The association between discrimination and violence among Somali Canadian youth

Analyses were conducted with a sample of 18–30-year-old Somali Canadians to test the association between discrimination and violence-related beliefs and behaviours, whether this association differs by the source of the discrimination, and whether there is a different pattern of effects for men and women. Results indicate that discrimination from within one’s own community is not associated with attitudes towards violence, anti-violence behaviours or criminal violence. By contrast, out-group discrimination is associated with more anti-violence behaviours by women, although these effects are not strong. Out-group discrimination is also related to criminal violence among men but not women.     

HOUSEHOLD FINANCES,INCOME SHOCKS,AND FAMILY SEPARATION IN BRITAIN

We examine the effect of household financial indebtedness on the incidence of partnership dissolution using a large survey of families with children in Britain. We use detailed data on household finances to provide a robust statistical analysis of the relationship between indebtedness and partnership dissolution and to avoid the potential simultaneity of financial and psychological health responses that arise when using self‐reported data on the extent of household “financial problems.” We examine whether the data provide any support for the “economic” models of divorce and separation developed by Gary Becker and his colleagues. (JEL J12, D12)     

On some test statistics for testing homogeneity of variances: a comparative study

In this paper, we have reviewed 25 test procedures that are widely reported in the literature for testing the hypothesis of homogeneity of variances under various experimental conditions. Since a theoretical comparison was not possible, a simulation study has been conducted to compare the performance of the test statistics in terms of robustness and empirical power. Monte Carlo simulation was performed for various symmetric and skewed distributions, number of groups, sample size per group, degree of group size inequalities, and degree of variance heterogeneity. Using simulation results and based on the robustness and power of the tests, some promising test statistics are recommended for practitioners.     

On the Expressions of Estimability in Testing General Linear Hypotheses

In testing a general linear hypothesis of the form K ′β ? ( W ′) under a general linear model, an equivalent hypothesis involving only estimable parametric functions is provided, and then an explicit test statistic in terms of the model matrices is given. The corresponding results are expanded to the case of a general linear model with a restriction and are illustrated by an example.     

Central Limit Theorem for ISE of Kernel Density Estimators in Censored Dependent Model

In some long-term studies, a series of dependent and possibly censored failure times may be observed. Suppose that the failure times have a common continuous distribution function F. A popular stochastic measure of the distance between the density function f of the failure times and its kernel estimate f _n is the integrated square error(ISE). In this article, we derive a central limit theorem for the integrated square error of the kernel density estimators under a censored dependent model.     

Analysis of Bivariate Survival Data using Shared Inverse Gaussian Frailty Model

In this article, we consider shared frailty model with inverse Gaussian distribution as frailty distribution and log-logistic distribution (LLD) as baseline distribution for bivariate survival times. We fit this model to three real-life bivariate survival data sets. The problem of analyzing and estimating parameters of shared inverse Gaussian frailty is the interest of this article and then compare the results with shared gamma frailty model under the same baseline for considered three data sets. Data are analyzed using Bayesian approach to the analysis of clustered survival data in which there is a dependence of failure time observations within the same group. The variance component estimation provides the estimated dispersion of the random effects. We carried out a test for frailty (or heterogeneity) using Bayes factor. Model comparison is made using information criteria and Bayes factor. We observed that the shared inverse Gaussian frailty model with LLD as baseline is the better fit for all three bivariate data sets.     

A Selection Procedure for Selecting the Least Increasing Failure Rate Average Distribution

For k independent absolutely continuous increasing failure rate average (IFRA) life distributions F_i, i = 1, 2, …, k, Link (1989 Link, W.A. (1989). Testing for exponentiality against monotone failure rate average alternatives. Commun. Statist. Theor. Meth. 18(8): 3009–3017.[Taylor & Francis Online], [Web of Science ®] , [Google Scholar]) considered a measure of departure of against monotone failure rate average alternatives. In this paper, we use the measure defined by Link for detection of IFRA-ness of life distribution F_i. A two-stage selection procedure to select the least IFRA distribution is proposed. This selection procedure is based on a U-statistic which is an estimator of the measure and can be implemented even when the IFRA life distributions belong to different families. The applications of this procedure are discussed for some well known distributions.     

Some Effective Rotation Patterns in Estimation of Population Mean in Two-Occasion Successive Sampling

This article is an attempt to explore some effective rotation patterns in estimation of current population mean in two occasions successive sampling. Utilizing the readily available information on an auxiliary variable on both occasions and the information on study variable from the previous occasion, some efficient estimation procedures have been suggested. Optimum replacement strategies and the efficiencies of the proposed estimators have been discussed. Empirical studies are carried out and suitable recommendations are made.     

Nonparametric estimators for quantile density function under length-biased sampling

Abstract

In this article, the strong uniform consistency of two nonparametric estimators for the quantile density function is established under length-biased sampling. The rate of the strong approximation of the resulting processes of these estimators will be presented as well. A Monte Carlo simulation study is carried out to compare the proposed estimators with each other in terms of mean squared errors.     

Postcolonial guilt and national identity: historical injustice and the Australian settler state

In nations with a record of historical injustice, guilt about the past is deeply implicated in both efforts towards reconciliation and the construction of national identity. This is as true in notionally postcolonial nations, where past injustice is often denied or avoided, as it is in situations where conflict and injustice have been more recent, overt or visible to the rest of the world. Taking the Australian case as an example, this article considers the dimensions of historical collective guilt, and explores the implications of that guilt for contemporary national identity in postcolonial nations. It argues that until a nation is able to deal with social psychological barriers to addressing historical injustice, it is likely to construct and maintain a narrow and defensive form of nationalism.