Linear models, generalized linear models, and nonlinear models are examples of parametric regression models because we know the function that describes the relationship between the response and ...

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

Sankhyā: The Indian Journal of Statistics, Series A (2008-), Vol. 70, No. 2 (August 2008), pp. 267-313 (47 pages) The Bayesian approach to analyzing semi-parametric models are gaining popularity in ...

This is a preview. Log in through your library . Abstract In the analysis of semi-competing risks data interest lies in estimation and inference with respect to a so-called non-terminal event, the ...

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