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 ...

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 ...

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 ...

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 ...

We all know and love OpenSCAD for its sweet sweet parametrical goodness. However, it’s possible to get some of that same goodness out of Fusion 360. To do this we will be making a mathematical model ...

This course is compulsory on the BSc in Actuarial Science. This course is available on the BSc in Data Science and BSc in Mathematics, Statistics and Business. This course is available as an outside ...