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Maximum Likelihood Estimation for Two-Parameter Decreasing Hazard Rate Distributions Using Censored Data

删失数据下双参数递减风险率分布的极大似然估计

Problems of maximum likelihood estimation are discussed for shape and scale parameters from certain decreasing hazard rate distributions, typically either mixed-exponential or “work-hardened.” Sufficient conditions on the mixing distribution are given that guarantee regular behavior of the hazard rate and that ensure, even with highly censored data, that the MLE's exist from such DHR distributions whenever the sample satisfies a certain condition; otherwise a constant hazard…

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On Distribution-Free Rank Tests for Two-Way Layouts

双因素设计中的分布无关秩检验

A class of distribution-free statistics using scores based on ranks for testing main effects in two-way layouts, with no interactions and more than one observation per cell, is discussed. Asymptotic distributions are developed under the null and alternative hypotheses for the case in which cell size is fixed and the number of blocks is allowed to become large, and as cell size becomes large with the number of blocks fixed. Efficiencies are considered under both asymptotic…

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General Variance Modifications for Linear Bayes Estimators

线性贝叶斯估计量的一般方差修正

We consider the problem of modifying the linear Bayes estimator for the mean of a distribution of unknown form by using an estimate of sample variance. The general conditions under which there is no advantageous variance modification to the linear Bayes rule are identified. These results are applied to the problem of sampling from a normal distribution with unknown mean and variance, and the implications are discussed.

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User-Oriented Inference

面向使用者的统计推断

A class of inferential procedures (called user-oriented procedures) related to the equal probability test of Arrow (1960) is introduced for use in many univariate problems. These procedures require that experimenters be able to interpret the parameters about which they wish to make inference. The class of procedures include confidence intervals associated with the equal probability test as well as an analogue to the P value. The confidence intervals are easier to interpret…

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Juries Hearing Death Penalty Cases: Statistical Analysis of a Legal Procedure

审理死刑案件的陪审团:一项法律程序的统计分析

Potential jurors in capital cases are often queried on their attitudes toward capital punishment. The extreme groups say they would never or they would always approve capital punishment, given a guilty verdict. In many jurisdictions, these two groups are routinely excluded from juries deciding whether the defendant is guilty in capital cases. This exclusion persists even when the potential jurors say they could be fair and impartial in deciding guilt or innocence. The…

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Tests for Interchangeability With Incomplete Paired Observations

A class of conditionally distribution-free rank order tests is developed for testing interchangeability of two correlated variates with incomplete data on both responses. Asymptotic properties of these tests are examined. In particular, we show that the proposed tests are also asymptotically distribution-free. For location alternatives, the Pitman efficiency of the rank order test relative to the parametric test based on the bivariate normal model is investigated.

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Generating Test Data With Independently Controllable Features for Multivariate General Linear Forms

为多元一般线性模型生成特征可独立控制的测试数据

Experiments to assess the performance characteristics, both of statistical methods and of computer programs that implement them, are best performed using test data with controlled statistical and numerical properties. We describe an algorithm for constructing test data for any multivariate linear model that provides complete control (subject only to the requirement of mutual consistency) over the following factors: regression coefficients; regression and residual sums of…

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Kernel Estimators of the Failure-Rate Function and Density Estimation: An Analogy

失效率函数的核估计与密度估计:一种类比

In this article we explore methods by which the rate of convergence of the bias and the mean squared error of kernel estimators of the failure-rate function can be improved. We show that if the kernel is not restricted to be nonnegative and is suitably chosen, then the bias contribution to the asymptotic mean squared error can be eliminated to any required order, and the rate of convergence of the asymptotic mean squared error can be brought as close to n −1 as is desired.…

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Distributions of a Class of Statistics Useful in Multivariate Analysis

一类多元分析统计量的分布

In this article, exact and asymptotic distributions of a class of statistics whose moments are of a particular form have been obtained. An application to Wilks's criterion for testing a linear hypothesis is given, and it is shown by numerical comparison that the first term of the asymptotic expansion of the distribution obtained in this article is better than Box's asymptotic expansion in terms of chisquared distributions. The exact distribution is easily computable and has…

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Linear Estimation with an Incorrect Dispersion Matrix in Linear Models with a Common Linear Part

具有共同线性部分的模型中误设离散矩阵下的线性估计

The linear model (Y, Xβ, V), where X is any matrix satisfying the conditions ℛ (U) ⊂ ℛ (X) and ℛ (A′) ⊂ ℛ (X′), is considered, U and A being known matrices and ℛ (·) denoting range space. Nonnegative definite matrices V, for which every linear representation or some linear representation of the BLUE of Aβ under (Y, Xβ, V 1) continues to be its BLUE under (Y, Xβ, V) for every such matrix X, are characterized. Conditions under which estimable linear parametric functions admit…

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On the Small-Sample Properties of the Olkin-Sobel-Tong Estimator of the Probability of Correct Selection

正确选择概率的 Olkin-Sobel-Tong 估计量的小样本性质

In the problem of selecting the best of k populations, Olkin, Sobel, and Tong (1976) have introduced the important idea of a posteriori analysis of the data (as opposed to the usual formulation), in which design of the experiment is the major consideration. They considered the large-sample properties of an estimator that has been discussed further by Gibbons, Olkin, and Sobel (1977), Gupta and Panchapakesan (1979), and Tong (1980). In this article we study the small-sample…

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A Note on the Modified Likelihood for Density Estimation

密度估计中修正似然准则的一个注记

Let f λ be a kernel estimate (with window width λ) of the density f. Its performance is assessed by the Kullback-Leibler information distance I(f, f λ) = ∫ f log f − ∫ f log f λ. This article establishes conditions for the asymptotic equivalence of the cross-validation estimate and the jackknife estimate of the term ∫ f log f λ, and provides the common limiting value. This gives insight into the “modified likelihood” criterion for choosing λ, introduced by Habbema, Hermans,…

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Maximum Likelihood Estimation for a Discrete Multivariate Shock Model

离散多元冲击模型的最大似然估计

A k-variate Bernoulli distribution with k + 1 parameters is obtained as a shock model in which shocks are fatal to single components only or to all components simultaneously in a k-component system. The maximum likelihood estimator (MLE) for model parameters is fully characterized. In the most complex case, the MLE is displayed as a simple function of the smallest positive root of a kth degree polynomial. An iterative scheme that converges monotonically to the desired root…

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Priors and Likelihood Ratios as Evidence

作为证据的先验与似然比

Arguments based on diagnostic data concerning a particular case, and ones based on prior experience with like cases, can be represented by belief functions and combined by Dempster's Rule. In limiting cases, the belief functions depend on likelihood ratio or on prior odds, and when these limiting cases occur together, Bayes' Theorem is applicable as is Dempster's Rule. The resulting functional equations lead to a single-parameter family of functions relating belief strength…

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Statistical Tests Based on Transformed Data

基于变换数据的统计检验

The problem of testing hypotheses in linear models when the original data have been transformed is considered. It is assumed that the transformation involves an unknown parameter that has to be estimated from the data. For certain important testing problems it is found that the asymptotic level and power is as if λ had been assumed known. Asymptotic efficiency results show that when the Box-Cox transformation is used, tests based on transformed data have good power…

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