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A generalized estimator representing a class of estimators is proposed for the estimation of regression coefficients in the linear regression model when the error components have the joint multivariate Student-t distribution. Approximate expressions for the bias and the risk of the proposed...
Persistent link: https://www.econbiz.de/10005223579
This article uses a case study of Bass to examine the business and accounting history of trade mark defence in the nineteenth and early twentieth centuries. We employ a variety of business, legal and parliamentary records to discuss the measures they adopted to prevent trade mark infringement....
Persistent link: https://www.econbiz.de/10004966654
Persistent link: https://www.econbiz.de/10009325219
Two classes of estimators in two different situations of (i) unknown and (ii) known variance ([sigma]2), for estimating the population mean ([mu]) of symmetrical populations have been proposed. The general expressions of bias and mean squared error, of which the bias and mean squared error of...
Persistent link: https://www.econbiz.de/10005137790
Considering a linear regression model subject to a set of linear restrictions binding the coefficients, two classes of estimators are proposed; their risk functions with respect to a general quadratic loss function are derived under non-normality, their properties are studied and the general...
Persistent link: https://www.econbiz.de/10005223078
Srivastava and Jhajj (1981) proposed a class of estimators for population mean of a character using auxiliary information and optimum values involving unknown parameters. From the practical point of view, their results have very little utility. In view of practical utility, we propose a class of...
Persistent link: https://www.econbiz.de/10005319714