This lively and engaging book explains the things you have to know in order to read empirical papers in the social and health sciences, as well as the techniques you need to build statistical models of your own. The discussion in the book is organized around published studies, as are many of the exercises. Relevant journal articles are reprinted at the back of the book. Freedman makes a thorough appraisal of the statistical methods in these papers and in a variety of other examples. He illustrates the principles of modelling, and the pitfalls. The discussion shows you how to think about the critical issues - including the connection (or lack of it) between the statistical models and the real phenomena. The book is written for advanced undergraduates and beginning graduate students in statistics, as well as students and professionals in the social and health sciences.
具体描述
读后感
China-pub正在预售，很快就应该可以面市了......... http://www.china-pub.com/193511
评分读这本书是一种完完全全的享受。自从伯克利加利福尼亚大学统计系郁彬教授在2008年向我推荐这本书之后，我一开始期望的是一本数学味很强的标准回归分析教材。后来，完全出乎意外，这本书竟然是我多年来企图寻找却又不可得的涉及回归分析甚至统计领域核心问题的一本以不寻常的清...
评分China-pub正在预售，很快就应该可以面市了......... http://www.china-pub.com/193511
评分读这本书是一种完完全全的享受。自从伯克利加利福尼亚大学统计系郁彬教授在2008年向我推荐这本书之后，我一开始期望的是一本数学味很强的标准回归分析教材。后来，完全出乎意外，这本书竟然是我多年来企图寻找却又不可得的涉及回归分析甚至统计领域核心问题的一本以不寻常的清...
评分China-pub正在预售，很快就应该可以面市了......... http://www.china-pub.com/193511
用户评价
好长啊啊啊长长长，600多页我觉得我读不完
评分好长啊啊啊长长长，600多页我觉得我读不完
评分膜拜Freedman 215用
评分以后需要再看discussion questions
评分神作
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