Statistics

Statistical Theory & Methods

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Handbook of Mixed Membership Models and Their Applications

1st Edition

Edoardo M. Airoldi, David Blei, Elena A. Erosheva, Stephen E. Fienberg
June 18, 2019

In response to scientific needs for more diverse and structured explanations of statistical data, researchers have discovered how to model individual data points as belonging to multiple groups. Handbook of Mixed Membership Models and Their Applications shows you how to use these flexible modeling...

Psychological Statistics and Psychometrics Using Stata

1st Edition

Scott Baldwin
June 11, 2019

Psychological Statistics and Psychometrics Using Stata is a complete and concise resource for students and researchers in the behavioral sciences. The author’s primary goal in this book is to help readers become competent users of statistics. To that end, he first introduces basic statistical...

Robust Statistical Methods with R, Second Edition

2nd Edition

Jana Jurečková, Jan Picek, Martin Schindler
May 23, 2019

The second edition of Robust Statistical Methods with R provides a systematic treatment of robust procedures with an emphasis on new developments and on the computational aspects. There are many numerical examples and notes on the R environment, and the updated chapter on the multivariate model...

Mixture Modelling for Medical and Health Sciences

1st Edition

Shu Kay Ng, Liming Xiang, Kelvin Kai Wing Yau
May 21, 2019

Mixture Modelling for Medical and Health Sciences provides a direct connection between theoretical developments in mixture modelling and their applications in real world problems. The book describes the development of the most important concepts through comprehensive analyses of real and practical...

Time Series: A Data Analysis Approach Using R

1st Edition

Robert Shumway, David Stoffer
May 21, 2019

The goals of this text are to develop the skills and an appreciation for the richness and versatility of modern time series analysis as a tool for analyzing dependent data. A useful feature of the presentation is the inclusion of nontrivial data sets illustrating the richness of potential...

Multilevel Modeling Using R

2nd Edition

W. Holmes Finch, Jocelyn E. Bolin, Ken Kelley
May 20, 2019

Like its bestselling predecessor, Multilevel Modeling Using R, Second Edition provides the reader with a helpful guide to conducting multilevel data modeling using the R software environment. After reviewing standard linear models, the authors present the basics of multilevel models and explain how...

The Statistical Analysis of Multivariate Failure Time Data: A Marginal Modeling Approach

1st Edition

Ross L. Prentice, Shanshan Zhao
May 16, 2019

The Statistical Analysis of Multivariate Failure Time Data: A Marginal Modeling Approach provides an innovative look at methods for the analysis of correlated failure times. The focus is on the use of marginal single and marginal double failure hazard rate estimators for the extraction of...

The Analysis of Time Series: An Introduction with R

7th Edition

Chris Chatfield, Haipeng Xing
May 09, 2019

This new edition of this classic title, now in its seventh edition, presents a balanced and comprehensive introduction to the theory, implementation, and practice of time series analysis. The book covers a wide range of topics, including ARIMA models, forecasting methods, spectral analysis, linear...

Analysis of Integrated Data

1st Edition

Li-Chun Zhang, Raymond L. Chambers
May 08, 2019

The advent of "Big Data" has brought with it a rapid diversification of data sources, requiring analysis that accounts for the fact that these data have often been generated and recorded for different reasons. Data integration involves combining data residing in different sources to enable...

Bayesian Analysis of Time Series

1st Edition

Lyle D. Broemeling
April 23, 2019

In many branches of science relevant observations are taken sequentially over time. Bayesian Analysis of Time Series discusses how to use models that explain the probabilistic characteristics of these time series and then utilizes the Bayesian approach to make inferences about their parameters....

Bayesian Statistical Methods

1st Edition

Brian J. Reich, Sujit K. Ghosh
April 16, 2019

Bayesian Statistical Methods provides data scientists with the foundational and computational tools needed to carry out a Bayesian analysis. This book focuses on Bayesian methods applied routinely in practice including multiple linear regression, mixed effects models and generalized linear models (...

Sampling: Design and Analysis

2nd Edition

Sharon L. Lohr
April 09, 2019

This edition is a reprint of the second edition published by Cengage Learning, Inc. Reprinted with permission. What is the unemployment rate? How many adults have high blood pressure? What is the total area of land planted with soybeans? Sampling: Design and Analysis tells you how to design and...

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