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删失数据中治疗无反应者问题的线性秩检验AI 解读

In a two-sample setting, a two-parameter mixture model is postulated for the treated patients where a proportion of the patients improve and the remaining proportion of nonresponders behave like the control patients. The response is subject to random censoring. Censored data versions of linear rank statistics are developed in order to detect improvement due to treatment. The tests are compared to standard tests such as the log rank test in terms of asymptotic relative…

删失数据中无响应者问题的线性秩检验AI 解读

In a two-sample setting, a two-parameter mixture model is postulated for the treated patients where a proportion of the patients improve and the remaining proportion of nonresponders behave like the control patients. The response is subject to random censoring. Censored data versions of linear rank statistics are developed in order to detect improvement due to treatment. The tests are compared to standard tests such as the log rank test in terms of asymptotic relative…

摘要暂缺

右删失数据下斜率的区间估计AI 解读

A new method for point and interval estimation of a slope that uses randomly right-censored data is presented. The new method is based on inverting a censored data version of a test for association. A simulation study shows that the new method compares favourably with a method due to Buckley & James (1979)

均值单向偏移异常值数据的估计程序AI 解读

Data collected in experiments often include spurious observations, that is, observations not from the population of interest, that need to be taken into account during data analysis. This article considers a dental experiment the objective of which is to estimate a person's discriminating pressure. Because of the monotony of repetition in this experiment, some data points result in inflated values. A procedure is presented for revising the standard analysis when these…

含均值单向偏移异常值的数据估计程序AI 解读

Data collected in experiments often include spurious observations, that is, observations not from the population of interest, that need to be taken into account during data analysis. This article considers a dental experiment the objective of which is to estimate a person's discriminating pressure. Because of the monotony of repetition in this experiment, some data points result in inflated values. A procedure is presented for revising the standard analysis when these…

基于Cramér–von Mises统计量的对称性检验AI 解读

Statistics of Rothman & Woodroofe (1972) and Srinivasan & Godio (1974) are combined to define a statistic for testing the symmetry of a continuous distribution about a specified median. The proposed statistic is shown to possess a desirable invariance property. Exact and asymptotic null distribution of the statistic and tables of critical values for sample sizes 10 ≤ n ≤ 24 are also given.

基于 Kolmogorov–Smirnov 统计量的位移与对称中心估计AI 解读

A point estimator and a set of confidence intervals based on the Kolmogorov-Smirnov statistic are proposed for the shift parameter in the two-sample problem. Asymptotic distibution of the etimator as well as asymptotic bounds for the lengths of the intervals are derived. The two-sample results are then adapted to the one-sample problem to define an estimator and a set of confidence intervals for the center of a symmetric population.

Bhattacharyya 界的收敛AI 解读

Bhattacharyya bounds are considered for the unbiased estimation of a parametric function when the sampling distribution is a member of an exponential family of distributions. It is shown that the Bhattacharyya bounds converge to the variance of the best unbiased estimator. The application of this result to variance determination in demonstrated with examples from the negative binomial distribution and from the exponential distribution in a reliability theory context.

Bhattacharyya 界的收敛性AI 解读

Bhattacharyya bounds are considered for the unbiased estimation of a parametric function when the sampling distribution is a member of an exponential family of distributions. It is shown that the Bhattacharyya bounds converge to the variance of the best unbiased estimator. The application of this result to variance determination in demonstrated with examples from the negative binomial distribution and from the exponential distribution in a reliability theory context.