You are currently browsing 81–90 of 148 new and published books in the subject of Statistics & Computing — sorted by publish date from newer books to older books.
For books that are not yet published; please browse forthcoming books.
A bestseller for nearly 25 years, Analysis of Messy Data, Volume 1: Designed Experiments helps applied statisticians and researchers analyze the kinds of data sets encountered in the real world. Written by two long-time researchers and professors, this second edition has been fully updated to...
Published March 1st 2009 by Chapman and Hall/CRC
Series: Chapman & Hall/CRC Computer Science & Data Analysis
Providing key information on how to work with research data, Introduction to Data Technologies presents ideas and techniques for performing critical, behind-the-scenes tasks that take up so much time and effort yet typically receive little attention in formal education. With a focus on...
Published February 22nd 2009 by Chapman and Hall/CRC
Suitable for a compact course or self-study, Computational Statistics: An Introduction to R illustrates how to use the freely available R software package for data analysis, statistical programming, and graphics. Integrating R code and examples throughout, the text only requires basic knowledge of...
Published January 25th 2009 by Chapman and Hall/CRC
Updated to reflect SAS 9.2, A Handbook of Statistical Analyses using SAS, Third Edition continues to provide a straightforward description of how to conduct various statistical analyses using SAS. Each chapter shows how to use SAS for a particular type of analysis. The authors cover inference,...
Published December 19th 2008 by Chapman and Hall/CRC
The Workflow of Data Analysis Using Stata, by J. Scott Long, is an essential productivity tool for data analysts. Long presents lessons gained from his experience and demonstrates how to design and implement efficient workflows for both one-person projects and team projects. After introducing...
Published December 9th 2008 by Stata Press
Interactively Run Simulations and Experiment with Real or Simulated Data to Make Sequential Analysis Come Alive Taking an accessible, nonmathematical approach to this field, Sequential Methods and Their Applications illustrates the efficiency of sequential methodologies when dealing with...
Published October 27th 2008 by Chapman and Hall/CRC
Series: Chapman & Hall/CRC Computer Science & Data Analysis
Interactive Graphics for Data Analysis: Principles and Examples discusses exploratory data analysis (EDA) and how interactive graphical methods can help gain insights as well as generate new questions and hypotheses from datasets. Fundamentals of Interactive Statistical GraphicsThe first part of...
Published October 23rd 2008 by Chapman and Hall/CRC
Series: Chapman & Hall/CRC Interdisciplinary Statistics
Focusing on data commonly found in public health databases and clinical settings, Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology provides an overview of the main areas of Bayesian hierarchical modeling and its application to the geographical analysis of disease. The book...
Published August 4th 2008 by Chapman and Hall/CRC
Series: Statistics: A Series of Textbooks and Monographs
A Cohesive Approach to Regression Models Confidence Intervals in Generalized Regression Models introduces a unified representation—the generalized regression model (GRM)—of various types of regression models. It also uses a likelihood-based approach for performing statistical inference from...
Published July 24th 2008 by Chapman and Hall/CRC
Series: Chapman & Hall/CRC Computer Science & Data Analysis
Due to its data handling and modeling capabilities as well as its flexibility, R is becoming the most widely used software in bioinformatics. R Programming for Bioinformatics explores the programming skills needed to use this software tool for the solution of bioinformatics and computational...
Published July 13th 2008 by Chapman and Hall/CRC
