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A Model in Probit Analysis

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Multi-Variate Probit Analysis

Biometrics, 1970
SUMMARY This paper is concerned with the situation in which samples from a population of biological organisms are exposed to a stimulus at various levels, the effect on the organisms being manifested in terms of the observable quantal responses of two or more separate physiological systems.
J R, Ashford, R R, Sowden
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High-Dimensional Multivariate Probit Analysis

Biometrics, 1996
A computationally practical form of probit analysis for multiple response variables based on an assumed common factor model for the latent tolerances is proposed. Numerical integration over the factor space provides maximum likelihood estimation of the probit regression parameters and of the probabilities of response combinations under the model.
Bock, R. Darrell, Gibbons, Robert D.
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Programming Probit Analysis

Bulletin of the Entomological Society of America, 1979
Probit analysis is a conventional technique for evaluating a quantal response to a stimulus (Finney 1971). Data amenable to this analytical method include the results of bioassays of drugs, insecticides, and fungicides. With suitable generalization, probit analysis has been applied to other kinds of investigations (Press 1972).
R. M. Russell, J. L. Robertson
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