maximum likelihood estimation logic and practice quantitative applications in the social sciences

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Maximum Likelihood Estimation

Author : Scott R. Eliason
ISBN : 0803941072
Genre : Mathematics
File Size : 42. 36 MB
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In this volume the underlying logic and practice of maximum likelihood (ML) estimation is made clear by providing a general modeling framework that utilizes the tools of ML methods. This framework offers readers a flexible modeling strategy since it accommodates cases from the simplest linear models to the most complex nonlinear models that link a system of endogenous and exogenous variables with non-normal distributions. Using examples to illustrate the techniques of finding ML estimators and estimates, Eliason discusses: what properties are desirable in an estimator; basic techniques for finding ML solutions; the general form of the covariance matrix for ML estimates; the sampling distribution of ML estimators; the application of ML in the normal distribution as well as in other useful distributions; and some helpful illustrations of likelihoods.

Odds Ratios In The Analysis Of Contingency Tables

Author : Tamás Rudas
ISBN : 0761903623
Genre : Mathematics
File Size : 64. 63 MB
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This volume shows how odds ratios can be used as a framework for understanding log-linear models. Moving systematically from the paradigmatic 2x2 case to more complicated cases, the author defines the odds ratio and demonstrates how it is a measure of association for tabular analysis. Real-world examples are consistently provided throughout the volume. By presenting categorical data models in a unified framework, you will learn not only how these models are related, but also additional interpretations of these models, not usually covered in other texts.

Multiple And Generalized Nonparametric Regression

Author : John Fox
ISBN : 0761921893
Genre : Social Science
File Size : 87. 68 MB
Format : PDF
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This book builds on John Fox's previous volume in the QASS Series, Non Parametric Simple Regression. In this book, the reader learns how to estimate and plot smooth functions when there are multiple independent variables.

Analyzing Complex Survey Data

Author : Eun Sul Lee
ISBN : 0761930388
Genre : Social Science
File Size : 53. 56 MB
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This book examines ways to analyze complex surveys, and focuses on the problems of weights and design effects. This new edition incorporates recent practice of analyzing complex survey data, introduces the new analytic approach for categorical data analysis (logistic regression), reviews new software and provides an introduction to the model-based analysis that can be useful analyzing well-designed, relatively small-scale social surveys.

Applied Logistic Regression Analysis

Author : Scott W. Menard
ISBN : UOM:39015037446286
Genre : Mathematics
File Size : 35. 26 MB
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Emphasizing the parallels between linear and logistic regression, Scott Menard explores logistic regression analysis and demonstrates its usefulness in analyzing dichotomous, polytomous nominal, and polytomous ordinal dependent variables. The book is aimed at readers with a background in bivariate and multiple linear regression.

Esrc Data Archive Bulletin

Author :
ISBN : IND:30000046721969
Genre : Data libraries
File Size : 77. 71 MB
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The Sage Encyclopedia Of Social Science Research Methods

Author : Michael Lewis-Beck
ISBN : 0761923632
Genre : Social Science
File Size : 40. 60 MB
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"This defining work will be valuable to readers and researchers in social sciences and humanities at all academic levels. As a teaching resource it will be useful to instructors and students alike and will become a standard reference source. Essential for general and academic collections." --CHOICE This Encyclopedia provides readers with authoritative essays on virtually all social science methods topics, quantitative and qualitative, by an international collection of experts. Organized alphabetically, the Encyclopedia of Social Science Research Methods covers research terms ranging from different methodological approaches to epistemological issues and specific statistical techniques. Written to be accessible to general readers, the Encyclopedia entries do not require advanced knowledge of mathematics or statistics to understand the purposes or basic principles of any of the methods. To accomplish this goal, there are two major types of entries: definitions consisting of a paragraph or two to provide a quick explanation of a methodological term; and topical treatments or essays that discuss the nature, history, applications, and implications of using a certain method, including suggested readings and references. Readers are directed to related topics via cross-referenced terms that appear in small capital letters. By assembling entries of varied origins and serving different research purposes, readers will be able to benefit from this immense source of methodological expertise in advancing their understanding of research. With three volumes and more than 900 signed entries, the Encyclopedia of Social Science Research Methods will be a critical addition to any social science library.

American Book Publishing Record

Author :
ISBN : UOM:39015023714663
Genre : United States
File Size : 83. 49 MB
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Proceedings Of The Section On Statistical Education

Author : American Statistical Association. Section on Statistical Education
ISBN : UOM:39015053966613
Genre : Educational statistics
File Size : 43. 83 MB
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Internet Data Collection

Author : Samuel J. Best
ISBN : 0761927107
Genre : Computers
File Size : 56. 96 MB
Format : PDF, ePub, Docs
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Designed for researchers and students alike, the volume describes how to perform each stage of the data collection process on the Internet, including sampling, instrument design, and administration. Through the use of non-technical prose and illustrations, it details the options available, describes potential dangers in choosing them, and provides guidelines for sidestepping them. In doing so, though, it does not simply reiterate the practices of traditional communication modes, but approaches the Internet as a unique medium that necessitates its own conventions.

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