Probability and Statistics

疯凰
来自: 疯凰 (中国香港) 2009-04-29 16:23:49创建   2009-05-08 16:21:26更新
这里收藏一些别人推荐的概率统计的书
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Local Regression and Likelihood
(1人评价)
作者: Clive Loader
出版社: Springer
出版年: 1999-7-30
评语：All of Statistics: good start point for nonparametric regression by so called local regression
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Applied Nonparametric Regression
(3人评价)
作者: Wolfgang Hardle
出版社: Cambridge University Press
出版年: 1992-4-9
评语：All of Statistics: good start point for nonparametric regression
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Density Estimation for Statistical Data Analysis
(4人评价)
作者: B. W. Silverman
出版社: Chapman and Hall
出版年: 1986
评语：All of Statistics: Good book on density estimation
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Multivariate Density Estimation
(1人评价)
作者: Scott
出版社: John Wiley & Sons
出版年: 1992-8-17
评语：All of Statistics: Good book on density estimation
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Graphical Models (Oxford Statistical Science Series)
(1人评价)
作者: Steffen L. Lauritzen
出版社: Oxford University Press, USA
出版年: 1996-07-25
评语：All of Statistics: Undirected graph
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Graphical Models in Applied Multivariate Statistics
(0人评价)
作者: Whittaker
出版社: John Wiley & Sons
出版年: 1990-4-13
评语：All of Statistics: Undirected graph and log-linear models and graphical models
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Learning in Graphical Models (Adaptive Computation and Machine Learning)
(4人评价)
作者: Jordan, Michael I. 编
出版社: The MIT Press
出版年: 1998-11-27
评语：All of Statistics:DAGs
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Introduction to Graphical Modelling
(0人评价)
作者: David Edwards
出版社: Springer
出版年: 2000-06-15
评语：All of Statistics: DAG
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Probability
(2人评价)
作者: Leo Breiman
出版社: SIAM: Society for Industrial and Applied Mathematics
出版年: 1992-4
评语：All of Statistics: advanced level for probability
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Probability and Measure
9.0 (42人评价)
作者: Patrick Billingsley
出版社: Wiley-Interscience
出版年: 1995-5-1
评语：All of Statistics: advanced level for probability
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Probability
(1人评价)
作者: Alan F. Karr
出版社: Springer
出版年: 1993-8-26
评语：All of Statistics: Intermediate level for probability
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Probability and Random Processes
8.2 (67人评价)
作者: Geoffrey R. Grimmett / David R. Stirzaker
出版社: Oxford University Press, USA
出版年: 2001-8-2
评语：All of Statistics: Intermediate level for probability
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Unified Methods for Censored Longitudinal Data and Causality
(0人评价)
作者: Laan, M. J. Van Der/ Robins, James M./ Van Der Laan, M. J.
出版社: Springer Verlag
出版年: 2003-1
评语：All of Statistics: Causation
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Causation, Prediction and Search
(6人评价)
作者: Peter Spirtes / Clark Glymour / Richard Scheines
出版社: The MIT Press
出版年: 2001-1
评语：All of Statistics: Causation
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Observational Studies
(0人评价)
作者: Paul R. Rosenbaum
出版社: Springer
出版年: 2002-2-1
评语：All of Statistics: Causation
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Causality
(6人评价)
作者: Judea Pearl
出版社: Cambridge University Press
出版年: 2000-3-13
评语：All of Statistics: Causation
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An Introduction to Multivariate Statistical Analysis (Wiley Series in Probability and Statistics)
(10人评价)
作者: Theodore W. Anderson
出版社: Wiley-Interscience
出版年: 2003-07-25
评语：All of Statistics: reference for multivariate analysis
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Applied Multivariate Statistical Analysis
8.2 (78人评价)
作者: Richard A. Johnson / Dean W. Wichern
出版社: Pearson
出版年: 2007-4-2
评语：All of Statistics: reference for multivariate analysis
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An Introduction to Generalized Linear Models (2/e)
(4人评价)
作者: Annette J. Dobson / Annette .J. Dobson
出版社: Chapman & Hall/CRC
出版年: 2001-11-28
评语：All of Statistics: Reference for logistic regression
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Categorical Data Analysis
8.9 (25人评价)
作者: Alan Agresti
出版社: Wiley-Interscience
出版年: 2002-7-22
评语：All of Statistics: Reference for logistic regression
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The Elements of Statistical Learning
9.4 (804人评价)
作者: Trevor Hastie / Robert Tibshirani / Jerome Friedman
出版社: Springer
出版年: 2016-1-1
评语：All of Statistics: a data-mining view of regression
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Applied Linear Regression
8.3 (23人评价)
作者: Sanford Weisberg
出版社: Wiley
出版年: 2005-2-11
评语：All of Statistics: a succinct book on linear regression
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Mathematical statistics
(1人评价)
作者: Thomas Shelburne Ferguson
出版社: Academic Press
出版年: 1967
评语：All of Statistics: Decision Theory
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Statistical Decision Theory and Bayesian Analysis
9.3 (29人评价)
作者: James O. Berger
出版社: Springer
出版年: 1993-3-25
评语：All of Statistics: Decision Theory
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Theory of Statistics
(4人评价)
作者: Mark J. Schervish
出版社: Springer
出版年: 1996-12-13
评语：All of Statistics:Bayesian inference
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