Family migration and the economic status of women in Malaysia

"The impact of family migration on women's economic position in a developing country setting is an area that has received relatively little research attention. Incorporating a lifetime perspective, this study makes use of the retrospective migration histories of husbands and wives from the second round of the Malaysian Family Life Survey to estimate how joint migration with the husband affects women's socioeconomic achievement. The findings show that family migration depresses the chances of working, but it does not significantly reduce socioeconomic attainment of those who do work. However, when a woman migrates with her husband she does forgo the substantial advantage she could have derived had she moved alone."     

Religion,Contraceptive Method Mix,and Son Preference Among Bengali-Speaking Community of Indian Subcontinent

This paper examines the influence of religion on contraceptive method mix in the context of son preference among Bengali-speaking population of eastern India (i.e., West Bengal and Tripura) and Bangladesh. In spite of cultural similarity and parallel programmatic approach to family planning in these two distinct geopolitical spaces, differential use of contraception is evident. Using National Family Health Survey (2005–2006) and Bangladesh Demographic Health Survey (2007) and by employing sequential logit model, the paper finds evidence of latent son preference in adoption of modern contraception in Bengali-speaking Hindu and Muslim communities of eastern India. However, such practice is observed only among Hindus in Bangladesh. The paper further argues that although diffusion of the culture of son preference cuts across religious groups among Bengali-speaking community in eastern India, religious identity dominates over region in Bangladesh, encouraging minority Hindus to adopt a distinct pattern of contraceptive behavior with reference to sons. Such finding calls for further research in understanding the pros and cons of behavioral diffusion in majority–minority population mix in similar tradition and culture.     

Development of an integrated information management model: A case of textile industry

For past two decades many organisations have tried to implement integrated information management systems for better production management based on co-ordination of information and therefore activities of different departments. Although Enterprise Resource Planning systems have been in the market for the past decade, many industries find it difficult to implement such systems due to the amount of work involved in streamlining the documentation, customisation and of high costs reported in implementation. An attempt is made through this paper to propose an integrated model, which can be easily understood by production personnel, with specific emphasis on the textile sector.     

On indices of marginal and total production cost

In this paper we suggest cost indices that measure absolute changes in total and marginal production costs between two periods when factor prices change. The class of cost functions that generate equal total and marginal cost indices is characterized. A numerical illustration of the indices is provided using Indian cotton textile industry data.     

Clustering large number of extragalactic spectra of galaxies and quasars through canopies

Abstract

Cluster analysis is the distribution of objects into different groups or more precisely the partitioning of a data set into subsets (clusters) so that the data in subsets share some common trait according to some distance measure. Unlike classification, in clustering one has to first decide the optimum number of clusters and then assign the objects into different clusters. Solution of such problems for a large number of high dimensional data points is quite complicated and most of the existing algorithms will not perform properly. In the present work a new clustering technique applicable to large data set has been used to cluster the spectra of 702248 galaxies and quasars having 1,540 points in wavelength range imposed by the instrument. The proposed technique has successfully discovered five clusters from this 702,248X1,540 data matrix.     

Gammaization and wishartness of dependent quadratic forms

In this paper two equivalent sets of necessary and sufficient conditions are derived for dependent quadratic forms to be distributed as multivariate gamma distribution. The procedure also gives a set of necessary and sufficient conditions for principal minors of generalized quadratic forms to be jointly distributed as the joint distribution of principal minors of a Kishart matrix.     

Clustering of gamma-ray bursts through kernel principal component analysis

We consider the problem related to clustering of gamma-ray bursts (from “BATSE” catalogue) through kernel principal component analysis in which our proposed kernel outperforms results of other competent kernels in terms of clustering accuracy and we obtain three physically interpretable groups of gamma-ray bursts. The effectivity of the suggested kernel in combination with kernel principal component analysis in revealing natural clusters in noisy and nonlinear data while reducing the dimension of the data is also explored in two simulated data sets.     

Mumbai after 26/7 Deluge: Issues and Concerns in Urban Planning

There has been euphoria among the government circles recently to develop Mumbai as a world-class city before the 26/7 floods hit the city. The cities like Shanghai or Singapore were often cited as benchmarks for planning and development of Mumbai in the next decade. However, the dream has been shattered by the unprecedented flood of July 26. Lack of urban planning, unprecedented rains and the failure of the early warning system are some of the important factors for the tragedy. It is the time that Mumbai’s planning and developmental discourses can be unshackled from an illusion of Shanghai or Singapore.     

Three-stage and accelerated sequential point estimation of the normal mean using LINEX loss function

Consider a normal population with unknown mean μ and unknown variance σ². We estimate μ under an asymmetric LINEX loss function such that the associated risk is bounded from above by a known quantity w. This necessitates the use of a random number (N) of observations. Under a fairly broad set of assumptions on N, we derive the asymptotic second-order expansion of the associated risk function. Some examples have been included involving accelerated sequential and three-stage sampling techniques. Performance comparisons of these procedures are considered using a Monte-Carlo study.