Statistical Theory & Methods Books

New and Published Books

1. Statistical Methods for Stochastic Differential Equations

   By Mathieu Kessler, Alexander Lindner, Michael Sorensen

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

   The seventh volume in the SemStat series, Statistical Methods for Stochastic Differential Equations presents current research trends and recent developments in statistical methods for stochastic differential equations. Written to be accessible to both new students and seasoned researchers, each...

   Published May 16th 2012 by Chapman and Hall/CRC
2. Maximum Likelihood Estimation for Sample Surveys

   By Raymond L. Chambers, David G. Steel, Suojin Wang, Alan Welsh

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

   Sample surveys provide data used by researchers in a large range of disciplines to analyze important relationships using well-established and widely-used likelihood methods. The methods used to select samples often result in the sample differing in important ways from the target population and...

   Published May 1st 2012 by Chapman and Hall/CRC
3. Interpreting and Visualizing Regression Models Using Stata

   By Michael N. Mitchell

   Michael Mitchell's Interpreting and Visualizing Regression Models Using Stata is a clear treatment of how to carefully present results from model-fitting in a wide variety of settings. It is a boon to anyone who has to present the tangible meaning of a complex model in a clear fashion, regardless...

   Published April 18th 2012 by Stata Press
4. Multivariate Survival Analysis and Competing Risks

   By Martin J. Crowder

   Series: Chapman & Hall/CRC Texts in Statistical Science

   Multivariate Survival Analysis and Competing Risks introduces univariate survival analysis and extends it to the multivariate case. It covers competing risks and counting processes and provides many real-world examples, exercises, and R code. The text discusses survival data, survival distributions...

   Published April 16th 2012 by Chapman and Hall/CRC
5. Multilevel and Longitudinal Modeling Using Stata, Volumes I and II, Third Edition

   By Sophia Rabe-Hesketh, Anders Skrondal

   This book examines Stata's treatment of generalized linear mixed models, also known as multilevel or hierarchical models. These models are "mixed" because they allow fixed and random effects, and they are "generalized" because they are appropriate for continuous Gaussian responses as well as binary...

   Published April 1st 2012 by Stata Press
6. Multilevel and Longitudinal Modeling Using Stata, Volume I

   Continuous Responses, Third Edition

   By Sophia Rabe-Hesketh, Anders Skrondal

   Volume I is devoted to continuous Gaussian linear mixed models and has nine chapters. The chapters are organized in four parts. The first part provides a review of the methods of linear regression. The second part provides an in-depth coverage of the two-level models, the simplest extensions of a...

   Published April 1st 2012 by Stata Press
7. Multilevel and Longitudinal Modeling Using Stata, Volume II

   Categorical Responses, Counts, and Survival, Third Edition

   By Sophia Rabe-Hesketh, Anders Skrondal

   Volume II is devoted to generalized linear mixed models for binary, categorical, count, and survival outcomes. The second volume has seven chapters also organized in four parts. The first three parts in volume II cover models for categorical responses, including binary, ordinal, and nominal (a new...

   Published April 1st 2012 by Stata Press
8. Flexible Imputation of Missing Data

   By Stef van Buuren

   Series: Chapman & Hall/CRC Interdisciplinary Statistics

   Missing data form a problem in every scientific discipline, yet the techniques required to handle them are complicated and often lacking. One of the great ideas in statistical science—multiple imputation—fills gaps in the data with plausible values, the uncertainty of which is coded in the data...

   Published March 28th 2012 by Chapman and Hall/CRC
9. R for Statistics

   By Pierre-Andre Cornillon, Arnaud Guyader, Francois Husson, Nicolas Jegou, Julie Josse, Maela Kloareg, Eric Matzner-Lober, Laurent Rouvière

   Although there are currently a wide variety of software packages suitable for the modern statistician, R has the triple advantage of being comprehensive, widespread, and free. Published in 2008, the second edition of Statistiques avec R enjoyed great success as an R guidebook in the French-speaking...

   Published March 20th 2012 by Chapman and Hall/CRC
10. Economic Time Series

    Modeling and Seasonality

    Edited by William R. Bell, Scott H. Holan, Tucker S. McElroy

    Economic Time Series: Modeling and Seasonality is a focused resource on analysis of economic time series as pertains to modeling and seasonality, presenting cutting-edge research that would otherwise be scattered throughout diverse peer-reviewed journals. This compilation of 21 chapters showcases...

    Published March 18th 2012 by Chapman and Hall/CRC