Statistics Books

New and Published Books

1. Latent Variable and Latent Structure Models

   Edited by George A. Marcoulides, Irini Moustaki

   Series: Quantitative Methodology Series

   This edited volume features cutting-edge topics from the leading researchers in the areas of latent variable modeling. Content highlights include coverage of approaches dealing with missing values, semi-parametric estimation, robust analysis, hierarchical data, factor scores, multi-group analysis,...

   Published June 19th 2013 by Psychology Press
2. New Developments in Categorical Data Analysis for the Social and Behavioral Sciences

   Edited by L. Andries van der Ark, Marcel A. Croon, Klaas Sijtsma

   Series: Quantitative Methodology Series

   Categorical data are quantified as either nominal variables--distinguishing different groups, for example, based on socio-economic status, education, and political persuasion--or ordinal variables--distinguishing levels of interest, such as the preferred politician or the preferred type of...

   Published June 19th 2013 by Psychology Press
3. Modeling Intraindividual Variability With Repeated Measures Data

   Methods and Applications

   Edited by Scott L. Hershberger, D.S. Moskowitz

   Series: Multivariate Applications Series

   This book examines how individuals behave across time and to what degree that behavior changes, fluctuates, or remains stable. It features the most current methods on modeling repeated measures data as reported by a distinguished group of experts in the field. The goal is to make the latest...

   Published June 19th 2013 by Psychology Press
4. Navigating Strategic Decisions

   The Power of Sound Analysis and Forecasting

   By John E. Triantis

   Based on four decades of experience and research, Navigating Strategic Decisions: The Power of Sound Analysis and Forecasting explains how to improve the decision-making process in your organization through the use of better long-term forecasts and decision support. Filled with time-tested...

   Published June 11th 2013 by Productivity Press
5. Survival Analysis in Medicine and Genetics

   By Jialiang Li, Shuangge Ma

   Series: Chapman & Hall/CRC Biostatistics Series

   Using real data sets throughout, Survival Analysis in Medicine and Genetics introduces the latest methods for analyzing high-dimensional survival data. It provides thorough coverage of recent statistical developments in the medical and genetics fields. The text mainly addresses special concerns...

   Published June 3rd 2013 by Chapman and Hall/CRC
6. Agricultural Statistical Data Analysis Using Stata

   By George Boyhan

   Practical statistics is a powerful tool used frequently by agricultural researchers and graduate students involved in investigating experimental design and analysis. One of the most widely used statistical analysis software packages for this purpose is Stata. The Stata software program has matured...

   Published June 3rd 2013 by CRC Press
7. A Primer of Multivariate Statistics

   3rd Edition

   By Richard J. Harris

   Drawing upon more than 30 years of experience in working with statistics, Dr. Richard J. Harris has updated A Primer of Multivariate Statistics to provide a model of balance between how-to and why. This classic text covers multivariate techniques with a taste of latent variable approaches....

   Published June 2nd 2013 by Psychology Press
8. Methods of Statistical Model Estimation

   By Joseph Hilbe, Andrew Robinson

   Methods of Statistical Model Estimation examines the most important and popular methods used to estimate parameters for statistical models and provide informative model summary statistics. Designed for R users, the book is also ideal for anyone wanting to better understand the algorithms used for...

   Published May 27th 2013 by Chapman and Hall/CRC
9. Mean Field Simulation for Monte Carlo Integration

   By Pierre Del Moral

   Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

   In the last three decades, there has been a dramatic increase in the use of interacting particle methods as a powerful tool in real-world applications of Monte Carlo simulation in computational physics, population biology, computer sciences, and statistical machine learning. Ideally suited to...

   Published May 19th 2013 by Chapman and Hall/CRC
10. Applied Meta-Analysis with R

    By Ding-Geng (Din) Chen, Karl E. Peace

    Series: Chapman & Hall/CRC Biostatistics Series

    In biostatistical research and courses, practitioners and students often lack a thorough understanding of how to apply statistical methods to synthesize biomedical and clinical trial data. Filling this knowledge gap, Applied Meta-Analysis with R shows how to implement statistical meta-analysis...

    Published May 2nd 2013 by Chapman and Hall/CRC