Bivariate,multivariate, and matrix variate normal characterizations: A brief survey II

The paper entitled “Bivariate and Multivariate Normal Characterizations: A Brief Survey,” by Hamedani, which was published in 1992, covered the published characterizations of bivariate and multivariate normal (MVN) distributions from 1941 to 1991. The present work is a follow-up to the 1991/1992 survey which includes not only characterizations of the bivariate and MVN distributions, but also characterizations of the matrix variate normal distribution, which have appeared from 1991/1992 to the present.     

Construction of bivariate and multivariate weighted distributions via conditioning

Weighted distributions (univariate and bivariate) have received widespread attention over the last two decades because of their flexibility for analyzing skewed data. In this article, we propose an alternative method to construct a new family of bivariate and multivariate weighted distributions. For illustrative purposes, some examples of the proposed method are presented. Several structural properties of the bivariate weighted distributions including marginal distributions together with distributions of the minimum and maximum, evaluation of the reliability parameter, and verification of total positivity of order two are also presented. In addition, we provide some multivariate extensions of the proposed models. A real-life data set is used to show the applicability of these bivariate weighted distributions.     

Some alternative bivariate Kumaraswamy models

In this article we discuss various strategies for constructing bivariate Kumaraswamy distributions. As alternatives to the Nadarajah et al. (2011) bivariate model, four different models are introduced utilizing a conditional specification approach, a conditional survival function approach, and an Arnold–Ng bivariate beta distribution construction approach. Distributional properties for such bivariate distributions are investigated. Parameter estimation strategies for the models are discussed, as are the consequences of fitting two of the models to a particular data set involving the proportion of foggy days at two different airports in Colombia.     

Risk Factors for Gambling Problems: An Analysis by Gender

Differences in problem gambling rates between males and females suggest that associated risk factors vary by gender. Previous combined analyses of male and female gambling may have obscured these distinctions. This study aimed to develop separate risk factor models for gambling problems for males and for females, and identify gender-based similarities and differences. It analysed data from the largest prevalence study in Victoria Australia (N = 15,000). Analyses determined factors differentiating non-problem from at-risk gamblers separately for women and men, then compared genders using interaction terms. Separate multivariate analyses determined significant results when controlling for all others. Variables included demographics, gambling behaviour, gambling motivations, money management, and mental and physical health. Significant predictors of at-risk status amongst female gamblers included: 18–24 years old, not speaking English at home, living in a group household, unemployed or not in the workforce, gambling on private betting, electronic gaming machines (EGMs), scratch tickets or bingo, and gambling for reasons other than social reasons, to win money or for general entertainment. For males, risk factors included: 18–24 years old, not speaking English at home, low education, living in a group household, unemployed or not in the workforce, gambling on EGMs, table games, races, sports or lotteries, and gambling for reasons other than social reasons, to win money or for general entertainment. High risk groups requiring appropriate interventions comprise young adults, especially males; middle-aged female EGM gamblers; non-English speaking populations; frequent EGM, table games, race and sports gamblers; and gamblers motivated by escape.     

Championing the interface between mental health and child protection: evaluation of a service initiative to improve joint working in northern Ireland

The importance of establishing effective inter‐agency working between adult mental health services and child care services in order to safeguard children has been repeatedly identified by research, policy, inquiries and inspection reports. This article reports on the evaluation of an initiative in one health and social care trust in Northern Ireland that aimed to facilitate joint working and so improve service provision and protection for children and families. The Champions Initiative involved identifying a Champion in each multidisciplinary community mental health team and in each family and child care team that would have responsibility for providing information, promoting joint working and identifying any obstacles to better cooperation. The evaluation of this Initiative assessed levels of experience, training, confidence, understanding and awareness in the Champions and their team members at baseline. The Champions and their Team Leaders were then followed up after six months to obtain their qualitative views of the impact of the initiative. The results include comparisons between mental health and child care staff, and crucially, views about whether the initiative has had any impact on working together. This study also generated recommendations for further service development in this complex and important area of practice. Copyright © 2010 John Wiley & Sons, Ltd.

‘Identifying a Champion in each multidisciplinary community mental health team and in each family and child care team’

