Booklist: probability and statistics - Revision history

Datacraftsnet at 17:02, 7 June 2014

2014-06-07T17:02:13Z

Datacraftsnet: Datacraftsnet moved page Data science study book list to Booklist: probability and statistics

2014-06-07T16:53:55Z

Datacraftsnet moved page Data science study book list to Booklist: probability and statistics

Datacraftsnet at 02:10, 6 June 2014

2014-06-06T02:10:45Z

Datacraftsnet: Protected "Data science study book list": Excessive spamming (‎[move=sysop] (indefinite))

2014-06-06T01:10:27Z

Protected "Data science study book list": Excessive spamming (‎[move=sysop] (indefinite))

Datacraftsnet at 03:50, 14 March 2014

2014-03-14T03:50:04Z

Datacraftsnet at 03:49, 14 March 2014

2014-03-14T03:49:42Z

Datacraftsnet at 03:07, 14 March 2014

2014-03-14T03:07:36Z

Datacraftsnet at 03:04, 14 March 2014

2014-03-14T03:04:35Z

Datacraftsnet: Created page with "# D. Huff, How to Lie with Statistics. # Mood, Graybill, and Boes, Introduction to the Theory of Statistics, 3rd ed., 1974. # Seber & Lee, Linear Regression Analysis,..."

2014-03-14T03:04:22Z

Created page with "# D. Huff, *How to Lie with Statistics*. # Mood, Graybill, and Boes, *Introduction to the Theory of Statistics*, 3rd ed., 1974. # Seber & Lee, *Linear Regression Analysis*,..."

New page

# D. Huff, *How to Lie with Statistics*.

# Mood, Graybill, and Boes, *Introduction to the Theory of Statistics*, 3rd ed., 1974.

# Seber & Lee, *Linear Regression Analysis*, 2nd ed.

# Hastie, Tibshirani, and Friedman, *Elements of Statistical Learning*, 2nd ed., 2009.

# A. Agresti, *Categorical Data Analysis*, 2nd ed.

# Boyd & Vandenberghe, *Convex Optimization*.

# Efron & Tibshirani, *An Introduction to the Bootstrap*.

# J. Liu, *Monte Carlo Strategies in Scientific Computing* or P. Glasserman, *Monte Carlo Methods in Financial Engineering*.

# E. Tufte, *The Visual Display of Quantitative Information*.

# J. Tukey, *Exploratory Data Analysis*.

# F. A. Graybill, *Theory and Application of the Linear Model*.

# F. A. Graybill, *Matrices with Applications in Statistics*.

# Devroye, Gyorfi, and Lugosi, *A Probabilistic Theory of Pattern Recognition*.

# Brockwell & Davis, *Time Series: Theory and Methods*.

# Motwani and Raghavan, *Randomized Algorithms*.

# D. Williams, *Probability and Martingales* and/or R. Durrett, *Probability: Theory and Examples*.

# F. Harrell, *Regression Modeling Strategies*.

# Lehman and Casella, *Theory of Point Estimation*.

# Lehmann and Romano, *Testing Statistical Hypotheses*.

# A. van der Vaart, *Asymptotic Statistics*.

@@ Line 1: / Line 1: @@
 # D. Huff, ''How to Lie with Statistics''.
 # Mood, Graybill, and Boes, ''Introduction to the Theory of Statistics'', 3rd ed., 1974.
@@ Line 26: / Line 24: @@
 * Original author: [[User:Datacraftsnet]]
 [[Category:BookList]]

@@ Line 22: / Line 22: @@
 # Lehmann and Romano, ''Testing Statistical Hypotheses''.
 # A. van der Vaart, ''Asymptotic Statistics''.
 [[Category:BookList]]

