Median, a well known measure of central tendency, of a sample data x =(x1, x2, ... ,xn) is obtained through the traditional method as (xn-m + xm+1)/2, where m= int(n/2) and values of x are arranged in ascending (descending) order. Since, for odd n, n-m=m+1, the formula uses only one value from...

Econometricians generally take for granted that the error terms in the econometric models are generated by distributions having a finite variance. However, since the time of Pareto the existence of error distributions with infinite variance is known. Works of many econometricians, namely, Meyer...

This paper generalizes the method of Indirect Least Squares (ILS) and shows that such a generalization, call it the Generalized Indirect Least Squares (GILS), yields Two-Stage Least Squares (2-SLS) under the zero restriction on some structural coefficients characterizing over-identification

This paper proposes an algorithm to fit an Archimedean spiral in the sample data obtained empirically. A Monte Carlo experiment has been carried out to assess the efficacy of the proposed algorithm. A computer program has also been appended

This paper systematically presents the geographical and historical forces that have shaped the resource base, infrastructure, connectivity, socio-economic milieu and consequently the economy of Tripura determining the level of human development in the state. In spite of a great burden of...

This study has presented data relating to human development in Nagaland and made an attempt to observe regularities in the same that may be meaningful for devising development policies. The findings indicate that per capita income, human development index and gender-related development index are...

This paper presents a Fortran 77 computer program of nonlinear least squares and a help on how to use the program. The codes are given. It is very easy to use. The user has to specify the function to be fitted to data and name the data file. It has been tested on the NIST, USA data. It has been...

Correlation matrices have many applications, particularly in marketing and financial economics - such as in risk management, option pricing and to forecast demand for a group of products in order to realize savings by properly managing inventories, etc.Various methods have been proposed by...

In the extant literature a suggestion has been made to solve the nearest correlation matrix problem by a modified von Neumann approximation. In this paper it has been shown that obtaining the nearest positive semi-definite matrix from a given non-positive-semi-definite correlation matrix by such...

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...