‘The politics of free speech’

The present article addresses the support and supervisional relations of Palestinian Israeli single mothers vis-à-vis their families and communities. It links the theoretical discussion on intersectional analysis with power relations and gender. In this article I focus on the importance of employing analytical models that take into consideration the internal variance within this social category of ‘Palestinian Israeli single mothers' which emerge due to the contradictory social trends typifying Palestinian society in Israel today – models that examine the implications of the complexity of women's lives in discrete locations, the changes society is undergoing, together with processes of discrimination and the strengthening of conservative trends. The article is based on data gathered during in-depth, semi-structured interviews that were conducted and analyzed with a commitment to the principles of feminist research.     

Towards (Re)Conciliation: The Post-Colonial Economy of Giving

In this paper the author argues that the Chinese theory of All-under-Heaven is the best philosophy for world governance. All-under-Heaven is a deep world concept with a trinity of meanings: the earth, people's hearts and a world institution. And it introduces a political principle, ‘world-ness’, that arguably transcends the principle of ‘internationality’. The author argues that the theory of All-under-Heaven is a more appropriate ‘world theory’ than ‘international theory’ in dealing with world problems. The author also considers the philosophies of the UN and EU.     

A family of efficient estimators of the finite population mean in simple random sampling

In this paper an estimator of the finite population mean using auxiliary information in sample surveys has been proposed. The bias and mean squared error are obtained under large sample approximation. It has been shown that the proposed estimator performs better than some recently published estimators.     

Second-order properties of intraclass correlation estimators for a symmetric normal distribution

Consider the problem of estimating the intraclass correlation coefficient of a symmetric normal distribution under the squared error loss function. The general admissibility of the standard estimators of the intraclass correlation coefficient is hard to check due to their complicated sampling distributions. We follow the asymptotic decision-theoretic approach of Ghosh and Sinha (1981) and prove that the three standard intraclass correlation estimators (the maximum-likelihood estimator, the method-of-moments estimator and the first-order unbiased estimator) are second-order admissible for all p ≥ 2, p being the dimension of the distribution.     

Estimation of a normal variance—A critical review

Consider the problem of estimating the variance based on a random sample from a normal distribution with unknown mean. In this article we review the rich literature developed over the last three decades on the problem of variance estimation in a decision theoretic setup. While examining the developments we point out a few errors that exist in the literature.     

Optimum Mixture Design for the Detection of Synergistic Effects

In mixture experiments, optimal designs for the estimation of parameters, both linear and non-linear, have been discussed by several authors. Optimal designs for the estimation of a subset of parameters have also been investigated. However, designs for testing the effects of certain factors and interactions have been studied only in the context of response surface models. In this article, we attempt to find the optimum design for testing the presence of synergistic effects in a mixture model. The classical F-test has been considered and the optimum design has been obtained so as to maximize the power of the test. It is observed that the barycenters are necessarily the support points of the trace-optimal design.     

On location and scale parameters of exponential distributions with censored observations

In this paper we first address the problem of estimating the common scale of several exponential distributions with unknown location parameters when censored samples are observed. The improved estimators are basically Stein type testimators. These testimators are then used to construct improved estimators of location parameters.