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Breakthroughs in Statistics

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Cover of 'Breakthroughs in Statistics'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Fisher (1922) On the Mathematical Foundations of Theoretical Statistics
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    Chapter 2 On the Mathematical Foundations of Theoretical Statistics
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    Chapter 3 Introduction to Hotelling (1931) The Generalization of Student’s Ratio
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    Chapter 4 The Generalization of Student’s Ratio
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    Chapter 5 Introduction to Neyman and Pearson (1933) On the Problem of the Most Efficient Tests of Statistical Hypotheses
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    Chapter 6 On the Problem of the Most Efficient Tests of Statistical Hypotheses
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    Chapter 7 Introduction to Bartlett (1937) Properties of Sufficiency and Statistical Tests
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    Chapter 8 Properties of Sufficiency and Statistical Tests
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    Chapter 9 Introduction to de Finetti (1937) Foresight: Its Logical Laws, Its Subjective Sources
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    Chapter 10 Foresight: Its Logical Laws, Its Subjective Sources
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    Chapter 11 Introduction to Cramér (1942) On Harmonic Analysis in Certain Functional Spaces
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    Chapter 12 On Harmonic Analysis in Certain Functional Spaces
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    Chapter 13 Introduction to Gnedenko (1943) On the Limiting Distribution of the Maximum Term in a Random Series
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    Chapter 14 On the Limiting Distribution of the Maximum Term in a Random Series
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    Chapter 15 Introduction to Rao (1945) Information and the Accuracy Attainable in the Estimation of Statistical Parameters
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    Chapter 16 Information and the Accuracy Attainable in the Estimation of Statistical Parameters
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    Chapter 17 Introduction to Wald (1945) Sequential Tests of Statistical Hypotheses
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    Chapter 18 Sequential Tests of Statistical Hypotheses
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    Chapter 19 Introduction to Hoeffding (1948) A Class of Statistics with Asymptotically Normal Distribution
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    Chapter 20 A Class of Statistics with Asymptotically Normal Distribution
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    Chapter 21 Introduction to Wald (1949) Statistical Decision Functions
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    Chapter 22 Statistical Decision Functions
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    Chapter 23 Introduction to Good (1952) Rational Decisions
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    Chapter 24 Rational Decisions
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    Chapter 25 Introduction to Robbins (1955) An Empirical Bayes Approach to Statistics
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    Chapter 26 An Empirical Bayes Approach to Statistics
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    Chapter 27 Introduction to Kiefer (1959) Optimum Experimental Designs
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    Chapter 28 Optimum Experimental Designs
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    Chapter 29 Introduction to James and Stein (1961) Estimation with Quadratic Loss
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    Chapter 30 Estimation with Quadratic Loss
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    Chapter 31 Introduction to Birnbaum (1962) On the Foundations of Statistical Inference
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    Chapter 32 On the Foundations of Statistical Inference
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    Chapter 33 Introduction to Edwards, Lindman, and Savage (1963) Bayesian Statistical Inference for Psychological Research
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    Chapter 34 Bayesian Statistical Inference for Psychological Research
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    Chapter 35 Introduction to Fraser (1966) Structural Probability and a Generalization
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    Chapter 36 Structural Probability and a Generalization
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    Chapter 37 Introduction to Akaike (1973) Information Theory and an Extension of the Maximum Likelihood Principle
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    Chapter 38 Information Theory and an Extension of the Maximum Likelihood Principle
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Title
Breakthroughs in Statistics
Published by
Springer New York, December 2012
DOI 10.1007/978-1-4612-0919-5
ISBNs
978-0-387-94037-3, 978-1-4612-0919-5
Editors

Kotz, Samuel, Johnson, Norman L.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 25%
Lecturer > Senior Lecturer 1 25%
Student > Master 1 25%
Unknown 1 25%
Readers by discipline Count As %
Economics, Econometrics and Finance 2 50%
Agricultural and Biological Sciences 1 25%
Unknown 1 25%