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Bayes Factors for Nonlinear Hypotheses and Likelihood Distributions

非线性假设的 Bayes 因子与似然分布

New methods are proposed which allow Bayes factors to be computed for hypotheses which impose nonlinear restrictions on the parameters. Projection methods are used to induce the prior distribution over the restricted parameter space which is required for computation of the Bayes factor. Various distance metrics are introduced to define the projection, including a utility-based metric which gives Kullback-Leibler divergence as a special case. Draws from the restricted and…

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Choice of Bandwidth for Kernel Regression when Residuals are Correlated

残差相关时核回归的带宽选择

Standard techniques for selecting the bandwidth of a kernel estimator from the data in a nonparametric regression model perform badly when the errors are correlated. In this paper we propose a modified version of an existing plug-in bandwidth selector. The method is generalized to stationary error variables by estimating a functional of the residual covariance function. The proposed bandwidth selector shows good properties in asymptotic theory and in simulations without…

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Estimating the Proportion of Immunes in a Censored Sample

An estimator for the proportion of ‘immunes’ in a population is proposed, when a sample of censored failure times is available. Our suggestion is to use one minus the maximum observed value of the Kaplan-Meier empirical distribution function. This estimator is shown to be consistent and asymptotically normal, under modest conditions on the censoring mechanism. Simulations suggest that the estimator is approximately normal for quite small sample sizes, provided the immune…

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Jackknife Variance Estimators in Linear Models

线性模型中的刀切法方差估计量

An alternative to the weighted jackknife variance estimator of Wu (1986) is introduced. Motivated by the comments of Efron (1986), Ghosh (1986) and Tibshirani (1986), the performance of Wu's estimator is compared with the proposed estimator in terms of the average loss in some linear models. Some asymptotic properties of the proposed estimator are discussed.

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Interpolation Rules Suggested by Asymptotic Expansions

渐近展开启发的插值规则

We suggest a simple interpolation rule, based on Edgeworth and Cornish-Fisher expansions, which permits highly accurate numerical approximation in problems involving calculation of distributions or quantiles without requiring explicit calculation of terms in the expansions.

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Principal Component Analysis for Multivariate Familial Data

多变量家庭数据的主成分分析

The use of a principal component analysis is considered for multivariate data on families with different numbers of siblings. The coefficients in principal components are given as the eigenvectors of the weighted sums of squares and products matrix from the sibling data. Asymptotic distributions of the eigenvalues and eigenvectors of the estimated covariance matrix are obtained for an elliptical population. Asymptotic distributions of statistics associated with reduction of…

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Robust Tests of Inequality Constraints and One-Sided Hypotheses in the Linear Model

线性模型中不等式约束与单侧假设的稳健检验

For the linear regression model with independent and identically distributed errors, robust tests of various hypotheses on the regression parameter are developed; by ‘robust’, we mean robustness of size and power against long-tailed error distributions which may not be symmetric. The proposed test statistic, denoted by FM, resembles the usual F-statistic. The two main results are (i) under the null hypothesis, the asymptotic distribution of FM and that of the least squares…

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Comparing Dual with Single Treatments in Block Designs

区组设计中双重处理与单一处理的比较

Experiments having two treatment factors and one blocking factor are considered in which a particular combination of treatment factor levels must be excluded. The motivation for the work is a medical trial of two drugs in which a double placebo cannot be administered on ethical grounds. The contrasts of interest compare the effects of having both treatment factors at nonzero labelled levels with the effects of having only one treatment factor at a nonzero labelled level. A…

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Bayesian Methodology for Combining the Results from Different Experiments when the Specifications for Pooling are Uncertain

合并规则不确定时整合不同实验结果的贝叶斯方法

Given data from several experiments or observational studies initially believed to be similar, it is desired to estimate the means corresponding to one or more experiments of particular interest. To illustrate the proposed methodology we consider a simple specification where there are no covariates. A class of prior distributions for the set, μ = (μ1,…, μL), of experiment means is specified to reflect the beliefs that (a) there are subsets of μ such that the μ1's within each…

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Capture-Recapture Estimation with Samples of Size One Using Frequency Data

利用频数数据进行单次捕获样本的捕获—再捕获估计

One way in which a capture-recapture experiment can be designed is to count each capture occasion as a separate sample, and tally the number of individuals caught once, twice, and so on. This paper discusses the estimators currently used for this type of experiment, and suggests some new ones. Each of the estimators is categorized by its derivation. Following this, their properties are discussed, particularly their bias and variance, with the aim of choosing one or two of…

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Sequential Log Rank Tests Adjusting for Covariates with the Accelerated Life Model

用加速寿命模型调整协变量的序贯对数秩检验

This paper presents a simple sequential method for comparing two treatments in randomized clinical trials which allows for the adjustment of other covariates with the accelerated life model. The new procedure is the same as the ordinary sequential log rank test except that the test statistic is calculated on an ‘adjusted’ time scale. This covariate adjustment can lead to more efficient designs of group sequential trials especially when the effects of covariates being…

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Covariance and Survivor Function Estimation Using Censored Multivariate Failure Time Data

删失多元失效时间数据的协方差与生存函数估计

The covariance between counting process martingales is used to characterize the dependence between two failure time variates. A representation of the bivariate survivor function is obtained in terms of the marginal survivor functions and this covariance function. A closely related representation expresses the bivariate survivor function in terms of marginal survivor functions and a conditional covariance function, leading to a new nonparametric survivor function estimator.…

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A Unified Approach to the Construction of Minimax Designs

构造极小极大设计的统一方法

We present a unified approach for constructing large-sample optimal designs when the optimality criterion is of the minimax type. The assumed model is a general linear regression model with a known efficiency function defined on a closed and bounded space. An equivalence theorem is formulated and computer algorithms for generating minimax optimal designs are proposed. It is shown that this methodology is simple and rather general. It can be used to construct, for example,…

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Properties of Estimators of the Finite Population Distribution Function

有限总体分布函数估计量的性质

Two leading estimators of the finite population distribution function are studied. Their large-sample mean squared errors are compared, under a given model. Neither estimator is universally better; circumstances are identified where the model-based estimator would do poorly, despite employing the correct model.

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Testing Capture Homogeneity in a Recapture Model

再捕获模型中的捕获同质性检验

This paper presents a new method of testing capture homogeneity in recapture experiments where there is time homogeneity. The basic set of statistics used is a lower triangular matrix whose (i, k)th element is the proportion of those animals caught on the next (i + 1)st occasion who have been caught k times until now. Both theoretical and simulation evidence is presented that the new procedure is superior to methods previously suggested.

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On the Asymptotic Standard Errors of Residual Autocorrelations in Nonlinear Time Series Modelling

非线性时间序列建模中残差自相关的渐近标准误

The asymptotic distribution of residual autocorrelations for some very general nonlinear time series models is derived. This includes the important class of threshold models. Consequently more accurate standard errors for residual autocorrelations can be obtained facilitating model diagnostic checkings in many situations. A small simulation result applying the methodology to threshold models is reported.

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A New Test for Mean Residual Life Times

平均剩余寿命的新检验

The mean residual life at age t is the expected value of the remaining life beyond that age. A new U-statistic is derived for testing constant versus decreasing mean residual life. The new test is easier to compute and performs better for several alternatives than previous tests.

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