The Foundations of Statistics

The Foundations of Statistics
Author: Leonard J. Savage
Publisher: Courier Corporation
Total Pages: 341
Release: 2012-08-29
Genre: Mathematics
ISBN: 0486137104

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Classic analysis of the foundations of statistics and development of personal probability, one of the greatest controversies in modern statistical thought. Revised edition. Calculus, probability, statistics, and Boolean algebra are recommended.


The Foundations of Statistics
Language: en
Pages: 341
Authors: Leonard J. Savage
Categories: Mathematics
Type: BOOK - Published: 2012-08-29 - Publisher: Courier Corporation

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Classic analysis of the foundations of statistics and development of personal probability, one of the greatest controversies in modern statistical thought. Revi
Foundations of Statistics
Language: en
Pages: 564
Authors: D.G. Rees
Categories: Mathematics
Type: BOOK - Published: 1987-09-01 - Publisher: CRC Press

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This text provides a through, straightforward first course on basics statistics. Emphasizing the application of theory, it contains 200 fully worked examples an
Foundations and Applications of Statistics
Language: en
Pages: 820
Authors: Randall Pruim
Categories: Mathematical statistics
Type: BOOK - Published: 2018-04-04 - Publisher: American Mathematical Soc.

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Foundations and Applications of Statistics simultaneously emphasizes both the foundational and the computational aspects of modern statistics. Engaging and acce
The Foundations of Statistics: A Simulation-based Approach
Language: en
Pages: 187
Authors: Shravan Vasishth
Categories: Mathematics
Type: BOOK - Published: 2010-11-11 - Publisher: Springer Science & Business Media

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Statistics and hypothesis testing are routinely used in areas (such as linguistics) that are traditionally not mathematically intensive. In such fields, when fa
Statistical Foundations of Data Science
Language: en
Pages: 752
Authors: Jianqing Fan
Categories: Mathematics
Type: BOOK - Published: 2020-09-21 - Publisher: CRC Press

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Statistical Foundations of Data Science gives a thorough introduction to commonly used statistical models, contemporary statistical machine learning techniques