@@ Line 1: / Line 1: @@
 Book list distilled from [http://stats.stackexchange.com/questions/6538/mathematician-wants-the-equivalent-knowledge-to-a-quality-stats-degree stats.stackexchange.com thread].
-# D. Huff, '''How to Lie with Statistics'''.
+# D. Huff, ''How to Lie with Statistics''.
-# Mood, Graybill, and Boes, '''Introduction to the Theory of Statistics''', 3rd ed., 1974.
+# Mood, Graybill, and Boes, ''Introduction to the Theory of Statistics'', 3rd ed., 1974.
-# Seber & Lee, '''Linear Regression Analysis''', 2nd ed.
+# Seber & Lee, ''Linear Regression Analysis'', 2nd ed.
-# Hastie, Tibshirani, and Friedman, '''Elements of Statistical Learning''', 2nd ed., 2009.
+# Hastie, Tibshirani, and Friedman, ''Elements of Statistical Learning'', 2nd ed., 2009.
-# A. Agresti, '''Categorical Data Analysis''', 2nd ed.
+# A. Agresti, ''Categorical Data Analysis'', 2nd ed.
-# Boyd & Vandenberghe, '''Convex Optimization'''.
+# Boyd & Vandenberghe, ''Convex Optimization''.
-# Efron & Tibshirani, '''An Introduction to the Bootstrap'''.
+# Efron & Tibshirani, ''An Introduction to the Bootstrap''.
-# J. Liu, '''Monte Carlo Strategies in Scientific Computing''' or P. Glasserman, '''Monte Carlo Methods in Financial Engineering'''.
+# J. Liu, ''Monte Carlo Strategies in Scientific Computing'' or P. Glasserman, ''Monte Carlo Methods in Financial Engineering''.
-# E. Tufte, '''The Visual Display of Quantitative Information'''.
+# E. Tufte, ''The Visual Display of Quantitative Information''.
-# J. Tukey, '''Exploratory Data Analysis'''.
+# J. Tukey, ''Exploratory Data Analysis''.
-# F. A. Graybill, '''Theory and Application of the Linear Model'''.
+# F. A. Graybill, ''Theory and Application of the Linear Model''.
-# F. A. Graybill, '''Matrices with Applications in Statistics'''.
+# F. A. Graybill, ''Matrices with Applications in Statistics''.
-# Devroye, Gyorfi, and Lugosi, '''A Probabilistic Theory of Pattern Recognition'''.
+# Devroye, Gyorfi, and Lugosi, ''A Probabilistic Theory of Pattern Recognition''.
-# Brockwell & Davis, '''Time Series: Theory and Methods'''.
+# Brockwell & Davis, ''Time Series: Theory and Methods''.
-# Motwani and Raghavan, '''Randomized Algorithms'''.
+# Motwani and Raghavan, ''Randomized Algorithms''.
-# D. Williams, '''Probability and Martingales'''
+# D. Williams, ''Probability and Martingales''
-# R. Durrett, '''Probability: Theory and Examples'''.
+# R. Durrett, ''Probability: Theory and Examples''.
-# F. Harrell, '''Regression Modeling Strategies'''.
+# F. Harrell, ''Regression Modeling Strategies''.
-# Lehman and Casella, '''Theory of Point Estimation'''.
+# Lehman and Casella, ''Theory of Point Estimation''.
-# Lehmann and Romano, '''Testing Statistical Hypotheses'''.
+# Lehmann and Romano, ''Testing Statistical Hypotheses''.
-# A. van der Vaart, '''Asymptotic Statistics'''.
+# A. van der Vaart, ''Asymptotic Statistics''.
 [[Category:BookList]]

