Statistics Books

New and Published Books

1. Monte Carlo Simulation with Applications to Finance

   By Hui Wang

   Series: Chapman & Hall/CRC Financial Mathematics Series

   Developed from the author’s course on Monte Carlo simulation at Brown University, Monte Carlo Simulation with Applications to Finance provides a self-contained introduction to Monte Carlo methods in financial engineering. It is suitable for advanced undergraduate and graduate students taking a...

   Published May 21st 2012 by Chapman and Hall/CRC
2. 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
3. Customer and Business Analytics

   Applied Data Mining for Business Decision Making Using R

   By Daniel S. Putler, Robert E. Krider

   Series: Chapman &Hall/CRC The R Series

   Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying open-source software, how advanced analytical tools can address various business problems. It also gives insight into some of the challenges faced when deploying...

   Published May 6th 2012 by Chapman and Hall/CRC
4. 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
5. Simulating Nature

   A Philosophical Study of Computer-Simulation Uncertainties and Their Role in Climate Science and Policy Advice, Second Edition

   By Arthur C. Petersen

   Computer simulation has become an important means for obtaining knowledge about nature. The practice of scientific simulation and the frequent use of uncertain simulation results in public policy raise a wide range of philosophical questions. Most prominently highlighted is the field of...

   Published April 23rd 2012 by Chapman and Hall/CRC
6. 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
7. 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
8. Event History Analysis with R

   By Göran Broström

   Series: Chapman &Hall/CRC The R Series

   With an emphasis on social science applications, Event History Analysis with R presents an introduction to survival and event history analysis using real-life examples. Keeping mathematical details to a minimum, the book covers key topics, including both discrete and continuous time data,...

   Published April 2nd 2012 by CRC Press
9. 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
10. 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