Applied Bayesian modeling and causal inference from incomplete-data perspectives; an essential journey with Donald Rubin's statistical family.QA279 2004-053957 0-470-09043-X Applied Bayesian modeling and causal inference from incomplete-data perspectives; an essential journey with Donald Rubin's statistical family. Title main entry. Ed. by Andrew Gelman and Xiao-Li Meng. (Wiley series in probability and statistics See the separate articles on probability or the article on statistics. Statistical analysis depends on the characteristics of particular probability distributions, and the two topics are normally studied together. ) John Wiley John Wiley may refer to:
407 p. $99.95 Gelman (statistics, Columbia University Columbia University, mainly in New York City; founded 1754 as King's College by grant of King George II; first college in New York City, fifth oldest in the United States; one of the eight Ivy League institutions. ) and Meng (statistics, Harvard University Harvard University, mainly at Cambridge, Mass., including Harvard College, the oldest American college. Harvard College Harvard College, originally for men, was founded in 1636 with a grant from the General Court of the Massachusetts Bay Colony. ) collect articles from leading researchers on statistical methods relating to relating to relate prep → concernant relating to relate prep → bezüglich +gen, mit Bezug auf +acc missing data analysis, causal inference, and statistical modeling. Articles provide an overview of several important statistical topics for both research and applications, and describes a range of intermediate and advanced statistical techniques. Applications discussed range from the social and health sciences to the biological and physical sciences. The book is dedicated to Donald Rubin, in recognition of his contributions to statistics, particularly to the topic of statistical analysis with missing data. |
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