Social psychopathy,social distress,family breakdown,and custody disputes in the 1990s: Implications for mental health professionals

The decade of the 1990s will probably contain more challenges to the role of the mental health practitioner in child custody cases than ever before in history. Because of increasing social stress and family disintegration, custody disputes are destined to become more frequent, bitter, and traumatic for all parties. Mental health professionals, in particular, need to develop a coherent structure regarding their own participation in this process. Issues of moral changes among our leadership and our citizenry are examined and guidelines for the behavior of the mental health practitioner in the courtroom are formulated and illustrated as they pertain to custody decisions. Particular attention is paid to custody decisions as an art rather than a science, the role of empirical research, the need to anticipate certain unintended circumstances, the need for the application of mental health principles on an individual case-by-case basis, the nature of the mental health professional's expertise, and the problems with the concepts of parental unfitness and the use of psychiatric diagnosis as a way of defining such alleged unfitness.     

Nonlinear and non-gaussian state estimation: A quasi-optimal estimator

The rejection sampling filter and smoother, proposed by Tanizaki (1996, 1999), Tanizaki and Mariano (1998) and Hiirzeler and Kiinsch (1998), take a lot of time computationally. The Markov chain Monte Carlo smoother, developed by Carlin, Poison and StofFer (1992), Carter and Kohn (1994, 1996) and Geweke and Tanizaki (1999a, 1999b), does not show a good performance depending on noniinearity and nonnormality of the system in the sense of the root mean square error criterion, which reason comes from slow convergence of the Gibbs sampler. Taking into account these problems, we propose the nonlinear and non-Gaussian filter and smoother which have much less computational burden and give us relatively better state estimates, although the proposed estimator does not yield the optimal state estimates in the sense of the minimum mean square error. The proposed filter and smoother are called the quasi-optimal filter and quasi-optimal smoother in this paper. Finally, through some Monte Carlo studies, the quasi-optimal filter and smoother are compared with the rejection sampling procedure and the Markov chain Monte Carlo procedure.     

A semigroup approach to the strong ergodic theorem of the multistate stable population process

In this paper we first formulate the dynamics of multistate stable population processes as a partial differential equation. Next, we rewrite this equation as an abstract differential equation in a Banach space, and solve it by using the theory of strongly continuous semigroups of bounded linear operators. Subsequently, we investigate the asymptotic behavior of this semigroup to show the strong ergodic theorem which states that there exists a stable distribution independent of the initial distribution. Finally, we introduce the dual problem in order to obtain a logical definition for the reproductive value and we discuss its applications.     

On a test for structural stability of euler conditions parameters estimated via the generalized method of moments estimator: small sample properties

This paper presents Monte Carlo experiments on the small sample performance of the predictive test for structural change proposed by Ghysels and Hall. The predictive test was found to be more powerful than the overidentifying restrictions test in terms of size-corrected power when a shift in parameter has occurred. Also, it was found that the power of the predictive test decreases drastically as the number of the out-sample data decreases.     

Pre-War and Post-War Lebanese Immigrants in Melbourne

The following paper forms part of a thesis on the Lebanese community in Melbourne. The Lebanese community in Australia has not been the subject of any systematic study and thus the author attempted to investigate as many facets as possible of the life style of Melbourne's Lebanese immigrants. The purpose of this paper is to examine the causes and characteristics of immigration from Lebanon to Melbourne before and after the Second World War.     

Enhancing the chances of successful OR/MS implementation: the role of the advocate

This paper extends understanding of the role of the advocate in the implementation of Operations Research/Management Science models in governmental agencies. The first part of this paper presents and analyzes the data resulting from interviews with 39 criminal justice agencies regarding the model implementation process. The interview data indicated that the advocate performed important problem-solving and mediation functions needed to introduce the technology. The second part of this paper provides a case study describing an advocate's successful introduction of a Patrol Car Allocation Model (PCAM) in the Los Angeles County Sheriff's Department. To assess the overall effectiveness of their implementation strategy, the project team conducted a questionnaire attitudinal survey of lieutenants, sergeants and officers in two of the pilot stations prior to PCAM implementation and after staffing changes. Overall, the attitude of the respondents was more favorable at the time of the second survey. The analysis of the interviews and the PCAM case study suggests a simple normative model for enhancing the chances of successful implementation of Operations Research/Management Science models.     

Moslem Arab Portrayal in the Australian Press and in School Textbooks

This paper surveys the overall characterization of Moslem Arabs and their culture as reflected by the press and in social science textbooks. Four widely circulated Melbourne newspapers and 15 of the most commonly used social science school textbooks formed the basis of content analysis. It has been found that the portrayal of Moslem Arabs was predominantly negative, involving overstatements, baseless charges and evaluative perceptions.