Breakthroughs in Statistics

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.

Klappentext

Volume III includes more selections of articles that have initiated fundamental changes in statistical methodology. It contains articles published before 1980 that were overlooked in the previous two volumes plus articles from the 1980's - all of them chosen after consulting many of today's leading statisticians.

Zusammenfassung
This is a third in a series of reprints of classic articles in statistics with original introductions by many leading researchers. These volumes are useful references for graduate students and researchers in statistics.

Inhalt

1. Introduction by R.E.Fancher: Galton,F. (1889) Co-relations and their measurement, chiefly from anthropometric data; 2. Introduction by K. Dietz: McKendrick, A.G.(1926) Applications of mathematics to medical problems; 3.Introduction by D.R. Cox: Yates, F.and Cochran, W.G.(1938) The analysis of groups of experiments; 4. Introduction by P.K. Sen: Rao, C.R.(1948) Large sample tests of statistical hypotheses concerning several parameters with application to problems of estimation; 5. 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; 6. Introduction by M. Calder and R.A. Davis: Whittle, P.(1953) The analysis of multiple stationary time series; 7. Introduction by E. Ronchetti: Daniels, H.E.(1954) Saddlepoint approximations in statistics; 8. Introduction by I.J. Good: Cooley, J.W. and Turkey, J.W.(1965) An algorithm for the machine calculation of complex Fourier series; 9. Introduction by R.J. Beran: Hajek, J.(1970) A characterization of limiting distributions of regular estimates; 10. Introduction by T.L. Lai: Hastings, W.K.(1970) Monte Carlo sampling methods using Markov chains and their applications; 11. Introduction by J.J. Deely: Lindley, D.V.and Smith, A.F.M.(1972) Bayes estimates for the linear model; 12. Introduction by R.L. Smith: Besag, J.(1974) Spatial interaction and the statistical analysis of lattice systems; 13. Introduction by J.F. Pfanzagl: Levit, B.Ya.(1974) On optimality of some statistical estimates; 14. Introduction by I.W. McKeague: Aalen, O.(1978) Nonparametric estimation of partial transition probabilities in multiple decrement models; 15. Introduction by G.G. Letac: Morris, C.N.(1982) Natural exponential families with quadratic variance functions; 16. Introduction by T.H. DiCiccio: Barndorff-Nielsen, O.E.(1983) On a formula for the distribution of the maximum likelihood estimator; 17. Introduction by P.J. Huber: Geman, S. and Geman, D.(1984) Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images; 18. Introduction by D.G. Simpson: Rousseeuw, P.J.(1984) Least median of squares regressions; 19. Introduction by P.J. Diggle. Liang, K.Y.and Zeger, S.L.(1986) Longitudinal data analysis using generalized linear models; 20. Introduction by E. Mammen. Hall, P.(1988) Theoretical comparison of bootstrap confidence intervals; 21. Introduction by D.M. Timerington: Gelfand, A.E.and Smith, A.F.M.(1990) Sampling-based approaches to calculating marginal densities.