Bayesian analysis of the linear regression model with an edgeworth series prior distribution

The purpose of the present investigation 1s to observe the effect of departure from normahty of the prior distribution of regresslon parameters on the Bayman analysis of a h e a r regresslon model Assuming an Edgeworth serles prior distribution for the regresslon coefficients and gamma prior for the disturbances precision, the expressions for the posterlor distribution, posterlor mean and Bayes risk under a quadratic loss function are obtalned The results of a numerical evaluation are also analyzed     

Rejoinder: "Comment on 'a new Statistic for Testing Suspected Outliers'"

The values of the power of Tiku's (1975) T statistic for testing outliers in normal samples are evaluated. The statistic T is shown to be more powerful than other comparable statistics under Tiku's outlier model, although slightly less powerful under Dixon's (1950) contamination model.     

Homogeneity Tests for Related Samples Under Censoring

We propose nonparametric homogeneity tests for related samples against much wider than location (or scale) class of alternatives including possible crossings of marginal cumulative distribution functions. The tests can be used in the case of complete and censored samples. Asymptotic distribution of the test statistics is investigated.     

On finite mixture of two-component gompertz lifetime model

The Gompertz distribution has been used as a growth model, especially in epidemiological and biomedical studies. Based on Type I and II censored samples from a heterogeneous population that can be represented by a finite mixture of two-component Gompertz lifetime model, the maximum likelihood and Bayes estimates of the parameters, reliability and hazard rate functions are obtained. An approximation form due to Lindley (1980) is used in obtaining the corresponding Bayes estimates. The maximum likelihood and Bayes estimates are comparedvia a Monte Carlo simulation study.     

A test for suitability of the preliminary samples for constructing control limits of X¯ chart

Unless the preliminary m subgroups of small samples are drawn from a stable process, the estimated control limits of X¯ chart in phase I can be erroneous, due to which the performance of the chart in phase II can be significantly affected. In this work, a quantitative approach based on extraction of the shape features of control chart patterns in the X¯ chart is proposed for evaluating the stability of the process mean, while the preliminary samples were drawn and thus, the subjectivity associated with the visual analysis of the patterns is eliminated. The effectiveness of the test procedure is evaluated using simulated data. The results show that the proposed approach can be very effective for m≥48. The power of the test can be improved by identifying a new feature that can more efficiently discriminate the cyclic pattern of smaller periodicity from the natural pattern and by redefining the test statistic.     

Bayesian and maximum likelihood estimations of the inverse Weibull parameters under progressive type-II censoring

In this paper, the statistical inference of the unknown parameters of a two-parameter inverse Weibull (IW) distribution based on the progressive type-II censored sample has been considered. The maximum likelihood estimators (MLEs) cannot be obtained in explicit forms, hence the approximate MLEs are proposed, which are in explicit forms. The Bayes and generalized Bayes estimators for the IW parameters and the reliability function based on the squared error and Linex loss functions are provided. The Bayes and generalized Bayes estimators cannot be obtained explicitly, hence Lindley's approximation is used to obtain the Bayes and generalized Bayes estimators. Furthermore, the highest posterior density credible intervals of the unknown parameters based on Gibbs sampling technique are computed, and using an optimality criterion the optimal censoring scheme has been suggested. Simulation experiments are performed to see the effectiveness of the different estimators. Finally, two data sets have been analysed for illustrative purposes.     

无偿赠送在快速消费品企业中的涉税处理

无偿赠送作为一种常用的促销手段，普遍存在于快速消费品企业中。快速消费品企业采用无偿赠送的形式多种多样，涉税事项也较为复杂，如何做到既合理避税又不漏税成为快速消费品企业探讨研究的课题。在仔细研究国家对复杂多样的促销手段出台的各种税收政策的基础上，分析了不同形式的无偿赠送最适用的税收政策，从而找出最佳的涉税处理方式，以便使企业达到既合理避税又不漏税的目的。     

Goodness-of-fit tests for the pareto and lognormal distributions based on multiply truncated samples

This article considers the situation where, in the most general case, each observation in a sample has been “truncated” below at a different, but known value. Each observation is truncated in the sense that, had it been 1ess than the truncati on point, it would not have appeared in the sample. A goodness-of-fit test based on Gnedenko’ F statistic is developed to test the hypothesis that the underlying distribution is Pareto against the alternative of lognormality. The Chi-square and Kolmogorov tests are adapted to test the hypothesi s of lognormality with unspecified alternative. The application of these techni ques to the analysis of insurance claim data is discussed.     

The curious case of case study: a viewpoint

Abstract

This paper focuses on microethical issues concerning interactions in which the process of informed consent occurs. It draws on research analysing the biographies and future hopes of 15- to 17-year-old girls and boys participating in targeted youth/educational programmes in the Helsinki area. The ethical challenge explored here is how to negotiate with the young interviewees on expanding the research setting towards a longitudinal and cross-generational approach, which also means expanding the data produced on their already well-reported lives. The paper highlights the power relations between adult researcher and young research participant, the contextual nature of gaining informed consent, and the conflict involved in trying to avoid hounding an over-surveilled group while still tracking their whereabouts and revisiting them for a follow-up interview.     

Small Samples,Big Challenges: Studying Atypical Family Forms

We discuss the challenges of small‐subsample sizes that family scholars often encounter when studying nontraditional or less common family types. We begin by identifying the general difficulties of using existing data in this line of research and then discuss potential solutions that may help researchers to avoid these problems. Using data from the Early Childhood Longitudinal Study, we use the example of monoracial White, monoracial Asian, and Asian/White interracial families to illustrate these problems and available, albeit imperfect, solutions.