Using power transformations when approximating quantiles

Estimators are obtained tor quantiles of survival distributions. This is accomplished by approximating Lritr distribution of the transtorrneri data, where the transformation used is that of Box and Cox (1964). The normal approximation as in Box and Cox and, in addition, the extreme value approximation are considered. More generally, to use the methods given, the approximating distribution must come from a location-scale family. For some commonly used survival random variables T the performance of the above approximations are evaluated in terms of the ratio of the true quantiles of T to the estimated one, in the long run. This performance is also evaluated for lower quantiles using simulated lognormai, Weibull and gamma data. Several examples are given to illustrate the methodology herein, including one with actual data.     

A fortran implementation of univariate fourier series density estimation

A set of Fortran-77 subroutines is described which compute a nonparametric density estimator expressed as a Fourier series. In addition, a subroutine is given for the estimation of a cumulative distribution. Performance measures are given based on samples from a Weibull distribution. Due to small size and modest space demands, these subroutines are easily implemented on most small computers.     

A group‐based module for adolescents to improve motivation to change sexually abusive behaviour

This article describes a group‐based intervention for adolescents specifically designed to improve motivation to change sexually abusive behaviour. The intervention is intended to be used as a single module within a comprehensive treatment programme based on cognitive behavioural and relapse prevention principles. It utilizes the Prochaska and DiClemente ( 1983 , 1986 ) model of the stages of change and Morrison's ( 1998 ) seven steps in contemplating change. We have combined these two models to produce ‘11 Steps of Motivation and Action in Changing Sexually Abusive Behaviour’. These 11 steps form the foundation of the intervention. In this paper we describe how we use the 11 steps, with accompanying illustrative vignettes and question cards describing juvenile sexual abusers at various points along the continuum of change, in order to promote the acceptance of responsibility for abusive behaviour and the development of skills to prevent reoffending. Examples of the vignettes are provided, along with a discussion of how they can be used to motivate change, develop healthy group norms in treatment and set individual goals for clients. Finally, we highlight the possibility of future applications of this intervention with male adult abusers, adolescent and adult female abusers, parents groups, significant other groups, individual clients and children with sexually aggressive behaviour. Copyright © 2001 John Wiley & Sons, Ltd.     

Book Review: Religion as a Chain of Memory. By Hervieu-Léger,Danièle. New Brunswick,NJ: Rutgers University Press, 2000. 204 pages,paperback, ISBN: 0-8135-2828-3

Qualitative Sociology -     

Queer-friendly nation? The experience of Chinese gay immigrants in Canada

In the past decade, the People’s Republic of China has become the leading source country of immigrants to Canada. However, little is known about the experience of Chinese gay immigrants in Canada. Using narratives collected through a qualitative study, we show the way in which Chinese gay men construct their experience of immigration in Canada. Unlike the national discourse that claims Canada is a friendly nation for members of the LGBTTQ community, the experiences of Chinese gay immigration present a different story. As racialised gay men, they continue to be subjected to social violence in Canada – albeit differently from what they experienced in China. The analysis demonstrates the complexity of social marginalisation experienced by these men, the understanding of which is essential for social workers to engage in practice with them that is socially transformative.     

On the robustness of the extreme deviate test for a single multivariate outlier against heavy-tailed distributions

In this paper we assess the sensitivity of the multivariate extreme deviate test for a single multivariate outlier to non-normality in the form of heavy tails. We find that the empirical significance levels can be markedly affected by even modest departures from multivariate normality. The effects are particularly severe when the sample size is large relative to the dimension. Finally, by way of example we demonstrate that certain graphical techniques may prove useful in identifying the source of rejection for the multivariate extreme deviate test.     

Forcible,Drug-Facilitated,and Incapacitated Rape and Sexual Assault Among Undergraduate Women

Abstract

Objective: To examine the prevalence of drug-related sexual assaults, identify the frequency of assaults that occur following voluntary versus involuntary drug or alcohol consumption, and identify contextual correlates of drug-related assaults. Participants: College-student females (n = 314). Methods: Volunteers reported experiences with forcible and drug-related sexual assaults in the spring semester of 2004. Follow-up queries regarding the most severe drug-related assaults determined whether the assaults followed voluntary or involuntary alcohol or drug consumption. Results: 29.6% (n = 93) of the respondents reported a drug-related sexual assault or rape; 5.4% (n = 17) reported a forcible sexual assault or rape. Voluntary incapacitation preceded 84.6% of drug-related assaults and involuntary incapacitation preceded 15.4% of drug-related assaults. The majority of drug-related assaults (96.1%) involved alcohol consumption prior to assault. Conclusions: Drug-related sexual assaults on college campuses are more frequent than are forcible assaults and are most frequently preceded by voluntary alcohol consumption.     

CUSUM Control Charts for Multivariate Poisson Distribution

A cumulative sum control chart for multivariate Poisson distribution (MP-CUSUM) is proposed. The MP-CUSUM chart is constructed based on log-likelihood ratios with in-control parameters, Θ₀, and shifts to be detected quickly, Θ₁. The average run length (ARL) values are obtained using a Markov Chain-based method. Numerical experiments show that the MP-CUSUM chart is effective in detecting parameter shifts in terms of ARL. The MP-CUSUM chart with smaller Θ₁ is more sensitive than that with greater Θ₁ to smaller shifts, but more insensitive to greater shifts. A comparison shows that the proposed MP-CUSUM chart outperforms an existing MP chart.