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二项分布参数 n 的估计AI 解读

Estimating the parameter n of the binomial distribution on the basis of r independent observations has been considered sporadically over the years. Many questions regarding asymptotic and small sample properties of moment, maximum likelihood, and related estimators either have been ignored or have received inadequate treatment. A unified and comprehensive study of these topics is given here. We also consider the problem of zero-truncated observations.

Logistic模型与潜在结构的估计AI 解读

Consider the logistic model for dichotomous response involving a group of individuals with varying levels of ability and a set of items with varying degrees of difficulty. This article is concerned with estimating the parameters of the latent ability distribution for any given group of individuals. An iterative procedure for obtaining maximum likelihood estimates of these parameters based on the missing information principle is presented and illustrated with real data. The…

从不完整泊松样本估计完整样本量AI 解读

Maximum likelihood estimators and a modified maximum likelihood estimator are developed for estimating the zero class from a truncated Poisson sample when the available sample size itself is a random variable. All the estimators considered here are asymptotically equivalent in the usual sense; hence their asymptotic properties are investigated in some detail theoretically as well as by making use of Monte Carlo experiments. One modified estimator appears to be best with…

正态总体混合下 Stein 两阶段程序的稳健性AI 解读

Explicit expressions for the level of significance and power of Stein's two-stage hypothesis testing procedure are derived when the normal population is mixed with another normal population differing in the mean. Approximate expansions for these expressions have been obtained, and numerical studies of the size have been carried out using the expansions. Some numerical indication of the accuracy of the approximations has also been obtained. Stein's two-stage procedure is…

Stein 两阶段程序对正态总体混合的稳健性AI 解读

Explicit expressions for the level of significance and power of Stein's two-stage hypothesis testing procedure are derived when the normal population is mixed with another normal population differing in the mean. Approximate expansions for these expressions have been obtained, and numerical studies of the size have been carried out using the expansions. Some numerical indication of the accuracy of the approximations has also been obtained. Stein's two-stage procedure is…

已知方差时最大正态均值的序贯估计AI 解读

Given a procedure $\hat{\theta}^\ast$ for estimating the largest mean $\theta^\ast$ of $k$ normal populations with common known variance, it is desired to choose the common sample size $n$ so that the mean squared error (M.S.E.) of $\hat{\theta}^\ast$ does not exceed a given bound, $r$, regardless of the configuration of values of the $k$ means. Let $\Delta_1 \geqq \cdots \geqq \Delta_k = 0$ be the ordered values of $(\theta^\ast - \theta_i)$, where $\theta_1, \cdots, \theta_k$…

指数失效模型下的总体规模估计AI 解读

We are given J observations obtained by truncated sampling of a population of N items which fail independently according to the exponential distribution, where both N and the scale parameter of the exponential are unknown. Estimates of N are developed, and compared. These are conditional and unconditional maximum likelihood estimates, and a class of Bayes modal estimates. On the basis of second-order asymptotic properties, one of the Bayes estimates is singled out as most…

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