Results 241 to 250 of about 74,563 (294)
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Total, Direct, and Indirect Effects in Logit and Probit Models
Sociological Methods and Research, 2013Richard Breen +2 more
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Journal of Econometrics, 2019
This paper presents an examination of the finite sample performance of likelihood based estimators derived from different functional forms. We evaluate the impact of functional form miss-specification on the performance of the maximum likelihood ...
Chuhui Li, D. Poskitt, Xueyan Zhao
semanticscholar +1 more source
This paper presents an examination of the finite sample performance of likelihood based estimators derived from different functional forms. We evaluate the impact of functional form miss-specification on the performance of the maximum likelihood ...
Chuhui Li, D. Poskitt, Xueyan Zhao
semanticscholar +1 more source
Accident Analysis and Prevention, 2019
OBJECTIVE Side crashes between vehicles which usually lead to high casualties and property loss, rank first among total crashes in China. This paper aims to identify the factors associated with injury severity of side crashes at intersections and to ...
Q. Yuan +4 more
semanticscholar +1 more source
OBJECTIVE Side crashes between vehicles which usually lead to high casualties and property loss, rank first among total crashes in China. This paper aims to identify the factors associated with injury severity of side crashes at intersections and to ...
Q. Yuan +4 more
semanticscholar +1 more source
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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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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PROBIT: weighted probit regression analysis for estimation of biological activity
Journal of Immunological Methods, 1992PROBIT estimates biologic activity by weighted probit regression analysis and comparison with a known standard. The program is intended to speed up calculation of the concentration of cytokines in large numbers of cell supernatants. Data are input from either sequential or free-form text files created with a spreadsheet or text editor.
M, Bailey +3 more
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High-Dimensional Multivariate Probit Analysis
Biometrics, 1996A 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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1987
Two convenient classifications for variables which are not amenable to treatment by the principal tool of econometrics, regression analysis, are quantal responses and limited responses. In the quantal response (all or nothing) category are dichotomous, qualitative and categorical outcomes, and the methods of analysis identified as probit and logit are ...
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Two convenient classifications for variables which are not amenable to treatment by the principal tool of econometrics, regression analysis, are quantal responses and limited responses. In the quantal response (all or nothing) category are dichotomous, qualitative and categorical outcomes, and the methods of analysis identified as probit and logit are ...
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Linear probability, logit and probit models
, 1984John H. Aldrich, F. Nelson
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Selection-endogenous ordered probit and dynamic ordered probit models [PDF]
, 2009 In this presentation we define two qualitatitive response models: 1) Selection Endogenous Dummy Ordered Probit model (SED-OP); 2) a Selection Endogenous Dummy Dynamic Selection Ordered Probit model (SED- DOP). The SED-OP model is a three-equation model constituted of an endogenous dummy equation, a selection equation, and a main equation which has an ...
Alfonso Miranda, Massimiliano Bratti
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