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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測量學實習 - 最新版 - 附贈OTAS題測系統
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A Second Course in Statistics:Regression Analysis
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多變量分析:專題及論文常用的統計方法(二版)
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問卷設計:如何規劃、建構與編寫有效市場研究之調查資料
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資料探勘與顧客分析─Modeler應用
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Cases in Systems Analysis and Design:Best Practices
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抽樣理論之應用:四位教授的精華Know-how
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抽樣調查方法講義與題解(二版)
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工業調查資料分析
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研究方法
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Applied Linear Regression Models
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Statistics for Engineering and the Sciences(五版)
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ystems Analysis And Design:A Comprehensive Methodology with Case
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結構方程模式中介與干擾效果
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