Sankhyā: The Indian Journal of Statistics, Series B (1960-2002), Vol. 63, No. 3 (Dec., 2001), pp. 321-325 (5 pages) This paper deals with the standard multiple linear regression model ...

Log-normal linear regression models are popular in many fields of research. Bayesian estimation of the conditional mean of the dependent variable is problematic as many choices of the prior for the ...

In this sense, the proposed method is an extension of the variance of the regression estimator for two-stage sampling. The method is applied to quarterly data from the Labor Force Survey where ...

In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...

Compare and contrast between the following concepts: Estimator and estimate An estimator is simply a rule or formula that tells us how to go about estimating a population quantity, such as population ...