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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向量自我迴歸模型:計量方法與R程式
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圖解品管統計方法
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Applied Linear Regression Models
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The Statistical Analysis of Time Series
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統計學:以SPSS For Windows為例(第五版)
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抽樣調查方法講義與題解(二版)
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A Second Course in Statistics:Regression Analysis
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數位學習品質管理
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結構方程模式中介與干擾效果
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研究方法
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不用數字的研究:質性研究的思辯脈絡(三版)
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ystems Analysis And Design:A Comprehensive Methodology with Case
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測量學實習 - 最新版 - 附贈OTAS題測系統
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資料探勘與顧客分析─Modeler應用
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工業調查資料分析
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Fundamental Statistics For The Behavioral Sciences
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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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進階結構方程模式
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