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 ...

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 ...

Tests of hypotheses about finite-dimensional parameters in a semi-parametric model are studied from Pitman's moving alternative (or local) approach using Le Cam's local asymptotic normality concept.

This paper compares the familiar probit model with three semiparametric estimators of binary response models in an application to labour market participation of married women. This exercise is ...

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