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Titlebook: Breakthroughs in Statistics; Samuel Kotz,Norman L. Johnson Book 1997 Springer Science+Business Media New York 1997 algorithms.boundary ele

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发表于 2025-3-21 18:27:23 | 显示全部楼层 |阅读模式
期刊全称Breakthroughs in Statistics
影响因子2023Samuel Kotz,Norman L. Johnson
视频video
发行地址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 fundament
学科分类Springer Series in Statistics
图书封面Titlebook: Breakthroughs in Statistics;  Samuel Kotz,Norman L. Johnson Book 1997 Springer Science+Business Media New York 1997 algorithms.boundary ele
影响因子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
Pindex Book 1997
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发表于 2025-3-21 21:56:04 | 显示全部楼层
, Lindley and Smith (1972) Bayes Estimates for the Linear Model,ealistic and solvable. It was also the case the Bayesian modeling did not find general acceptance unless it could be shown that such models had desirable frequentist properties. Thus, when viewed in this context, this contribution by Lindley and Smith (hereafter LS) must surely qualify for the accolade, “breakthrough.”
发表于 2025-3-22 02:09:28 | 显示全部楼层
, Besag (1974) Spatial Interaction and the Statistical Analysis of Lattice Systems, and Green (1993); Besag et al. (1995)]. His first major paper, however, laid out the foundations for statistical inference in lattice systems, and so provided the background for much later work, both his own and that of many others.
发表于 2025-3-22 08:23:39 | 显示全部楼层
, Aalen (1978) Nonparametric Inference for a Family of Counting Processes,wing the insertion of an IUD, as this was a model that Hoem had found useful in other contexts. The need to fit such models non-parametrically started Aalen thinking about the approach that he was to develop fully in his ground-breaking 1978 paper that is reprinted here.
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发表于 2025-3-22 16:47:02 | 显示全部楼层
Making Urban Transport Sustainableand a . of order .. which leads to a very accurate approximation in small sample sizes and in the tails of the distribution. The fundamental ideas contained in Daniels’s paper carry over to complex situations and the characteristics of his approximation remain valid in a large variety of problems.
发表于 2025-3-22 18:14:53 | 显示全部楼层
Pauline Alderson,Martin Rowlandolis and his collaborators considered exclusively the case where . is the equilibrium distribution of some physical system in statistical mechanics, Hastings considered general π and provided a far-reaching generalization of Metropolis’s method and subsequent variants thereof in the statistical mechanics literature.
发表于 2025-3-22 23:22:47 | 显示全部楼层
, Cornfield (1951) A Method of Estimating Comparative Rates from Clinical Data. Applications to Canreas the risk difference is only 0.0009. The relative risk is often used in etiologic research aimed at identifying potential causal risk factors, while risk differences are mainly used to estimate the impact of an exposure on population disease burden.
发表于 2025-3-23 01:51:39 | 显示全部楼层
发表于 2025-3-23 09:33:41 | 显示全部楼层
, Hastings (1970) Monte Carlo Sampling Methods Using Markov Chains and Their Applications,olis and his collaborators considered exclusively the case where . is the equilibrium distribution of some physical system in statistical mechanics, Hastings considered general π and provided a far-reaching generalization of Metropolis’s method and subsequent variants thereof in the statistical mechanics literature.
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