After coming out: Parental acceptance of young lesbian and gay people

This study examines extant scholarly knowledge on parental acceptance of young lesbian and gay people in traditional heteronormative families. Recent literature shows that parents generally accept their lesbian and gay children. However, parents do not always accept them immediately after they come out. Acceptance takes time, and transitioning to acceptance is often a complex process that depends on parents' access to the necessary resources for coping with the stresses of knowing that their child identifies as lesbian or gay. These resources include counseling or therapy, supportive friends and extended family, and a network of other parents with lesbian and gay children. This study also highlights the need for further research on parental acceptance in nontraditional families and of children with other nonheterosexual identities, such as asexuality, gray ace, bisexuality, or pansexuality. It also calls for an exploration of the complexities of parental acceptance as an ongoing process rather than as a singular event.     

Empirical Bayes estimation in finite population sampling under functional measurement error models

The paper considers simultaneous estimation of finite population means for several strata. A model-based approach is taken, where the covariates in the super-population model are subject to measurement errors. Empirical Bayes (EB) estimators of the strata means are developed and an asymptotic expression for the MSE of the EB estimators is provided. It is shown that the proposed EB estimators are “first order optimal” in the sense of Robbins [1956. An empirical Bayes approach to statistics. In: Proceedings of the Third Berkeley Symposium on Mathematical Statistics and Probability, vol. 1, University of California Press, Berkeley, pp. 157–164], while the regular EB estimators which ignore the measurement error are not.     

The IPO phenomenon in the 1990s

Initial Public Offerings (IPOs) were the most prevalent form of securities issued to raise capital by firms wanting to go public during the last decade (1990–2000) in the United States. The IPO phenomenon got a tremendous boost during the late 1990s by the popularity of the Internet stocks. In the so-called ‘bubble period’ of 1998–1999, hardly a week went by when one or two IPOs, particularly of the Internet variety, did not appear in the capital market. In this paper we have analyzed the IPO phenomenon during 1990–1995 and during 1996–1999. We have also focused on Internet bubble during 1998–1999, and the IPO meltdown after March 2002. We have found that not all IPOs performed well in 1999, the majority of the 25 IPOs that had the highest first-day gains over 200% in 1999 had also a poor performance record during 2001–2002. As the IPOs issued now are few in number, we may not see the kind of ‘irrational exuberance’ as we witnessed in the late 1990s, for the foreseeable future in the United States.     

On some consistent tests of mutual independence among several random vectors of arbitrary dimensions

Statistics and Computing - Testing for mutual independence among several random vectors is a challenging problem, and in recent years, it has gained significant attention in statistics and machine...     

An Examination of the Effect of Continuous Quality Improvements on Optimal Pricing for Durable Goods*

This paper investigates the nature of optimal prices for a durable good in the presence of continuous quality improvements. The analysis of optimal prices is based on a nonlinear dynamic model of sales response that relates price, quality, average life of a product and the persistence of quality perceptions. Numerical solutions to the model are derived by employing the generalized reduced gradient algorithm. The results show that optimal price depends on the persistence of quality perceptions and the average life of a product (an aspect of quality). The analysis of optimal results affirms results based on other models and provides insights on the influence that quality has on optimal pricing. The implications of the results and suggestions for future research are discussed.     

Analysis of microtubule dynamics using growth curve models

Microtubules are part of the structural network within a cell's cytoplasm, providing structural support as well as taking part in many of the cellular processes. A large body of data provide evidence that dynamics of microtubules in a cell is reponsible for the performance of many critical cellular functions such as cell division. In this article, we study the effect of four different isoforms of a protein tau on microtubule dynamics using growth curve models. The results show that a linear growth curve model is sufficient to explain the data. Moreover, we find that a mutated version of a 3-repeat tau protein has a similar effect as a 4-repeat tau protein on microtubule dynamics. The latter findings conform with the biological understanding of the effect of the protein tau on microtubule dynamics.     

Religion,Contraceptive Method Mix,and Son Preference Among Bengali-Speaking Community of Indian Subcontinent

This paper examines the influence of religion on contraceptive method mix in the context of son preference among Bengali-speaking population of eastern India (i.e., West Bengal and Tripura) and Bangladesh. In spite of cultural similarity and parallel programmatic approach to family planning in these two distinct geopolitical spaces, differential use of contraception is evident. Using National Family Health Survey (2005–2006) and Bangladesh Demographic Health Survey (2007) and by employing sequential logit model, the paper finds evidence of latent son preference in adoption of modern contraception in Bengali-speaking Hindu and Muslim communities of eastern India. However, such practice is observed only among Hindus in Bangladesh. The paper further argues that although diffusion of the culture of son preference cuts across religious groups among Bengali-speaking community in eastern India, religious identity dominates over region in Bangladesh, encouraging minority Hindus to adopt a distinct pattern of contraceptive behavior with reference to sons. Such finding calls for further research in understanding the pros and cons of behavioral diffusion in majority–minority population mix in similar tradition and culture.     

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.