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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.

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Statistical Inference 2024 pdf epub mobi 電子書下載

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這本書一定要看原版，是佛羅裏達大學大牛喬治-卡塞拉的經典之作，絕對值得一讀，不僅包含瞭經典的數理統計和概率論內容，而且介紹瞭很多新的方法。

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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...

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出版者:Duxbury Press

作者:George Casella

出品人:

頁數:650

譯者:

出版時間:2001-6-18

價格:GBP 45.99

裝幀:Hardcover

isbn號碼:9780534243128

叢書系列:Duxbury advanced series