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

Flexible

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眼界

, 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.”

和平主義者

, 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.

愉快嗎

, 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.

物種起源

Keratectomy

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.

技術(shù)

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.

無表情

, 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.

right-atrium

捏造

, 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.