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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
Attention for Chapter 15: Introduction to Aalen (1978) Nonparametric Inference for a Family of Counting Processes
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Chapter title
Introduction to Aalen (1978) Nonparametric Inference for a Family of Counting Processes
Chapter number 15
Book title
Breakthroughs in Statistics
Published by
Springer, New York, NY, January 1997
DOI 10.1007/978-1-4612-0667-5_15
Book ISBNs
978-0-387-94989-5, 978-1-4612-0667-5
Authors

Ian W. McKeague, McKeague, Ian W.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 50%
Student > Master 1 50%
Readers by discipline Count As %
Mathematics 1 50%
Engineering 1 50%