear models (GLM) and generalized estimating equations (GEE). An introduction to decision theory (including risk admissibility classification Bayes and minimax decision rules) is presented. The importance of this sometimes overlooked topic to statistical methodology is emphasized. The volume emphasizes throughout the important role that can be played by group theory and invariance in statistical inference. Nonparametric (rank-based) methods are derived by the same principles used for parametric models and are therefore presented as solutions to well-defined mathematical problems rather than as robust heuristic alternatives to parametric methods. Each chapter ends with a set of theoretical and applied exercises integrated with the main text. Problems involving R programming are included. Appendices summarize the necessary background in analysis matrix algebra and group theory.

GBP 99.99
1

Bayesian Nonparametrics for Causal Inference and Missing Data

Bayesian Nonparametrics for Causal Inference and Missing Data

Bayesian Nonparametrics for Causal Inference and Missing Data provides an overview of flexible Bayesian nonparametric (BNP) methods for modeling joint or conditional distributions and functional relationships and their interplay with causal inference and missing data. This book emphasizes the importance of making untestable assumptions to identify estimands of interest such as missing at random assumption for missing data and unconfoundedness for causal inference in observational studies. Unlike parametric methods the BNP approach can account for possible violations of assumptions and minimize concerns about model misspecification. The overall strategy is to first specify BNP models for observed data and then to specify additional uncheckable assumptions to identify estimands of interest. The book is divided into three parts. Part I develops the key concepts in causal inference and missing data and reviews relevant concepts in Bayesian inference. Part II introduces the fundamental BNP tools required to address causal inference and missing data problems. Part III shows how the BNP approach can be applied in a variety of case studies. The datasets in the case studies come from electronic health records data survey data cohort studies and randomized clinical trials. Features • Thorough discussion of both BNP and its interplay with causal inference and missing data • How to use BNP and g-computation for causal inference and non-ignorable missingness • How to derive and calibrate sensitivity parameters to assess sensitivity to deviations from uncheckable causal and/or missingness assumptions • Detailed case studies illustrating the application of BNP methods to causal inference and missing data • R code and/or packages to implement BNP in causal inference and missing data problems The book is primarily aimed at researchers and graduate students from statistics and biostatistics. It will also serve as a useful practical reference for mathematically sophisticated epidemiologists and medical researchers.

GBP 90.00
1

Applied Linear Regression for Longitudinal Data With an Emphasis on Missing Observations

Social Psychology

Design and Analysis of Pragmatic Trials

Design and Analysis of Pragmatic Trials

This book begins with an introduction of pragmatic cluster randomized trials (PCTs) and reviews various pragmatic issues that need to be addressed by statisticians at the design stage. It discusses the advantages and disadvantages of each type of PCT and provides sample size formulas sensitivity analyses and examples for sample size calculation. The generalized estimating equation (GEE) method will be employed to derive sample size formulas for various types of outcomes from the exponential family including continuous binary and count variables. Experimental designs that have been frequently employed in PCTs will be discussed including cluster randomized designs matched-pair cluster randomized design stratified cluster randomized design stepped-wedge cluster randomized design longitudinal cluster randomized design and crossover cluster randomized design. It demonstrates that the GEE approach is flexible to accommodate pragmatic issues such as hierarchical correlation structures different missing data patterns randomly varying cluster sizes etc. It has been reported that the GEE approach leads to under-estimated variance with limited numbers of clusters. The remedy for this limitation is investigated for the design of PCTs. This book can assist practitioners in the design of PCTs by providing a description of the advantages and disadvantages of various PCTs and sample size formulas that address various pragmatic issues facilitating the proper implementation of PCTs to improve health care. It can also serve as a textbook for biostatistics students at the graduate level to enhance their knowledge or skill in clinical trial design. Key Features: Discuss the advantages and disadvantages of each type of PCTs and provide sample size formulas sensitivity analyses and examples. Address an unmet need for guidance books on sample size calculations for PCTs; A wide variety of experimental designs adopted by PCTs are covered; The sample size solutions can be readily implemented due to the accommodation of common pragmatic issues encountered in real-world practice; Useful to both academic and industrial biostatisticians involved in clinical trial design; Can be used as a textbook for graduate students majoring in statistics and biostatistics. | Design and Analysis of Pragmatic Trials

GBP 89.99
1