Modern Statistics for the Social and Behavioral Sciences: A Practical Introduction, Second Edition

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Categorical Data Analysis, 3e John Wiley & Sons Inc

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Praise for the Second Edition§"A must-have book for anyone expecting to do research and/or applications in categorical data analysis."§--Statistics in Medicine§"It is a total delight reading this book."§--Pharmaceutical Research§"If you do any analysis of categorical data, this is an essential desktop reference."§--Technometrics§The use of statistical methods for analyzing categorical data has increased dramatically, particularly in the biomedical, social sciences, and financial industries. Responding to new developments, this book offers a comprehensive treatment of the most important methods for categorical data analysis.§Categorical Data Analysis, Third Edition summarizes the latest methods for univariate and correlated multivariate categorical responses. Readers will find a unified generalized linear models approach that connects logistic regression and Poisson and negative binomial loglinear models for discrete data with normal regression for continuous data. This edition also features:§An emphasis on logistic and probit regression methods for binary, ordinal, and nominal responses for independent observations and for clustered data with marginal models and random effects models§Two new chapters on alternative methods for binary response data, including smoothing and regularization methods, classification methods such as linear discriminant analysis and classification trees, and cluster analysis§New sections introducing the Bayesian approach for methods in that chapter§More than 100 analyses of data sets and over 600 exercises§Notes at the end of each chapter that provide references to recent research and topics not covered in the text, linked to a bibliography of more than 1,200 sources§A supplementary website showing how to use R and SAS; for all examples in the text, with information also about SPSS and Stata and with exercise solutions§Categorical Data Analysis, Third Edition is an invaluable tool for statisticians and methodologists, such as biostatisticians and researchers in the social and behavioral sciences, medicine and public health, marketing, education, finance, biological and agricultural sciences, and industrial quality control.

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Time Series Analysis and Its Applications Springer International Publishing AG

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The fourth edition of this popular graduate textbook, like its predecessors, presents a balanced and comprehensive treatment of both time and frequency domain methods with accompanying theory. Numerous examples using nontrivial data illustrate solutions to problems such as discovering natural and anthropogenic climate change, evaluating pain perception experiments using functional magnetic resonance imaging, and monitoring a nuclear test ban treaty.The book is designed as a textbook for graduate level students in the physical, biological, and social sciences and as a graduate level text in statistics. Some parts may also serve as an undergraduate introductory course. Theory and methodology are separated to allow presentations on different levels. In addition to coverage of classical methods of time series regression, ARIMA models, spectral analysis and state-space models, the text includes modern developments including categorical time series analysis, multivariate spectral methods, long memory series, nonlinear models, resampling techniques, GARCH models, ARMAX models, stochastic volatility, wavelets, and Markov chain Monte Carlo integration methods.This edition includes R code for each numerical example in addition to Appendix R, which provides a reference for the data sets and R scripts used in the text in addition to a tutorial on basic R commands and R time series. An additional file is available on the book's website for download, making all the data sets and scripts easy to load into R.

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Security and Loss Prevention Elsevier - Health Sciences Division

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Security and Loss Prevention: An Introduction, Seventh Edition, provides introductory and advanced information on the security profession. Security expert, Phil Purpura, CPP, includes updates on security research, methods, strategies, technologies, laws, issues, statistics and career options, providing a comprehensive and interdisciplinary book that draws on many fields of study for concepts, strategies of protection and research. The book explains the real-world challenges facing security professionals and offers options for planning solutions. Linking physical security with IT security, the book covers internal and external threats to people and assets and private and public sector responses and issues.As in previous editions, the book maintains an interactive style that includes examples, illustrations, sidebar questions, boxed topics, international perspectives and web exercises. In addition, course instructors can download ancillaries, including an instructor's manual with outlines of chapters, discussion topics/special projects, essay questions, and a test bank and PowerPoint presentation for each chapter.Covers the latest developments, such as ransomware, the Internet of things, marijuana legalization and climate change, and their role in security and loss prevention Incorporates changes in laws, presents various strategies of asset protection and covers the ever-evolving technology of security and loss prevention Utilizes end-of-chapter problems that relate content to real security situations and issues, offering various perspectives Serves both students and professionals interested in security and loss prevention for a wide variety of operations-industrial, critical infrastructure sectors, retail, healthcare, schools, non-profits, homeland security agencies, the military, criminal justice agencies, other government agencies, and more

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