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Breakthroughs in Statistics de Samuel Kotz

Breakthroughs in Statistics: Springer Series in Statistics

Editat de Samuel Kotz, Norman L. Johnson
en Limba Engleză Paperback – 7 aug 1997
This is author-approved bcc: This is the third volume of a collection of seminal papers in the statistical sciences 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 concerntrates on articles from the 1980's while including some earlier articles not included in Volume 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. ISBN 0-387-94037-5 Breakthroughs in Statistics Volume II: Methodology and Distribution Samuel Kotz and Norman L. Johnson, Editors 1993. 600 pp. Softcover. ISBN 0-387-94039-1
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Specificații

ISBN-13: 9780387949895
ISBN-10: 0387949895
Pagini: 561
Ilustrații: XXV, 561 p.
Dimensiuni: 155 x 235 x 31 mm
Greutate: 0.82 kg
Ediția:1997
Editura: Springer
Colecția Springer
Seria Springer Series in Statistics

Locul publicării:New York, NY, United States

Public țintă

Research

Cuprins

of Volume III.- • Introduction by R. E. Fancher.- Galton, F.(1889). Co-Relations and Their Measurement, Chiefly from Anthropometric Data.- • Introduction by K. Dietz.- McKendrick, A.G. (1926). Applications of Mathematics to Medical Problems.- • Introduction by D.R. Cox.- Yates, F. and Cochran, W.G. (1938). The Analysis of Groups of Experiments.- • Introduction by P.K. Sen.- Rao, C.R. (1948). Large Sample Tests of Statistical Hypotheses Concerning Several Parameters with Applications to Problems of Estimation.- • Introduction by M. H. Gail.- Cornfield, J. (1951). A Method of Estimating Comparative Rates from Clinical Data. Applications to Cancer of the Lung, Breast, and Cervix.- • Introduction by P.J. Huber.- Metropolis, N., Rosenbluth, A.W., Rosenbiuth, M.N., Teller, A.H., and Teller, E. (1953). Equation of State Calculations by Fast Computing Machines and Geman, S. and Geman, D. (1984). Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images.- • Introduction by M. Calder and R. A. Davis.- Whittle, P. (1953). The Analysis of Multiple Stationary Time Series.- • Introduction by E. Ronchetti.- Daniels, H.E. (1954). Saddlepoint Approximations in Statistics.- • Introduction by I.J. Good.- Cooley, J.W. and Tukey, J.W. (1965). An Algorithm for the Machine Calculation of Complex Fourier Series.- • Introduction by R.J. Reran.- Hájek, J. (1970). A Characterization of Limiting Distributions of Regular Estimates.- • Introduction by T.L. Lai.- Hastings, W.K. (1970). Monte Carlo Sampling Methods Using Markov Chains and Their Applications.- • Introduction by J.J. Deely.- Lindley, D.V. and Smith, A.F.M. (1972). Bayes Estimates for the Linear Model.- • Introduction by R.L. Smith.- Besag, J. (1974). Spatial Interaction and theStatistical Analysis of Lattice Systems.- • Introduction by J.F. Pfanzagl.- Levit, B.Ya. (1974). On Optimality of Some Statistical Estimates.- • Introduction by I. W. McKeague.- Aalen, O. (1978). Nonparametric Estimation of Partial Transition Probabilities in Multiple Decrement Models.- • Introduction by G. G. Letac.- Morris, C.N. (1982). Natural Exponential Families with Quadratic Variance Functions.- • Introduction by T. DiCiccio.- Barndorff-Nielsen, O.E. (1983). On a Formula for the Distribution of the Maximum Likelihood Estimator.- • Introduction by D. G. Simpson.- Rousseeuw, P.J. (1984). Least Median of Squares Regression.- • Introduction by P.J. Dig gle.- Liang, K.-Y. and Zeger, S.L. (1986). Longitudinal Data Analysis Using Generalized Linear Models.- • Introduction by E. Mammen.- Hall, P. (1988). Theoretical Comparison of Bootstrap Confidence Intervals.- • Introduction by D. M. Titterington.- Gelfand, A.E. and Smith, A.F.M. (1990). Sampling-Based Approaches to Calculating Marginal Densities.

Caracteristici

The articles were carefully chosen by many of todays leading statisticians, who have also written an introduction and commentary on its impact - All articles that are included have initiated fundamental changes in statistical methodology - Previous volumes were very well received by the community

Recenzii

"It may be risky to recommend that everyone should own this book... but I take that risk. Not only should we have it in our personal libraries, but we should loan it to our students. They will use it the same way we do, beginning with the famous masterpieces, then reading introductions of works they may not have seen before, and finally reading the papers..." (Journal of the Am. Statistical Assoc.)