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On the Use of Conditional Asymptotic Normality

条件渐近正态性的应用

Summary Methods for obtaining the limiting distribution of a complicated statistic which depends on another auxiliary statistic are discussed. Examples are given in which a general conditional approach due to Sethuraman is found to be extremely fruitful in solving this type of problem.

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Reference Posterior Distributions for Bayesian Inference

用于贝叶斯推断的参考后验分布

Summary A procedure is proposed to derive reference posterior distributions which approximately describe the inferential content of the data without incorporating any other information. More explicitly, operational priors, derived from information-theoretical considerations, are used to obtain reference posteriors which may be expected to approximate the posteriors which would have been obtained with the use of proper priors describing vague initial states of knowledge. The…

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Bayesian Inference for a Normal Dispersion Matrix and its Application to Stochastic Multiple Regression Analysis

正态离散矩阵的贝叶斯推断及其在随机多元回归中的应用

Summary This paper discusses Bayesian inference procedures for a normal dispersion matrix. Structural information for the prior mean of the dispersion matrix is incorporated into the analysis through a Normal-Wishart prior distribution. Many of the resulting Bayes estimates are invariant, consistent and asymptotically efficient. Using this procedure, a coherent Bayesian argument for stochastic multiple regression analysis is developed, where dependent and independent…

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The Determination of the Order of an Autoregression

自回归模型阶数的确定

Summary It is shown that a strongly consistent estimation procedure for the order of an autoregression can be based on the law of the iterated logarithm for the partial autocorrelations. As compared to other strongly consistent procedures this procedure will underestimate the order to a lesser degree.

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Discrete Time Series Generated by Mixtures. I: Correlational and Runs Properties

混合生成的离散时间序列(一):相关与游程性质

Summary A broad but parametrically simple model for a stationary sequence of dependent discrete random variables is given and several submodels are discussed. The structure of the model is specified by the marginal distribution of the random variables and several other parameters. The sequence of random variables is formed by a probabilistic linear combination of i.i.d. discrete random variables and is in general not Markovian. Second-order joint moments and spectra are…

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Finding the Outliers that Matter

识别具有重要影响的离群观测

Summary A method is proposed for examining a linear model for the presence of one or more important outliers—deviant observations which have a potentially large influence on the resulting parameter estimates. For this purpose, a new statistic is proposed and its distributional properties are discussed. The method itself is exploratory in nature, but exact significance tests are available. Several examples illustrate the method. Computational aspects are discussed.

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On the Half-Sample Method for Goodness-Of-Fit

关于拟合优度检验的半样本方法

Summary Two interesting processes, related to the empirical distribution function, have been pointed out by Rao (1972) and by Durbin (1973). The second, in particular, leads to the half-sample method, an elegant and simple technique for dealing with unknown parameters in goodness-of-fit testing, without the necessity of new tables of percentage points for each distribution tested. to those who have spent some effort in producing such tables, it is natural to wonder whether…

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Bayesian Analysis of a Two-Sample Problem Based on the Rank Order Statistic

基于秩序统计量的两样本问题贝叶斯分析

Summary A Bayesian analysis of the two-sample, location-shift problem based on the rank order statistic is described. It is assumed that the data available can only at best be considered as being on the ordinal scale. Exact and simplified approximate procedures are suggested. These are not distribution-free since the underlying population distributions need to be specified.

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A Class of Shrinkage Estimators

一类收缩估计量

Summary In this paper we define a class of shrinkage estimators, all of whose members have a mean square error matrix which is less than that of the ordinary least squares estimator by a positive semidefinite matrix if (β-b *)T X T X (β-b *) ≤ σ2. The ridge regression, principal component and minimum conditional mean square error estimators are members of this class.

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Bayes Factors from Mixed Probabilities

混合概率下的贝叶斯因子

Summary A new expression for a Bayes factor as a weighted average of conditional Bayes factors is given, resembling the familiar relation for a marginal probability as a weighted average of conditional probabilities. Interpretations are given for the three contexts of (i) the use of a non-sufficient statistic, (ii) inference for a simple hypothesis versus a vague alternative in terms of inference for a dichotomy and (iii) opinion pooling before sampling.

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A Scale-Free Goodness-Of-Fit Test for the Exponential Distribution Based on the Gini Statistic

基于 Gini 统计量的指数分布尺度无关拟合优度检验

Summary The sample Gini index is shown to be a powerful scale-free test of exponentiality against a variety of alternatives. Compared to the maximum likelihood test, the asymptotic relative efficiency of the Gini statistic is 0·69 against gamma and 0·88 against Weibull alternatives. Exact and asymptotic distribution theory is developed. On the basis of good power compared to competing tests, ease of computation, availability of exact critical values and robustness to…

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A Unified Derivation of the Asymptotic Distributions of Goodness-Of-Fit Statistics for Autoregressive Time-Series Models

自回归时间序列拟合优度统计量渐近分布的统一推导

Summary The portmanteau and Quenouille goodness-of-fit tests for an ar(p) model are derived as likelihood-ratio tests against particular alternative hypotheses, and their asymptotic distributions are thereby obtained.

