probit


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probit

[′prō·bət]
(statistics)
A procedure used in dosage-response studies to avoid obtaining negative response values to certain dosages; five is added to the values of the standardized variate which is assumed to be normal; the term is a contraction of probability unit.
References in periodicals archive ?
The data obtained were subjected to probit analysis using the maximum likelihood analysis (Finney 1971) and SAS 9.
Various econometric techniques are applied, such as Fixed Effects and Dynamic Generalized Methods of Moments (GMM) models Instrumental Variables (IV) and Generalized Latent Class Ordered Probit Models, Seemingly Unrelated Regressions (SURE) and Three Stage Least Squares (3SLS).
This paper provides an ordered probit approach that estimates the probability six months in the future of three distinct scenarios for prices: inflation, deflation, or price stability.
First, these two probit models are estimated independently and then the generalized residuals [[?
These are weighted linear probability models (LPM) with and without prerelegation covariates x, and the weighted Probit model with covariates.
Given that our key dependent variables are binary response variables, we conduct our analysis using probit regressions with the independent variables as firm/DB plan specific variables.
Fitment of probit was assessed using Chi-square test, where the overall significance of the multiple-tests was determined following Bonferroni procedure (12).
In 2013, Radius GMR acquired Probit Research, strengthening its expertise in the global high-tech and innovation sectors.
In this study using STATA software Probit regression model is estimated and results are expounded and reports.
This paper uses a probit regression analysis as well as the logit regression analysis employed by McKay in order to determine predictors of student success in the honors program at a small, public university, thus attempting to answer McKay's call for a greater understanding of honors students and factors influencing their success.
Thus, rather than combining our Choice Don't Know responses into either the Yes or No categories and estimating a dichotomous probit model, we instead use an ordered probit for the three potential responses to the choice question.
Section 2 employs logit, probit and scobit regression methods to detect which factors affect the pricing performance of those IPOs.