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 ?
MACH is currently listed on large exchanges including IDAX, ProBit and Latoken, and will be listed on a total five large exchanges by the end of this year.
Probit regression analyses of the effect of ethanol on adults of Drosophila suzukii and Drosophila melanogaster.
Our primary models are probit models for each of the outcomes.
Formed eight years ago, Probit is a unique business providing an innovative solution for utility and energy firms including Welsh Water, Wales and West Utilities, Thames Water, Cadent and National Grid.
The standard approach to empirically implement Equation (1) relies on estimating a binary bivariate probit model (for a review of applications, see Cohen and Spiegelman, 2010).
The data was analyzed statistically and LC50 was calculated using probit Analysis according to Busvine (1971) and Finey (1971).
[19, 20] applied the ordered probit models in predicting injury level for crashes at construction zones, involving trucks, to identify characteristics that contribute to the severity of accidents involving older drivers, while [2] applied this technique to show the similarities and differences in factors contributing to crash injury severity on roadway sections, signalized intersections, and toll plazas; he concluded that results produced by the model were the best, besides it is worth due to its simplicity.
(2011) conducted a review of the methodological tools employed for statistical analysis of crash injury severity, and found ordered logit and probit models, binary logit and probit models, and multinomial logit models to be the most common.
We used probit models to estimate the probability of detection and linear models to estimate concentration conditional on a detectable value (Gelman and Hill 2007).
Next, we run ordered probit models to analyze the firm characteristics associated with the respondents' views regarding big data, AI, and robotics.