Citing Literature

Number of times cited according to CrossRef: 15

• Kerry McVeigh, The Think Family Social Work Assessment: outcomes of a family-focused initiative using The Family Model, Advances in Mental Health, 10.1080/18387357.2020.1825969, (1-15), (2020). Crossref
• Billie Lever Taylor, Liberty Mosse, Nicky Stanley, Experiences of social work intervention among mothers with perinatal mental health needs, Health & Social Care in the Community, 10.1111/hsc.12832, 27 , 6, (1586-1596), (2019). Wiley Online Library
• Lelia Fitzsimons, The role of champions in promoting family focused practice across adult mental health and children's services, Advances in Mental Health, 10.1080/18387357.2019.1661783, (1-10), (2019). Crossref
• Nicky Stanley, Khatidja Chantler, Rachel Robbins, Children and Domestic Homicide, The British Journal of Social Work, 10.1093/bjsw/bcy024, 49 , 1, (59-76), (2018). Crossref
• Sanne Rumping, Leonieke Boendermaker, Doret J. Ruyter, Stimulating interdisciplinary collaboration among youth social workers: A scoping review, Health & Social Care in the Community, 10.1111/hsc.12589, 27 , 2, (293-305), (2018). Wiley Online Library
• Robin Mason, Janice Du Mont, Maeve Paterson, Ilene Hyman, Experiences of child protection workers in collaborating with adult mental health providers: An exploratory study from Ontario, Canada, Children and Youth Services Review, 10.1016/j.childyouth.2018.02.005, 86 , (271-276), (2018). Crossref
• Andani Thakhathi, Champions of Change and Organizational Development: A Return to Schön and Typology for Future Research and Practice, Research in Organizational Change and Development, 10.1108/S0897-301620180000026007, (265-306), (2018). Crossref
• Phillip Tchernegovski, Andrea E. Reupert, Darryl J. Maybery, How do Australian adult mental health clinicians manage the challenges of working with parental mental illness? A phenomenological study, Child & Family Social Work, 10.1111/cfs.12426, 23 , 3, (381-389), (2017). Wiley Online Library
• Eeva Timonen-Kallio, Juha Hämäläinen, Eila Laukkanen, Interprofessional Collaboration in Finnish Residential Child Care: Challenges in Incorporating and Sharing Expertise Between the Child Protection and Health Care Systems, Child Care in Practice, 10.1080/13575279.2016.1158153, 23 , 4, (389-403), (2016). Crossref
• Barry Luckock, Jane Barlow, Chris Brown, Developing innovative models of practice at the interface between the NHS and child and family social work where children living at home are at risk of abuse and neglect: a scoping review, Child & Family Social Work, 10.1111/cfs.12228, 22 , S4, (62-69), (2015). Wiley Online Library
• Joe Duffy, Gavin Davidson, Damien Kavanagh, Applying the recovery approach to the interface between mental health and child protection services, Child Care in Practice, 10.1080/13575279.2015.1064358, 22 , 1, (35-49), (2015). Crossref
• Estela Arcos, Ximena Sanchez, Maria Cecilia Toffoletto, Margarita Baeza, Patricia Gazmuri, Luz Angélica Muñoz, Antonia Vollrath, Social protection systems in vulnerable families: their importance for the public health, Revista de Saúde Pública, 10.1590/S0034-8910.2014048005131, 48 , 3, (398-405), (2014). Crossref
• Oi Ling Wong, Integrative Family and Systems Treatment with Parental Mental Illness: A Hong Kong Chinese Family, Contemporary Family Therapy, 10.1007/s10591-014-9298-2, 36 , 2, (242-249), (2014). Crossref
• Peter Sidebotham, Rethinking Filicide, Child Abuse Review, 10.1002/car.2303, 22 , 5, (305-310), (2013). Wiley Online Library
• Jane V. Appleton, Peter Sidebotham, Child Protection and Mental Health, Child Abuse Review, 10.1002/car.2220, 21 , 3, (153-156), (2012). Wiley Online Library

Volume 21 , Issue 3 May/June 2012

Pages 157-172     

秋阳·创巴活佛对于藏传佛教西方传播的贡献

2014年是秋阳·创巴活佛圆寂二十七周年。他是二十世纪以来将藏传佛教佛法传播至西方世界的开拓性重要人物。他非凡的人生经历和佛法教导内容,至今仍在塑造并影响藏传佛教全球化的发展传播。     

SELECTING PARAMETERS FOR SHORT-TERM FORECASTING TECHNIQUES

The objective of this paper is to discover which of three forecasting modes used to select parameters for four short-term forecasting techniques minimizes errors. The study also examines whether the amount of historical data used to find parameters contributes to forecasting success. The results show the traditional one-ahead search routine works well in some, but not all, forecasting situations. Also, forecasting errors appear to decline when more historical data are included in the parameter search.     

Conditional moving linear regression: Modeling the recruitment process for ALLHAT

Effective recruitment is a prerequisite for successful execution of a clinical trial. ALLHAT, a large hypertension treatment trial (N = 42,418), provided an opportunity to evaluate adaptive modeling of recruitment processes using conditional moving linear regression. Our statistical modeling of recruitment, comparing Brownian and fractional Brownian motion, indicates that fractional Brownian motion combined with moving linear regression is better than classic Brownian motion in terms of higher conditional probability of achieving a global recruitment goal in 4-week ahead projections. Further research is needed to evaluate how recruitment modeling can assist clinical trialists in planning and executing clinical trials.     

畜牧业改变气候——澳洲打响同牲畜的减排战斗

有许多众所周知的方法可以减少二氧化碳的排放,例如:减少石化燃料的使用、使用太阳能或风力等再生能源、开省油的车子或替代能源车、使用省电的电子产品,并切实做到减量、重复使用和回收等。然而,当前有关全球变暖的辩论几乎都集中在能源及交通运输方面。