Wellbeing in China

Partial order methodologies appear as advantageous tools to disclose evaluative trends and developments for time series as, e.g., the fragile states index (FSI). The present study focuses on the variations in the 12 individual indicators of the FSI over the years 2011–2015. The FSI includes in total 178 states and the present study analyzes both the full set of states and a subset comprising only the 28 European Union states. Clear trends are observed. Thus, on a global scale the primary importance of brain drain apparently is turned into group grievance whereas on the European scale the development discloses the increased problems associated with the increasing number of refugees and migrants as well as the declining economic situation in some states. Further the study discloses a series of so-called peculiar states, i.e., states where single indicators values are markedly higher or lower than expected when comparing to the “main stream” of indicator values for the states studied. In all cases the findings were substantiated and verified by available literature.     

Multidimensional Measures of Female Disempowerment

This study offers a new methodology to measure female disempowerment, where such individuals are denied the liberty of making fundamental life choices, with techniques that have been developed exclusively to measure social deprivation. These multidimensional indicators have been applied to calculate statistics in India at state, regional and national levels, and have provided quantifiable statistics with which to assess regional diversity in gender equity in India. Further, the decomposability property of these indicators have allowed for the identification of those regions (or states) and decisions categories that have contributed more than others to the total disempowerment of women.     

Poisson-mixed Inverse Gaussian Regression Model and Its Application

In this article, we have developed a Poisson-mixed inverse Gaussian (PMIG) distribution. The mixed inverse Gaussian distribution is a mixture of the inverse Gaussian distribution and its length-biased counterpart. A PMIG regression model is developed and the maximum likelihood estimation of the parameters is studied. A dataset dealing with the number of hospital stays among the elderly population is analyzed by using the PMIG and the PIG (Poisson-inverse Gaussian) regression models and it has been shown that the PMIG model fits the data better than the PIG model.     

A Development Delivery Institution for the Tribal Communities: Experience of the National Rural Employment Guarantee Scheme in India

This article examines the varied impacts of the National Rural Employment Guarantee Scheme (NREGS) as a development delivery institution for the tribal communities vis‐à‐vis other social groups across the Indian States, using the framework of new institutional economics. A number of State‐specific, socio‐economic institutional factors seem to be responsible for these variations. The article therefore suggests institutional reforms and convergence of the development initiatives of the Ministry of Tribal Affairs with the NREGS in order to realise the optimal potential of the scheme, and, in particular, to ensure greater livelihood opportunities for these marginalised groups and their entitlement to productive resources with greater socio‐economic and political empowerment.     

On gehan's wilcoxon and the accelerated failure time model

A proof is provided to show that Gehan's 1965 generalization of the two sample Wilcoxon test lies outside the class of efficient score procedures for right censored data (Prentice 1978).     

Another generalization of the logarithmic series and the geometric distributions

A new generalization of the logarithmic series distribution is presented based on a generalized negative binomial distribution obtained from a generalized Poisson distribution compounded with the truncated gamma distribution. By length biasing this generalized log-series distribution, another generalized geometric distribution is uresented. For the generalized log-series distribution, maximum likelihood estimators are developed and an example is presented for illustration.     

A generalised bivariate binomial distribution applicable in four-fold sampling

A bivariate generalisation of the Consul's(1974) quasi-binomial distributionCQBD) has been obtained with the help of an urn-model for eKplaining data obtained as a result of four-fold sampling, The distribution is expected to cover a very wide range of situations in four-fold sampling. The first and the second order moments of the distribution have been obtained,The distribution has been fitted to an observed set of data as an illustration and its limiting form has also been obtained.     

Estimation of reliability under ordered restriction on the parameters

This paper deals with the estimation of reliability for a strength-stress model under ordered restriction on the parameters. It is assumed that components have exponential distributions and are arranged in a parallel system and the failure of one component, results in increasing the failure rate of the remaining components. Results are derived when (i) the ordering of the means is taken into account and when (ii) the ordering of the means is ignored. Simulation studies are carried out to compare the results. It is noticed that, in almost all cases, in case (i) the estimates are closer to the true value with smaller mean squared error (MSE) and smaller’ standard deviation than in case (ii). Thus when the ordering of the means is present in the model, such information should be incorporated in the estimation of reliability.     

A small sample test for an absolutely continuous bivariate exponential model

The finite sample distribution of the likelihood ratio sta-tistic is obtained for testing independence, given marginal homo-geneity, in the absolutely continuous bivariate exponential distri-bution of Block and Basu (1974). This test is discussed in light of the analysis of Gross and Lam (1981) on times to relief of head-aches for standard and new treatments on ten subjects.