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.
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...
評分很不错的,一本概率统计书,记得以前在艰难的看模式分类那书时,要是知道有该书做数学背景支持,就容易看多了。只要你有概率的基本知识(我以前是看ross那本概率论基础那书的)看这书,应该没问题。
評分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...
評分很不错的,一本概率统计书,记得以前在艰难的看模式分类那书时,要是知道有该书做数学背景支持,就容易看多了。只要你有概率的基本知识(我以前是看ross那本概率论基础那书的)看这书,应该没问题。
評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。
metric I之教材,統計學算是入門瞭。然而覺得要是能夠加一些矩陣語言就更好瞭...
评分經典教材
评分沒讀 感覺練習題太多瞭啊
评分講得很清楚很明白。
评分講得很清楚很明白。
本站所有內容均為互聯網搜索引擎提供的公開搜索信息,本站不存儲任何數據與內容,任何內容與數據均與本站無關,如有需要請聯繫相關搜索引擎包括但不限於百度,google,bing,sogou 等
© 2025 book.quotespace.org All Rights Reserved. 小美書屋 版权所有