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Invariance Properties of Uncorrelated Residual Transformations

不相关残差变换的不变性

Summary The problem of obtaining an uncorrelated residual in the general linear model of full rank which is orthogonal to the design matrix has been discussed by Theil (1965), Brown et al. (1975) and others. In this paper it is shown that the problem is equivalent to stipulating an invariance requirement for the corresponding residual sum of squares, thus implying that alternative uncorrelated residuals are necessarily related by an orthogonal transformation. The set of…

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Distributional Expansions for Canonical Correlations from Contingency Tables

列联表典型相关的分布展开

Summary The asymptotic distribution of the canonical correlations from contingency tables was investigated by the author (1978) for a general theoretical correlation structure. In this paper, the structure examined is one in which all theoretical, non-zero correlations are different. For the observed canonical correlations corresponding to non-zeros, an analytic expansion is obtained enabling not only the asymptotic distributions to be obtained, but also a correction for…

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On the Distribution of Residual Autocorrelations in Box–Jenkins Models

Box–Jenkins模型残差自相关的分布

Summary The large sample distribution of the residual autocorrelations in the arma model is derived. The main advantage of this derivation over that of Box and Pierce (1970) is that it extends directly to more general situations. Generalizations of the derived distribution are presented for the residual autocorrelations in the multiplicative seasonal arma model and for the autocorrelations of a subseries of the residuals.

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A Large-Sample Test for Detecting Gaps in Moving Average Models

检测移动平均模型系数空缺的大样本检验

Summary A procedure is given in the paper for testing the hypothesis that a specified set of parameters in a moving average process assumes the value zero. In particular, the method is applicable for detecting whether a moving average process is seasonal or not. This large-sample test, which operates entirely in the time domain, is based on the estimated asymptotic covariance matrix of improved estimates of the autocorrelation function and is derived from the results of…

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Improper Priors, Spline Smoothing and the Problem of Guarding Against Model Errors in Regression

非正常先验、样条平滑与回归模型误差防范

Summary Spline and generalized spline smoothing is shown to be equivalent to Bayesian estimation with a partially improper prior. This result supports the idea that spline smoothing is a natural solution to the regression problem when one is given a set of regression functions but one also wants to hedge against the possibility that the true model is not exactly in the span of the given regression functions. A natural measure of the deviation of the true model from the span…

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The Inverse Gaussian Distribution and its Statistical Application—A Review

逆高斯分布及其统计应用综述

Summary This paper reviews the development of the inverse Gaussian distribution and of statistical methods based upon it from the paper of Schrödinger (1915) to the present (1978). After summarizing the properties of the distribution, the paper presents tests of hypotheses, estimation, confidence intervals, regression and “analysis of variance” based upon the inverse Gaussian. its potential role in reliability work is discussed and work on Bayesian statistics is reviewed…

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A Non-Parametric Test for Comparing Two Non-Independent Distributions

比较两个相依分布的非参数检验

Summary Using a sample from an unknown bivariate distribution, we propose a test for the hypothesis that one marginal distribution is stochastically larger than the other. We show that the test statistic has an asymptotic normal distribution, and that the proposed test is asymptotically non-parametric. This test is compared to the paired t-test for large samples in terms of asymptotic relative efficiency and for samples of size 20 by simulation estimates of size and power.…

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Confidence Intervals for the Quantiles of a Finite Population: Simple Random and Stratified Simple Random Sampling

有限总体分位数的置信区间:简单随机抽样与分层简单随机抽样

Summary Given a finite population consisting of N units, it is desired to have a confidence interval for the (t/N)th quantile, Y (t), of the population. Assuming simple random sampling, a confidence interval procedure is suggested and several expressions for the associated confidence coefficient are given. With stratified simple random sampling, for L = 2 strata, three confidence interval procedures are suggested. The associated confidence coefficients are derived under each…

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A Model for Cylindrical Variables with Applications

圆柱面变量模型及其应用

Summary A suitable model when two random variables take values on a cylinder is proposed and its main properties are discussed. The maximum likelihood estimators for the parameters of the model are obtained and a likelihood ratio test of independence is derived. A numerical example is given.

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Discrete Time Series Generated by Mixtures Ii: Asymptotic Properties

混合生成的离散时间序列(二):渐近性质

Summary The darma (discrete mixed autoregressive-moving average) processes are a broad but parametrically simple class of models for a stationary sequence of dependent discrete random variables. A darma process is formed as a random linear combination of independent identically distributed discrete random variables. The process is specified by the distribution of the independent variables, which is also the marginal distribution of the random process, and several other…

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Non-Parametric Bayesian Analysis of Survival Time Data

生存时间数据的非参数贝叶斯分析

Summary A Bayesian analysis of the semi-parametric regression and life model of Cox (1972) is given. The cumulative hazard function is modelled as a gamma process. Both estimation of the regression parameters and of the underlying survival distribution are considered. The results are compared to the results obtained by other approaches.

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