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Quantitative Methods Books

You are currently browsing 41–50 of 96 new and published books in the subject of Quantitative Methods — sorted by publish date from newer books to older books.

For books that are not yet published; please browse forthcoming books.

New and Published Books – Page 5

  1. Social Connectionism

    A Reader and Handbook for Simulations

    By Frank Van Overwalle

    Many of our thoughts and decisions occur without us being conscious of them taking place; connectionism attempts to reveal the internal hidden dynamics that drive the thoughts and actions of both individuals and groups. Connectionist modeling is a radically innovative approach to theorising in...

    Published April 25th 2007 by Psychology Press

  2. MATLAB for Behavioral Scientists

    By David A. Rosenbaum

    Behavioral scientists use computers in virtually all their work—from data collection to analysis, presentation, and simulation. However, there has been no book written to date specifically for behavioral scientists on how to program with a general-purpose programming language. MATLAB for...

    Published March 6th 2007 by Psychology Press

  3. Randomization Tests, Fourth Edition

    By Eugene Edgington, Eugene Edgington, Patrick Onghena

    Series: Statistics: A Series of Textbooks and Monographs

    The number of innovative applications of randomization tests in various fields and recent developments in experimental design, significance testing, computing facilities, and randomization test algorithms have necessitated a new edition of Randomization Tests. Updated, reorganized, and revised,...

    Published February 21st 2007 by Chapman and Hall/CRC

  4. Event History Analysis With Stata

    By Hans-Peter Blossfeld, Katrin Golsch, Gotz Rohwer

    Event History Analysis With Stata provides an introduction to event history modeling techniques using Stata (version 9), a widely used statistical program that provides tools for data analysis. The book emphasizes the usefulness of event history models for causal analysis in the social sciences and...

    Published February 1st 2007 by Psychology Press

  5. Handbook of Statistical Analyses Using Stata, Fourth Edition

    By Brian S. Everitt, Sophia Rabe-Hesketh

    With each new release of Stata, a comprehensive resource is needed to highlight the improvements as well as discuss the fundamentals of the software. Fulfilling this need, A Handbook of Statistical Analyses Using Stata, Fourth Edition has been fully updated to provide an introduction to Stata...

    Published November 14th 2006 by Chapman and Hall/CRC

  6. Univariate and Multivariate General Linear Models

    Theory and Applications with SAS, Second Edition

    By Kevin Kim, Neil Timm

    Series: Statistics: A Series of Textbooks and Monographs

    Reviewing the theory of the general linear model (GLM) using a general framework, Univariate and Multivariate General Linear Models: Theory and Applications with SAS, Second Edition presents analyses of simple and complex models, both univariate and multivariate, that employ data sets from a...

    Published October 10th 2006 by Chapman and Hall/CRC

  7. Analyzing Rater Agreement

    Manifest Variable Methods

    By Alexander von Eye, Eun Young Mun

    Agreement among raters is of great importance in many domains. For example, in medicine, diagnoses are often provided by more than one doctor to make sure the proposed treatment is optimal. In criminal trials, sentencing depends, among other things, on the complete agreement among the jurors. In...

    Published September 6th 2006 by Psychology Press

  8. An Introduction to Modern Econometrics Using Stata

    By Christopher F. Baum

    Integrating a contemporary approach to econometrics with the powerful computational tools offered by Stata, An Introduction to Modern Econometrics Using Stata focuses on the role of method-of-moments estimators, hypothesis testing, and specification analysis and provides practical examples that...

    Published August 16th 2006 by Stata Press

  9. Multidimensional Nonlinear Descriptive Analysis

    By Shizuhiko Nishisato

    Quantification of categorical, or non-numerical, data is a problem that scientists face across a wide range of disciplines. Exploring data analysis in various areas of research, such as the social sciences and biology, Multidimensional Nonlinear Descriptive Analysis presents methods for analyzing...

    Published June 25th 2006 by Chapman and Hall/CRC

  10. Multiple Correspondence Analysis and Related Methods

    Edited by Michael Greenacre, Jorg Blasius

    Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

    As a generalization of simple correspondence analysis, multiple correspondence analysis (MCA) is a powerful technique for handling larger, more complex datasets, including the high-dimensional categorical data often encountered in the social sciences, marketing, health economics, and biomedical...

    Published June 22nd 2006 by Chapman and Hall/CRC