Breakthroughs in Statistics

By: Norman L. Johnson (Editor), Samuel Kotz (Editor)

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592 Pages

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This is author-approved bcc: This is the third volume of a collection of seminal papers in the statistical science written during the past 110 years. These papers have each had an outstanding influence on the development of statistical theory and practice over the last century. Each paper is preceded by an introduction written by an authority in the field providing background information and assessing its influence. Volume III concertrates on articles from the 1980's while including some earlier articles not included in Volumes I and II. Samuel Kotz is Professor of Statistics in the College of Business and Management at the University of Maryland. Norman L. Johnson is Professor Emeritus of Statistics at the University of North Carolina. Also available: Breakthroughs in Statistics Volume I: Foundations and Basic Theory Samuel Kotz and Norman L. Johnson, Editors 1993. 631 pp. Softcover. 0-387-94037-5 Breakthroughs in Statistics Volume II: Methodology and Distribution Samuel Kotz and Norman L. Johnson, Editors 1993. 600 pp. Softcover. 0-387-94039-1

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Introduction
Co-relations and their measurement, chiefly from anthropometric data
Introduction
Applications of mathematics to medical problems
Introduction
The analysis of groups of experiments
Introduction
Large sample tests of statistical hypotheses concerning several parameters with application to problems of estimation
Introduction
A method of estimating comparative rates from clinical data. Applications to cancer of the lung, breast and cervix
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The analysis of multiple stationary time series
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Saddlepoint approximations in statistics
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An algorithm for the machine calculation of complex Fourier series
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A characterization of limiting distributions of regular estimates
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Monte Carlo sampling methods using Markov chains and their applications
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Bayes estimates for the linear model
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Spatial interaction and the statistical analysis of lattice systems
Introduction
On optimality of some statistical estimates
Introduction
Nonparametric estimation of partial transition probabilities in multiple decrement models
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Natural exponential families with quadratic variance functions
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On a formula for the distribution of the maximum likelihood estimator
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Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images
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Least median of squares regressions
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Longitudinal data analysis using generalized linear models
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Theoretical comparison of bootstrap confidence intervals
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Sampling-based approaches to calculating marginal densities
Table of Contents provided by Publisher. All Rights Reserved.

Breakthroughs in Statistics

At a Glance

Hardcover

Shipping

How to return your order

Defective items

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