Statistical Methods for Categorical Data Analysis is designed as an accessible reference work and textbook about categorical data (that is, data arising from counts instead of measurement. Examples include data about birth, death, marriage, and so forth). It integrates statistical and econometric approaches to the analysis of limited and categorical dependent variables, thereby offering a practical, mathematically uncomplicated approach to the topics of modern data analysis. The volume offers a comprehensive presentation of many different models in a one-volume format (with website). Two features distinguish this book from other analyses of categorical data. First, the authors present both the transformational and latent variable approaches and so synthesize similar methods in statistical and econometric literatures. Second, the book has an applied orientation and features actual examples from social science research. The authors keep discussions of theory to a minimum.
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A Second Course in Statistics:Regression Analysis
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ystems Analysis And Design:A Comprehensive Methodology with Case
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Essentials of Business Research Methods(3版)
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Cases in Systems Analysis and Design:Best Practices
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Statistics for Engineering and the Sciences(五版)
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Applied Linear Regression Models
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Fuzzy Multiple Objective Decision Making
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