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Binary probit model was used to explain the probability of migrating while ordinary least square was used to explain effects on herd size.
Interviews with 110 used a structured questionnaire, and the binary probit model was used to explain the probability of pastoralist migration from volatile areas to safer areas, while ordinary least squares (OLS) was used to explain its effects on herd size.
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So, a binary probit model is used in the first stage to model the adoption behavior, and in the second stage, separate regression models are used to model agricultural production function conditional on a specified criterion function.
For the first step of the analysis, binary probit models were specified and estimated.
For the dichotomous choice question with the analysis based on binary data, the Probit model was used to explain the initial votes for and against the program.
To model the dynamic nature of screening examinations and because uptake is a binary variable, a dynamic REs panel probit model was used to estimate the uptake of NHS health check-ups over the panel period from 1992 to 2008.
To model the dynamic nature of screening examinations and because uptake is a binary variable, a dynamic random effects (RE) panel probit model was used to estimate the uptake of both screening examinations over the panel period from 1992 to 2008.
For binary variables, such as drug overutilisation and prohibited combinations, a probit model was used in GEE.
For the binary satisfaction outcome (i.e., reporting of no problems), a probit model was specified and estimated by maximum likelihood.
Probit model was employed to explore the said relationships.
The heritability estimate obtained with the probit model was 0.09.
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