Linear regression remains a cornerstone of statistical analysis, offering a framework for modelling relationships between a dependent variable and one or more independent predictors. Over the past ...

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 ...

This paper studies estimation in functional linear quantile regression in which the dependent variable is scalar while the covariate is a function, and the conditional quantile for each fixed quantile ...

Description: Inference in simple and multiple linear regression, estimation of model parameters, testing and prediction. Residual analysis, diagnostics and remedial measures. Multicollinearity. Model ...