On the minimum mean squared error estimators in a regression model

In this paper we analyze the properties of two estimators oroposed by Farebrother (1975) for linear regression models.     

Transformed ratio type estimators for the population mean in the presence of nonresponse

In this paper we have proposed two transformed ratio type estimators for the populaion mean in presence of non-response. The proporties of these estimators are studied in the case of a Unite population and also through the superpopulation model Approach.     

The existence of the mean of the estimator in seemingly unrelated regressions

The purpose of this note is to spell out the conditions for the existence of the mean of the coefficient; estimator in seemingly unrelated regressions.     

Complementary effects of clusters and networks on firm innovation: A conceptual model

We develop a conceptual model that explains how a firm's cluster and network complement each other in enhancing the firm's likelihood of technological innovations. We identify critical innovation catalysts-awareness and motivation—and innovation barriers—resource constraints, organizational rigidity, and uncertainty. Our conceptual model explains how various factors in the cluster such as competitive intensity, social interaction intensity, and cluster vitality and network factors such as resource potential, acquisition orientation, co-development orientation, and network vitality impact innovation catalysts and barriers and subsequently the firm's likelihood of generating incremental and breakthrough innovations. We discuss several promising avenues for future research.     

Foreword (and Preface)

We present new algorithms for computing the exact distributions and p-values of quadratic t-sample distribution-free statistics of Kruskal–Wallis type. These algorithms are presented in terms of generating functions. We show that our algorithm also works for cases with ties and that it is much faster than existing algorithms. Moreover, we show how to use the results for the Kruskal–Wallis type statistics to compute the exact null distribution of the Chacko–Shorack statistic.     

Testing sphericity and intraclass covariance structures under a growth curve model in high dimension

In this article, we consider the problem of testing (a) sphericity and (b) intraclass covariance structure under a growth curve model. The maximum likelihood estimator (MLE) for the mean in a growth curve model is a weighted estimator with the inverse of the sample covariance matrix which is unstable for large p close to N and singular for p larger than N. The MLE for the covariance matrix is based on the MLE for the mean, which can be very poor for p close to N. For both structures (a) and (b), we modify the MLE for the mean to an unweighted estimator and based on this estimator we propose a new estimator for the covariance matrix. This new estimator leads to new tests for (a) and (b). We also propose two other tests for each structure, which are just based on the sample covariance matrix.

To compare the performance of all four tests we compute for each structure (a) and (b) the attained significance level and the empirical power. We show that one of the tests based on the sample covariance matrix is better than the likelihood ratio test based on the MLE.     

Comparison of estimators of interclass and intraclass correlations from familial data

When familles have different numbers of offspring, Srivastava (1984) gave an alternative approach to deriving the maximum-likelihood estimators of inter- and intraclass correlations, which requires solving only one equation. Since the procedure is iterative and requires considerable computation, several alternative estimators have been proposed in the literature. In this paper, a comparison is made between the maximum-likelihood estimator and two alternative estimators proposed by Srivastava (1984). By obtaining the asymptotic normal distributions of the estimators, it is shown that one of the easily computable estimators is comparable to the maximum-likelihood estimator.     

Song and Dance?: The Performance of Antiracist Workshops*

Les ateliers visant à combattre le racisme se sont imposés de plus en plus au sein de divers organismes; ils constituent une importante façon d'analyser les rapports de force qui, sur place, ont pris une couleur raciale. En examinant la méthodologie des ateliers, celle qui invite les participants à livrer leurs expériences personnelles d'incidents à caractère raciste, nous examinerons comment on aborde les sujets d'identité raciale, de racisme et d'antiracisme, comment ces mêmes concepts sont intégrés dans la pensée collective et comment ils sont appliqués à léchelle sociale. La méthodologie qui consiste à circonscrire les témoignages et à en établir les relations est comparée à celle, analogue, des politiques et pratiques du multiculturalisme institutionnalisé. Nous proposons donc de nouveaux modèles d'intervention, y compris un modèle d'atelier sur l'antiracisme qui tire parti des politiques de coalition et de leur application pratique. Because of their increasing presence in a variety of organizations, antiracist workshops have been significant in the recent history of antiracism, and are an important site for analysing local, racialized power relations. By reflecting on workshop practices that emphasize disclosure and display of personal experiences of racism, we may raise questions about how knowledge of racial identities, racism and antiracism is locally produced, understood, defined and circumscribed. The relations and confinements of representation in these workshop practices are compared to the similar tendencies of multiculturalist practice and policy. The alternatives suggested by this critique are also explored, including a model of antiracist workshops based on practical coalition politics.