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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 Galton (1889) Co-Relations and Their Measurement, Chiefly from Anthropometric Data
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    Chapter 2 Introduction to McKendrick (1926) Applications of Mathematics to Medical Problems
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    Chapter 3 Introduction to Yates and Cochran (1938) The Analysis of Groups of Experiments
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    Chapter 4 Introduction to Rao (1948) Large Sample Tests of Statistical Hypotheses Concerning Several Parameters with Applications to Problems of Estimation
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    Chapter 5 Introduction to Cornfield (1951) A Method of Estimating Comparative Rates from Clinical Data. Applications to Cancer of the Lung, Breast, and Cervix
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    Chapter 6 Introduction to Metropolis, Rosenbluth, Rosenbluth, Teller, and Teller (1953) Equations of State Calculations by Fast Computing Machines. J. Chem. Phys .,21, 1087–1092. and Geman and Geman (1984) Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images. IEEE Trans. Pattern Anal. Machine Intelligence ,6, 721–741.
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    Chapter 7 Introduction to Whittle (1953) The Analysis of Multiple Stationary Time Series
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    Chapter 8 Introduction to Daniels (1954) Saddlepoint Approximations in Statistics
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    Chapter 9 Introduction to Cooley and Tukey (1965) An Algorithm for the Machine Calculation of Complex Fourier Series
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    Chapter 10 Introduction to Hájek (1970) A Characterization of Limiting Distributions of Regular Estimates
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    Chapter 11 Introduction to Hastings (1970) Monte Carlo Sampling Methods Using Markov Chains and Their Applications
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    Chapter 12 Introduction to Lindley and Smith (1972) Bayes Estimates for the Linear Model
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    Chapter 13 Introduction to Besag (1974) Spatial Interaction and the Statistical Analysis of Lattice Systems
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    Chapter 14 Introduction to Levit (1974) On the Optimality of Some Statistical Estimates
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    Chapter 15 Introduction to Aalen (1978) Nonparametric Inference for a Family of Counting Processes
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    Chapter 16 Introduction to Morris (1982) Natural Exponential Families with Quadratic Variance Functions
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    Chapter 17 Introduction to Barndorff-Nielsen (1983) On a Formula for the Distribution of the Maximum Likelihood Estimator
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    Chapter 18 Introduction to Rousseeuw (1984) Least Median of Squares Regression
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    Chapter 19 Introduction to Liang and Zeger (1986) Longitudinal Data Analysis Using Generalized Linear Models
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    Chapter 20 Introduction to Hall (1988) Theoretical Comparison of Bootstrap Confidence Intervals
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    Chapter 21 Introduction to Gelfand and Smith (1990) Sampling-Based Approaches to Calculating Marginal Densities
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Mentioned by

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Title
Breakthroughs in Statistics
Published by
Springer New York, December 2013
DOI 10.1007/978-1-4612-0667-5
ISBNs
978-1-4612-0667-5, 978-0-387-94989-5
Editors

Kotz, Samuel, Johnson, Norman L.

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X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
Singapore 1 1%
Slovakia 1 1%
Brazil 1 1%
Unknown 65 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 28%
Researcher 10 14%
Student > Master 9 13%
Student > Bachelor 6 9%
Professor 6 9%
Other 13 19%
Unknown 6 9%
Readers by discipline Count As %
Mathematics 13 19%
Agricultural and Biological Sciences 11 16%
Engineering 8 12%
Computer Science 7 10%
Economics, Econometrics and Finance 7 10%
Other 16 23%
Unknown 7 10%