The classical canonical correlation analysis is extremely greedy to maximize the squared correlation between two sets of variables. As a result, if one of the variables in the dataset-1 is very highly correlated with another variable in the dataset-2, the canonical correlation will be very high...

In this paper we test a particular variant of the (Repulsive) Particle Swarm method on some rather difficult global optimization problems. A number of these problems are collected from the extant literature and a few of them are newly introduced. First, we introduce the Particle Swarm method of...

Development of village, micro and small enterprises in India has a special significance with regard to bridging up the disparities between urban and rural sectors of the economy on the one hand and the more industrialized and the less industrialized states on the other. It would also channelize...

Professor Narmadeshwar Jha was a noted scholar on History of Economic Thought that took its shape under the influence of Alfred Marshall. His widely referred book - The Age of Marshall: Aspects of British Economic Thought, 1890-1915 – was written under the supervision of Professor A.J. Brown...

This study is an investigation into the real wage rates of casual labourers in Shillong, the capital city of Meghalaya. First, trends in nominal wages during 1997-2000 have been studied. Then the consumption expenditure of casual labourers on wage goods is analysed and finally, changes in prices...

This paper aims at comparing the performance of the Differential Evolution (DE) and the Repulsive Particle Swarm (RPS) methods of global optimization. To this end, some relatively difficult test functions have been chosen. Among these test functions, some are new while others are well known in...

Meghalaya, a state in the North Eastern India, is inhabited by over 2.3 million of population of which 70 percent are Christian, 13 percent are Hindus and a little over 4 percent are Muslims as obtained in the Census 2001. In this study we investigate if numerical dominance of a community leads...

Correlation matrices have many applications, particularly in marketing and financial economics. The need to forecast demand for a group of products in order to realize savings by properly managing inventories requires the use of correlation matrices. In many cases, due to paucity of...

Social sector with the objective to satisfy the welfare needs of the people and to correct the imbalances in the economy claims a sizeable proportion of the public expenditure and has emerged as a significant sector. This paper in this regard is a state level analysis on the growth of public...

In simulation we often have to generate correlated random variables by giving a reference intercorrelation matrix, R or Q. The matrix R is positive definite and a valid correlation matrix. The matrix Q may appear to be a correlation matrix but it may be invalid (negative definite). With R(m,m)...