Fuzzy multi-objective optimization for optimum allocation in multivariate stratified sampling with quadratic cost and parabolic fuzzy numbers

This article deals with the uncertainties in a multivariate stratified sampling problem. The uncertain parameters of the problem, such as stratum standard deviations, measurement costs, travel costs and total budget of the survey, are considered as parabolic fuzzy numbers and the problem is formulated as a fuzzy multi-objective nonlinear programming problem with quadratic cost function. Using α-cut, parabolic fuzzy numbers are defuzzified and then the compromise allocations of the problem are obtained by fuzzy programming for a prescribed value of α. To demonstrate the utility of the proposed problem a numerical example is solved with the help of [LINGO User?s Guid. Lindo Systems Inc., 1415 North Dayton Street, Chicago,Illinois-60622, (USA), 2013] software and the derived compromise optimum allocation is compared with deterministic and proportional allocations.     

Percentage points of LRC for testing equality of covariance matrices under intraclass correlation structure

The exact null distribution of the likelihood ratio test statistic for testing equality of covariance matrices of q compound symmetric Gaussian models (bivariate or trivariate) has been obtained and percentage points for q ? 5 have been computed. The inverse Mellin transform and calculus of residues have been used to derive these results.     

A regression estimator for finite population mean of a sensitive variable using an optional randomized response model

Kalucha et al. (Kalucha G., Gupta S., Dass B. K. (accepted). Ratio estimation of finite population mean using optional randomized response models. Journal of Statistical Theory and Practice) introduced an additive ratio estimator for finite population mean of a sensitive variable in simple random sampling without replacement and showed that this estimator performs better than the ordinary mean estimator based on an optional randomized response technique (RRT). In this paper, we introduce a regression estimator that performs better than the ratio estimator even for the modest correlation between the study and the auxiliary variables. A comparison of the proposed estimator with the corresponding ratio estimator and the ordinary RRT mean estimator is carried out theoretically, and is also illustrated with a simulation study.     

A Note on ‘An Approximate Solution to Deterministic Systems’

In a recent paper, Moeeni and Chang (1990) presented an efficient heuristic solution method to solve a specific case of a deterministic kanban system. In this paper, we first provide a simple numerical example to show that the kanban system formulation proposed by Moeeni and Chang can result in infeasible solutions. We then present a modified formulation and show its feasibility. We discuss the implications of the corrected formulation and finally present conclusions and future research directions.     

Confounded row–column designs

Confounded row–column designs for factorial experiments are considered and a simple method of construction using the classical method of confounding is described. Partially confounded designs are also studied and a method for generating Rao's (1946) designs is presented.     

Characterization based on convex conditional mean function

This paper addresses the problem of characterizing a distribution by means of a convex conditional mean function. The characterization is proved, under mild conditions, by means of showing the uniqueness of the solution of a certain non-linear differential equation.     

Mothers’ health knowledge for children with diarrhea: who you are or who you know?

Review of Economics of the Household - This paper explores the relationship among Indian mothers’ health knowledge regarding proper treatment of diarrhea in children and caste, religion and...     

Disassembly of complex product structures with parts and materials commonality

This paper addresses the issue of parts and materials commonality when scheduling disassembly. In a disassembly environment, inventory management is complex due to the presence of multiple demand sources at the component level of the product structure. Commonality introduces a new layer of complexity by creating alternative procurement sources for the common component items. A novel scheduling algorithm is presented, followed by an example.     

Death Clustering,Mothers' Education and the Determinants of Child Mortality in Rural Punjab,India

In this paper the behavioural factors which make for continuing high levels of child mortality in rural Punjab, despite favourable conditions in terms of nutrition, income, women's literacy and health care facilities are examined. A major factor is that inadequate attention has been paid to improved health care practices within the home. Women's autonomy, social class, and mothers' education significantly influence child survival. One of the pathways by which mothers' education affects child survival is through improved child care. In this society, a woman's autonomy is lowest during that part of her life-cycle which also contains her peak childbearing years: this perverse overlap raises child mortality. The risk of dying is distributed very unevenly amongst children, as the majority of child deaths are clustered amongst a small proportion of the families. The death-clustering variable remained significant even after several possible biological and socio-economic reasons for clustering had been controlled. It is argued that this clustering of deaths is partly due to the poor basic abilities of some mothers and other carers.     

Measuring Gambling Problems Among Adolescents: Current Status and Future Directions

While there is a growing body of research concerning risk, protective and psycho-social correlates associated with youth gambling and problem gambling, our conceptualisation and measurement of adolescent problem gambling has not evolved to the same extent. This paper highlights our current understanding and measurement of adolescent problem gambling while drawing attention to recent research findings suggesting the need for the refinement of current measures and for the development of a new gold standard instrument. Recommendations and consideration for future directions are provided.