Gambling and Problem Gambling Among Recently Sentenced Women in New Zealand Prisons

Ninety-four recently sentenced women prisoners were interviewed to assess aspects of their gambling involvement, problem gambling and relationships between gambling and criminal offending. A third of the women, on the basis of their SOGS-R scores, were assessed as lifetime probable pathological gamblers and just under a quarter were assessed as probable pathological gamblers during the 6 months prior to imprisonment. For women prisoners, a preference for non-casino gaming machines and housie were predictive of problem gambling. Relative to non-problem gamblers, problem gamblers experienced higher rates of childhood conduct disorder and current non-psychotic mental disorder. Just over a quarter of prisoners and a half of the problem gamblers had committed a crime to obtain money to gamble. Few women said their early offending or convictions related to gambling. It was concluded that most women were “criminals first and problem gamblers second” rather than people whose offending careers commenced as a consequence of problem gambling. However, the extent of problem gambling-related offending among the women prisoners highlights the potential for comprehensive assessment and treatment programs in prison to reduce recidivism and other adverse impacts of problem gambling and gambling-related offending.     

Toward a Descriptive Model of Humanitarian Assistance Coordination

This paper argues that the operating environment of humanitarian assistance is best conceived as an interorganizational social network or regime and that the problem of power and authority in such situations must be re-founded or reconceived accordingly. This contention is developed to contribute to an important ongoing dialogue among analysts concerning how humanitarian aid may most effectively be delivered in the context of a realistic appraisal of the structural and operating conditions in which it is offered. The paper first outlines the primary elements of the organizational environment in which humanitarian efforts must proceed, next suggests a way of thinking about how one might conceive of those conditions that builds on recent work, and then sketches the elements of a strategic contingency approach to the humanitarian assistance coordination dilemma. This analytical frame leads one to rethink assumptions concerning how best to conceptualize both the environment and the behavior of humanitarian organizations engaged in providing assistance in emergency situations and to suggest that theory building for this domain of study should now turn to a network-based and strategically contingent perspective for its foundation.

Cramér-Rao lower bounds for estimators based on censored data

The Cramér-Rao lower bounds for the variances of unbiased estimators based on censored data are given. Useful techniques of evaluation are then derived for these lower bounds. Examples are given to illustrate these techniques. Small-sample comparisons are made between the resulting lower bounds, the variances of the best linear unbiased estimators, and the variances of unbiased esti-mators which are based on the maximum likelihood estimators.     

A review of model selection procedures relevant to the weibull distribution

A number of goodness-of-fit and model selection procedures related to the Weibull distribution are reviewed. These procedures include probability plotting, correlation type goodness-of-fit tests, and chi-square goodness-of-fit tests. Also the Kolmogorow-Smirniv, Kuiper, and Cramer-Von Mises test statistics for completely specified hypothesis based on censored data are reviewed, and these test statistics based on complete samples for the unspecified parameters case are considered. Goodness-of-fit tests based on sample spacings, and a goodness-of-fit test for the Weibull process, is also discussed.

Model selection procedures for selecting between a Weibull and gamma model, a Weibull and lognormal model, and for selecting from among all three models are considered. Also tests of exponential versus Weibull and Weibull versus generalized gamma are mentioned.     

More flexible sequential and non-sequential designs in long-term clinical trial

In this paper, we describe decision making procedures as they exist in most clinical trials,review some recently suggested approaches to monitoring and clarify how these methods allow greater flexibility in monitoring and explicit specification of data monitoring methods in the protocol.     

Comparison of conditional and unconditional confidence intervals for the double exponential distribution

Conditional confidence intervals for the location parameter of the double exponential distribution based on maximum likelihood estimators conditioned on a set of ancillary statistics and the corresponding unconditional confidence intervals based on the maximum likelihood estimators alone are compared in two ways. Monte Carlo techniques are used and the conditional approach appears to give slightly better results although agreement as n becomes larger is noted     

An Interesting Property of the Sample Mean under a First-Order Autoregressive Model

The unweighted sample mean is examined as an estimator of the population mean in a first-order autoregressive model. It is demonstrated that the precision of this estimator deteriorates as the number of equally spaced observations taken within a fixed time interval increases.     

American Statistical Association Style Guide

This article contains the American Statistical Association Style Guide published in The American Statistician volume 40 issue 1, in 1986. To see the current version of the style guide please click here.