New and Published Books
21-30 of 32 results in Chapman & Hall/CRC Interdisciplinary Statistics
Models and Estimation
Overdispersion is commonly encountered in modelling data. Statisticians and those working in the application areas need to know how to deal with it, and this book provides a complete source for identifying and handling overdispersion. With increasing focus on modelling in the applied sciences, this...
Published August 15th 2004 by Chapman and Hall/CRC
Multilevel, Longitudinal, and Structural Equation Models
This book unifies and extends latent variable models, including multilevel or generalized linear mixed models, longitudinal or panel models, item response or factor models, latent class or finite mixture models, and structural equation models. Following a gentle introduction to latent variable...
Published May 11th 2004 by Chapman and Hall/CRC
Impacts and Bayesian Adjustments
Mismeasurement of explanatory variables is a common hazard when using statistical modeling techniques, and particularly so in fields such as biostatistics and epidemiology where perceived risk factors cannot always be measured accurately. With this perspective and a focus on both continuous and...
Published September 25th 2003 by Chapman and Hall/CRC
Although less than a decade old, the field of microarray data analysis is now thriving and growing at a remarkable pace. Biologists, geneticists, and computer scientists as well as statisticians all need an accessible, systematic treatment of the techniques used for analyzing the vast amounts of...
Published March 26th 2003 by Chapman and Hall/CRC
Natural scientists perceive and classify organisms primarily on the basis of their appearance and structure- their form , defined as that characteristic remaining invariant after translation, rotation, and possibly reflection of the object. The quantitative study of form and form change comprises...
Published January 19th 2001 by Chapman and Hall/CRC
Group sequential methods answer the needs of clinical trial monitoring committees who must assess the data available at an interim analysis. These interim results may provide grounds for terminating the study-effectively reducing costs-or may benefit the general patient population by allowing early...
Published September 15th 1999 by Chapman and Hall/CRC
Applications of Dynamical Systems in Search and Optimization
Certain algorithms that are known to converge can be renormalized or "blown up" at each iteration so that their local behavior can be seen. This creates dynamical systems that we can study with modern tools, such as ergodic theory, chaos, special attractors, and Lyapounov exponents. Furthermore, we...
Published August 27th 1999 by Chapman and Hall/CRC
A comprehensive summary of new and existing approaches to analyzing multiresponse data, Graphical Analysis of Multiresponse Data emphasizes graphical procedures. These procedures are then used, in various ways, to analyze, summarize, and present data from a specific, well-known plant breeding...
Published October 21st 1998 by Chapman and Hall/CRC
Statistics for Environmental Biology and Toxicology presents and illustrates statistical methods appropriate for the analysis of environmental data obtained in biological or toxicological experiments. Beginning with basic probability and statistical inferences, this text progresses through...
Published July 1st 1997 by Chapman and Hall/CRC
Modern astronomers encounter a vast range of challenging statistical problems, yet few are familiar with the wealth of techniques developed by statisticians. Conversely, few statisticians deal with the compelling problems confronted in astronomy. Astrostatistics bridges this gap. Authored by a...
Published August 1st 1996 by Chapman and Hall/CRC
Power Analysis of Trials with Multilevel Data
To Be Published July 27th 2015
Statistical Analysis of Questionnaires: A Unified Approach Based on R and Stata
To Be Published August 5th 2015
Missing Data Analysis in Practice
To Be Published October 19th 2015
Spatial Point Patterns: Methodology and Applications with R
To Be Published November 25th 2015
Statistics for Biological Networks: How to Infer Networks from Data
To Be Published June 15th 2016