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Showing 31-40 of 92 results (10 pages in total)
Randomization Tests, Fourth Edition
- By Patrick Onghena, Eugene Edgington and Eugene Edgington.
- Series Edited by N. Balakrishnan, William R. Schucany and Edward G. Schilling.
Published February 2007
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,…
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Event History Analysis With Stata
- By Hans-Peter Blossfeld, Katrin Golsch and Gotz Rohwer.
Published February 2007
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…
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Handbook of Parametric and Nonparametric Statistical Procedures
Fourth Edition
- By David J. Sheskin.
Published January 2007
With more than 500 pages of new material, the Handbook of Parametric and Nonparametric Statistical Procedures, Fourth Edition carries on the esteemed tradition of the previous editions, providing up-to-date, in-depth coverage of now more than 160 statistical procedures. The book also discusses both…
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Handbook of Statistical Analyses Using Stata, Fourth Edition
- By Brian S. Everitt, and Sophia Rabe-Hesketh.
Published November 2006
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…
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Univariate and Multivariate General Linear Models
Theory and Applications with SAS, Second Edition
- By Kevin Kim, and Neil Timm.
- Series Edited by N. Balakrishnan.
Published October 2006
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…
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Analyzing Rater Agreement
Manifest Variable Methods
- By Alexander von Eye, and Eun Young Mun.
Published September 2006
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…
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An Introduction to Modern Econometrics Using Stata
- By Christopher F. Baum.
Published August 2006
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…
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Multidimensional Nonlinear Descriptive Analysis
- By Shizuhiko Nishisato.
Published June 2006
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…
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Multiple Correspondence Analysis and Related Methods
- Edited by Michael Greenacre, and Jorg Blasius.
- Series Edited by Andrew Gelman, Sophia Rabe-Hesketh, Anders Skrondal and J. Scott Long.
- Contributions by Shizuhiko Nishisato, Elena Abascal Fernandez, Carolyn Anderson, Matthias Angermeyer, Monica Becue Bertaut, Antonio Blaquez Zaballos, Stephanie Bougeard, Henri Caussinus, Jan de Leeuw, M. Purificacion Galindo Villardon, Ignacio Garcia Lautre, Beatriz Goitisolo, John Gower, Patrick J. F. Groenen, Mohamed Hanafi, Willem Heiser, Alex Koning, Pieter Kroonenberg, Isabel Calvo, Ludovic Lebart, Herbert Matschinger, Oleg Nenadic, Ndeye Niang, Hicham Nocairi, Jerome Pages, Rafael Pardo, Mostafa Qannari, Henry Rouanet, Anne Ruiz-Gazen, Gilbert Saporta, Yoshio Takane, Victor Thiessen, Anna Torres Lacomba, Wijbrandt Schuur, Jose Luis Vicente Villardon, Matthijs J. Warrens, Amaya Zarraga and Heungsun Hwang.
Published June 2006
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…
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Quantitative Methods and Applications in GIS
- By Fahui Wang.
Published April 2006
Quantitative Methods and Applications in GIS integrates GIS, spatial analysis, and quantitative methods to address various issues in socioeconomic studies and public policy. Methods range from basic regression analysis to advanced topics such as linear programming and system of equations.…
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