The objective of this study was to evaluate the use of probit and logit link functions for the genetic evaluation of early pregnancy using simulated data. The following simulation/analysis structures ...

IMPRI Generation Alpha Data Centre (GenAlphaDC) along with IMPRI Impact and Policy Research Institute, New Delhi conducted a Two-Week Immersive Online Hands-On Certificate Training Course on ...

ABSTRACT: Starvation in Karamoja remains one of human’s greatest infamies. Not blinking at this fact has resulted in solicitation for more permanent solutions. As part of this, the current study ...

See if the logit model fits the data, treating the redemption rate as the dependent variable and price discount as the explanatory variable. b. See if the probit model does as well as the logit model.

Scholars of international relations increasingly use temporal dependence variables (polynomials or splines) to control for unmodeled duration dependence in nonlinear models (such as logit or probit) ...

ABSTRACT: Tanzania has continuously been faced with a shortage of edible oil as evidenced by the demand and supply gap for edible oil in the country. This study aimed at analyzing the factors ...

This paper primarily analyzes the one-parameter generalized logistic (1PGlogit) model, which is a generalized model containing other one-parameter item response theory (IRT) models. The essence of the ...

Trading off benefits and harms requires knowledge of the absolute risk reduction or risk difference, making risk difference a critical measure for decision making. The confidence interval of risk ...

Abstract: The Logit model and the Probit model are statistical models of Logistic regression and probability-based pattern recognition algorithms. The cases in which the Logit model and the Probit ...

A probabilistic model for representing the discrete brand choice behavior of individuals. On any choice occasion the individual is assumed to choose the item for which he/she has the highest ...