Statistics

The study of the collection, analysis, interpretation, presentation, and organization of data.

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Books under this sub-category (50 books)

The Elements of Statistical Learning: Data Mining, Inference, and Prediction.

Post date: 08 Apr 2016
This book descibes the important ideas of data mining, machine learning, and bioinformatics in a common conceptual framework. Topics include neural networks, support vector machines, classification trees and boosting.
Publisher: Springer-Verlag GmbH
Publication date: 01 Dec 2015
Document Type: Textbook
 
The Elements of Statistical Learning: Data Mining, Inference, and Prediction.

The Elements of Statistical Learning: Data Mining, Inference, and Prediction.

Post date: 08 Apr 2016
This book descibes the important ideas of data mining, machine learning, and bioinformatics in a common conceptual framework. Topics include neural networks, support vector machines, classification trees and boosting.
Publisher: Springer-Verlag GmbH
Publication date: 01 Dec 2015
Document Type: Textbook


The Probability and Statistics Cookbook

Post date: 13 May 2016
This cookbook is a succinct representation of various topics in probability theory and statistics. It provides a comprehensive mathematical reference reduced to its essence, rather than aiming for elaborate explanations.
 
The Probability and Statistics Cookbook

The Probability and Statistics Cookbook

Post date: 13 May 2016
This cookbook is a succinct representation of various topics in probability theory and statistics. It provides a comprehensive mathematical reference reduced to its essence, rather than aiming for elaborate explanations.

Theory of Statistics

Post date: 22 Jun 2017
This document originated from lecture notes of mathematical statistics course taught at George Mason University. Students should be able to work through the details of "hard" proofs and derivations.
Publication date: 12 Nov 2013
License: Standard Copyright License
Document Type: Textbook
 
Theory of Statistics

Theory of Statistics

Post date: 22 Jun 2017
This document originated from lecture notes of mathematical statistics course taught at George Mason University. Students should be able to work through the details of "hard" proofs and derivations.
Publication date: 12 Nov 2013
License: Standard Copyright License Document Type: Textbook


Think Bayes: Bayesian Statistics in Python

Post date: 01 Apr 2016
An introduction to Bayesian statistics using simple Python programs instead of complicated math.
 
Think Bayes: Bayesian Statistics in Python

Think Bayes: Bayesian Statistics in Python

Post date: 01 Apr 2016
An introduction to Bayesian statistics using simple Python programs instead of complicated math.

Think Stats: Probability and Statistics for Programmers

Post date: 01 Apr 2016
An introduction to Probability and Statistics for Python programmers.
 
Think Stats: Probability and Statistics for Programmers

Think Stats: Probability and Statistics for Programmers

Post date: 01 Apr 2016
An introduction to Probability and Statistics for Python programmers.

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