Parental reactions to developmental disabilities in Chinese American families

Families of Chinese American children with mental retardation and developmental disabilities were interviewed regarding their attitudes and coping experiences. Chinese American parents, like other American parents, reacted to the crisis with intense feelings and needs. The parents revealed a lack of knowledge and understanding of the diagnosis. Chinese belief systems about health and illness were present in the parents' concepts of causation and treatment.Hunter College School of Social Work.     

Ecological Concern, Attitudes, and Social Norms in Voting Behavior

Using a theoretical framework not previously tested in environmentalresearch, this study investigates the indirect relationshipbetween ecological concern and voting behavior. Results indicatethat the effects of ecological concern are mediated by attitudinal,normative, and behavioral intention variables. The results alsoprovide a partial test of the validity of Ajzen and Fishbein'sTheory of Reasoned Action. Key environmental, public policy,and communications implications are discussed.     

Conflicts inherent in Corporate Codes

Codes of Conduct have enjoyed a long history as guides to human behavior. Corporate Codes of Conduct enjoy significant popularity in the U.S. and U.K. This article examines Codes in terms of their evolution (history), expectations (from possible to impossible), and enforcement (the area of greatest difficulty). The article examines trends in Corporate Codes and defines Codes as one aspect of developing corporate conscience. The article concludes with the view that useful as Codes may be, the inherent problem with Codes has been their separation over time from a moral foundation or philosophical base.     

On the Bias of the Maximum Likelihood Estimator for the Two-Parameter Lomax Distribution

The Lomax (Pareto II) distribution has found wide application in a variety of fields. We analyze the second-order bias of the maximum likelihood estimators of its parameters for finite sample sizes, and show that this bias is positive. We derive an analytic bias correction which reduces the percentage bias of these estimators by one or two orders of magnitude, while simultaneously reducing relative mean squared error. Our simulations show that this performance is very similar to that of a parametric bootstrap correction based on a linear bias function. Three examples with actual data illustrate the application of our bias correction.     

Asymptotically Optimal Nonparametric Empirical Bayes Via Predictive Recursion

An empirical Bayes problem has an unknown prior to be estimated from data. The predictive recursion (PR) algorithm provides fast nonparametric estimation of mixing distributions and is ideally suited for empirical Bayes applications. This article presents a general notion of empirical Bayes asymptotic optimality, and it is shown that PR-based procedures satisfy this property under certain conditions. As an application, the problem of in-season prediction of baseball batting averages is considered. There the PR-based empirical Bayes rule performs well in terms of prediction error and ability to capture the distribution of the latent features.     

Bias reduction for the maximum likelihood estimator of the doubly-truncated Poisson distribution

ABSTRACT

We derive an analytic expression for the bias of the maximum likelihood estimator of the parameter in a doubly-truncated Poisson distribution, which proves highly effective as a means of bias correction. For smaller sample sizes, our method outperforms the alternative of bias correction via the parametric bootstrap. Bias is of little concern in the positive Poisson distribution, the most common form of truncation in the applied literature. Bias appears to be the most severe in the doubly-truncated Poisson distribution, when the mean of the distribution is close to the right (upper) truncation.     

A one-sided test for testino homogeneity of scale parameters against simple ordered alternative

In an earlier paper the authors (1997) extended the results of Hayter (1990) to the two parameter exponential probability model. This paper addressee the extention to the scale parameter case under location-scale probability model. Consider k (k≧3) treatments or competing firms such that an observation from with treatment or firm follows a distribution with cumulative distribution function (cdf) F_i(x)=F[(x-μ_i)/Q_i], where F(·) is any absolutely continuous cdf, i=1,…,k. We propose a test to test the null hypothesis H₀:θ₁=…=θ_k against the simple ordered alternative H₁:θ₁≦…≦θ_k, with at least one strict inequality, using the data X_i,j, i=1,…k; j=1,…,n₁. Two methods to compute the critical points of the proposed test have been demonstrated by talking k two parameter exponential distributions. The test procedure also allows us to construct simultaneous one sided confidence intervals (SOCIs) for the ordered pairwise ratios θ_j/θ_i, 1≦i<j≦k. Statistical simulation revealed that: 9i) actual sizes of the critical points are almost conservative and (ii) power of the proposed test relative to some existing tests is higher.