This book builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and are natural extensions and consequences of previous concepts. Intended for first-year graduate students, this book can be used for students majoring in statistics who have a solid mathematics background. It can also be used in a way that stresses the more practical uses of statistical theory, being more concerned with understanding basic statistical concepts and deriving reasonable statistical procedures for a variety of situations, and less concerned with formal optimality investigations.
具体描述
读后感
这本书一定要看原版，是佛罗里达大学大牛乔治-卡塞拉的经典之作，绝对值得一读，不仅包含了经典的数理统计和概率论内容，而且介绍了很多新的方法。
评分This is a classical textbook for mathematical statistics. I have to say that this book is barely ok and clearly not a perfect one as it lacks the necessary rigorous math treatment. It seems to be too easy for a student with good math background but shows ev...
评分Read this book because it is the text for our PhD Econometrics I course, also mainly because it is recommended by Professor D, so first comes his comments on the book. "The standard PhD level first text on Math. Stats in all serious stats and econ departme...
评分这本书一定要看原版，是佛罗里达大学大牛乔治-卡塞拉的经典之作，绝对值得一读，不仅包含了经典的数理统计和概率论内容，而且介绍了很多新的方法。
评分这本书最最重要和值得大力推荐的是前5章（或者说前六章），很难想象象作者这样的大牛会潜心细细的讲解最最基本的一些东西，大牛就是大牛，基础讲的及其清晰！书的习题很多，网上有答案。但是对我这种不做题纯粹拿来看看到人，讲解中的例题分析也是很好的！应该说前5-6章读好了...
用户评价
suffcient，well constructed，great book
评分后半部分只系统地学习了MLE。
评分强力推荐! 前几章常用分布和变换的习题练下来 仿佛打通了任督二脉啊! 基础章节设计精妙而严密 读到Metropolis算法顿觉过渡如此自然毫无障碍 神来之笔! MLE和假设检验章节也非常扎实 运用车途和航程刷完全书 经验值和能级大涨!
评分PHC6092 Introduction to Biostatistical Theory 例题习题密密麻麻非常多 更良心的是习题有配套答案 拯救了我无数个想到秃顶也做不出题的日子（后来才发现是我校已故大牛写的书 简直不能更星星眼了
评分讲得很清楚很明白。
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