A Bayesian Hierarchical Model for Multiple Comparisons in Mixed Models

We propose a Bayesian hierarchical model for multiple comparisons in mixed models where the repeated measures on subjects are described with the subject random effects. The model facilitates inferences in parameterizing the successive differences of the population means, and for them, we choose independent prior distributions that are mixtures of a normal distribution and a discrete distribution with its entire mass at zero. For the other parameters, we choose conjugate or vague priors. The performance of the proposed hierarchical model is investigated in the simulated and two real data sets, and the results illustrate that the proposed hierarchical model can effectively conduct a global test and pairwise comparisons using the posterior probability that any two means are equal. A simulation study is performed to analyze the type I error rate, the familywise error rate, and the test power. The Gibbs sampler procedure is used to estimate the parameters and to calculate the posterior probabilities.     

Conditional k-out-of-n systems with a cold standby component

ABSTRACT

In this article, we consider a k-out-of-n system with a cold standby component under the general condition that lth (0 < l ? n ? k + 1) component is working at time t. The survival function and mean residual life function of such system are derived. Some stochastic monotonic properties of the system lifetimes are presented as well. Numeric results are provided to illustrate the results. The main results obtained in this article complement and generalize related ones in Eryilmaz (2012 Eryilmaz, S. (2012). On the mean residual life of a k-out-of-n: G system with a single cold standby component. Eur. J. Oper. Res. 222:273–277.[Crossref], [Web of Science ®] , [Google Scholar]).     

Comparison of dependent two-way contingency tables

Comparison of two-way contingency tables using measures of association is considered. Multiple comparison procedures for dependent tables are proposed, enabling us to compare tables that are faces from larger multl-dimensional tables. An example

is given to Illustrate the analysis of two 2 × 2-tables formed

from a 2⁴-table.     

Optimal design results for 2n factorial paired comparison experiments

Four general classes of partially balanced designs for 2ⁿ factorials, corresponding to four different forms of a general null hypothesis H on factorial effects, are presented. For the typical design in each class, the simplified form of the non-centrality parameter λ² of the asymptotic chi-square distribution of the likelihood ratio statistic for testing the corresponding form of H₀ is derived under defined local alternatives. Optimal designs d₁ maximizing λ² in the i-th class and minimizing the trace, determinant and largest eigenvalue of a defined covariance matrix, i =1,…,4, are determined.     

Cluster analysis in a randomized complete block design

The mixture maximum likelihood approach to clustering is used to allocate treatments from a randomized complete block de-sign into relatively homogeneous groups. The implementation of this approach is straightforward for fixed but not random block effects. The density function in each underlying group is assumed to be normal and clustering is performed on the basis of the estimated posterior probabilities of group membership. A test based on the log likelihood under the mixture model can be used to assess the actual number of groups present. The tech-nique is demonstrated by using it to cluster data from a random-ized complete block experiment.     

A sample size selection procedure for pairwise comparisons of means with unequal variances

A sample size selection procedure for paired comparisons of means is presented which controls the half width of the confidence intervals while allowing for unequal variances of treatment means.     

History and role of order statistics

This paper starts with an itroduction which gives definitions of order statistics,makes a clear distinction between order statistics and rank statistics, and gives an overview of the problems in which methods based on order statstics are useful.The following sections deal with the history and role of order sta¬tistics in selected areas: central tendency, dispersion, and regression; treatment of outliers and robust estimation; maximum likelihood estimators; best linear unbiased estimators; extreme-values; multiple comparisons and studentized range. The last two sections discuss a basic coverage property and some of its conse¬quences and describe the author's chronological annotated bibliography of order statistics. Finally, there is a list of references.     

Optimal Designs for 2 k Choice Experiments

Abstract

In this article we establish the choice sets in the D-optimal design for a choice experiment for testing main effects and for testing main effects and two-factor interactions, when there are k attributes, each with two levels, for choice set size m. We also give a method to construct optimal and near-optimal designs with small numbers of choice sets.     

Pairwise Comparisons Associated with the K Independent Sample Median Test

In this article, a Tukey-type method is proposed that will allow simultaneous pairwise comparisons among all pairs of samples associated with Mood's procedure. An example is also provided for illustrative purposes.     

Responding to child maltreatment: Comparison between the USA and China

A recent study estimated that over one‐fourth of Chinese children have suffered maltreatment (Fang et al., 2015 ). However, the current child welfare policy in China is limited to orphans, abandoned children, and children with disabilities. Also, there is very little comparative research in China on Chinese and other countries’ child welfare systems. The purpose of this study was to analyze applicable US and Chinese child welfare policies, identify gaps in Chinese policy regarding child maltreatment, and make recommendations for a policy agenda for improving child welfare in China based on cultural values and existing policy structures. Results show that China has considerable capacity to make improvements in child protective services, foster care, and adoption policies. Based on the results of this study, several implications are provided to develop China's child maltreatment policy to increase children's outcomes of well‐being, safety, and permanency. Key Practitioner Message: ? To understand the background and system of current Chinese child maltreatment policy; ? To review US child maltreatment policy and its implementation to identify gaps in the Chinese child maltreatment system; ? To provide policy suggestions to develop Chinese child maltreatment policy and provide recommendations for social work education and practice in China.