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Statistical Inference

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出版日:2011/01/28 作者:Raymond H. Myers; Keying E. Ye; Sharon L. Myers; Ronald E. Walpole  出版社:新月圖書  裝訂:平裝
International edition of 9th edition. This classic text provides a rigorous introduction to basic probability theory and statistical inference, with a unique balance of theory and methodology. Interes
出版日:2007/07/01 作者:Scott M. Lynch  出版社:Springer Nature  裝訂:平裝
This book outlines Bayesian statistical analysis in great detail, from the development of a model through the process of making statistical inference. The key feature of this book is that it covers mo
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出版日:2007/03/23 作者:Peter D. Grnnwald; Jorma Rissanen  出版社:Mit Pr  裝訂:精裝
The minimum description length (MDL) principle is a powerful method of inductive inference, the basis of statistical modeling, pattern recognition, and machine learning. It holds that the best explan
出版日:2005/02/25 作者:PeterD. Grunwald  出版社:Bradford Books  裝訂:精裝
The process of inductive inference -- to infer general laws and principles from particular instances -- is the basis of statistical modeling, pattern recognition, and machine learning. The Minimum Des
出版日:2000/05/19 作者:GEORGE  出版社:JOHN WILEY & SONS;LTD  裝訂:平裝
The book contains a number of articles on nonlinear dynamic modeling in economics. They cover topics such as chaos, robustness, statistical inference and undecidability. They have been selected to be
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出版日:1990/03/14 作者:Lorenz Kruger  出版社:Bradford Books  裝訂:平裝
Probability ideas are the success story common to the growth of the modern natural and social sciences. Chance, indeterminism, and statistical inference have radically and globally transformed the sci
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