@@ Line 1: / Line 1: @@
 Book list distilled from [http://stats.stackexchange.com/questions/6538/mathematician-wants-the-equivalent-knowledge-to-a-quality-stats-degree stats.stackexchange.com thread].
-# D. Huff, *How to Lie with Statistics*.
+# D. Huff, '''How to Lie with Statistics'''.
+# Mood, Graybill, and Boes, '''Introduction to the Theory of Statistics''', 3rd ed., 1974.
-# Mood, Graybill, and Boes, *Introduction to the Theory of Statistics*, 3rd ed., 1974.
+# Seber & Lee, '''Linear Regression Analysis''', 2nd ed.
+# Hastie, Tibshirani, and Friedman, '''Elements of Statistical Learning''', 2nd ed., 2009.
-# Seber & Lee, *Linear Regression Analysis*, 2nd ed.
+# A. Agresti, '''Categorical Data Analysis''', 2nd ed.
+# Boyd & Vandenberghe, '''Convex Optimization'''.
-# Hastie, Tibshirani, and Friedman, *Elements of Statistical Learning*, 2nd ed., 2009.
+# Efron & Tibshirani, '''An Introduction to the Bootstrap'''.
+# J. Liu, '''Monte Carlo Strategies in Scientific Computing''' or P. Glasserman, '''Monte Carlo Methods in Financial Engineering'''.
-# A. Agresti, *Categorical Data Analysis*, 2nd ed.
+# E. Tufte, '''The Visual Display of Quantitative Information'''.
+# J. Tukey, '''Exploratory Data Analysis'''.
-# Boyd & Vandenberghe, *Convex Optimization*.
+# F. A. Graybill, '''Theory and Application of the Linear Model'''.
+# F. A. Graybill, '''Matrices with Applications in Statistics'''.
-# Efron & Tibshirani, *An Introduction to the Bootstrap*.
+# Devroye, Gyorfi, and Lugosi, '''A Probabilistic Theory of Pattern Recognition'''.
+# Brockwell & Davis, '''Time Series: Theory and Methods'''.
-# J. Liu, *Monte Carlo Strategies in Scientific Computing* or P. Glasserman, *Monte Carlo Methods in Financial Engineering*.
+# Motwani and Raghavan, '''Randomized Algorithms'''.
+# D. Williams, '''Probability and Martingales'''
-# E. Tufte, *The Visual Display of Quantitative Information*.
+# R. Durrett, '''Probability: Theory and Examples'''.
+# F. Harrell, '''Regression Modeling Strategies'''.
-# J. Tukey, *Exploratory Data Analysis*.
+# Lehman and Casella, '''Theory of Point Estimation'''.
+# Lehmann and Romano, '''Testing Statistical Hypotheses'''.
+# A. van der Vaart, '''Asymptotic Statistics'''.
-−
-# F. A. Graybill, *Theory and Application of the Linear Model*.
-−
-# F. A. Graybill, *Matrices with Applications in Statistics*.
-−
-# Devroye, Gyorfi, and Lugosi, *A Probabilistic Theory of Pattern Recognition*.
-−
-# Brockwell & Davis, *Time Series: Theory and Methods*.
-−
-# Motwani and Raghavan, *Randomized Algorithms*.
-−
-# D. Williams, *Probability and Martingales* and/or R. Durrett, *Probability: Theory and Examples*.
-−
-# F. Harrell, *Regression Modeling Strategies*.
-−
-−
-−
-# Lehman and Casella, *Theory of Point Estimation*.
-−
-# Lehmann and Romano, *Testing Statistical Hypotheses*.
-−
-# A. van der Vaart, *Asymptotic Statistics*.
 [[Category:BookList]]

← Older revision		Revision as of 03:07, 14 March 2014
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		+	Book list distilled from [http://stats.stackexchange.com/questions/6538/mathematician-wants-the-equivalent-knowledge-to-a-quality-stats-degree stats.stackexchange.com thread].
		+
	# D. Huff, How to Lie with Statistics.		# D. Huff, How to Lie with Statistics.

← Older revision	Revision as of 16:53, 7 June 2014
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← Older revision	Revision as of 01:10, 6 June 2014
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← Older revision		Revision as of 03:04, 14 March 2014
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	# A. van der Vaart, Asymptotic Statistics.		# A. van der Vaart, Asymptotic Statistics.
		+
		+	[[Category:BookList]]