Results 191 to 200 of about 23,934,423 (243)
Some of the next articles are maybe not open access.
A random parameters probit model of urban and rural intersection crashes.
Accident Analysis and Prevention, 2015R. Tay
semanticscholar +3 more sources
Tourists intra-destination visits and transport mode: a bivariate probit model.
Annals of Tourism Research, 2013L. Masiero, Judit Zoltan
semanticscholar +3 more sources
A joint normal‐binary (probit) model
International Statistical Review, 2022SummaryIn biomedical research, often hierarchical binary and continuous responses need to be jointly modelled. In joint generalised linear mixed models, this can be done with correlated random effects, which allows examining the association structure between the various responses and the evolution of this association over time.
Margaux Delporte +6 more
openaire +1 more source
An exact likelihood analysis of the multinomial probit model
Journal of Econometrics, 1994R. McCulloch, Peter E. Rossi
semanticscholar +3 more sources
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
1987
This chapter is the first in a series of four that deals with the relatively new applications of qualitative response analysis in the social sciences. Qualitative response analysis involves the estimation of models in which the endogenous variable assumes discrete values.
William E. Becker, Donald M. Waldman
openaire +1 more source
This chapter is the first in a series of four that deals with the relatively new applications of qualitative response analysis in the social sciences. Qualitative response analysis involves the estimation of models in which the endogenous variable assumes discrete values.
William E. Becker, Donald M. Waldman
openaire +1 more source
Comparing logit & probit coefficients between nested models.
Social Science Research, 2022Social scientists are often interested in seeing how the estimated effects of variables change once other variables are controlled for. For example, a simple analysis may reveal that income differs by race - but why does it differ?
Richard Williams, Abigail Jorgensen
semanticscholar +1 more source
1992
In demographic research, we often face situations where the dependent variable of interest is a dichotomy, such as dead or alive, divorced or still in marriage, accept or reject contraception, and so forth. In recent years, logistic regression has been used to study topics as diverse as marital formation and dissolution (Abdelrahman and Morgan, 1987 ...
Shiva S. Halli, K. Vaninadha Rao
openaire +1 more source
In demographic research, we often face situations where the dependent variable of interest is a dichotomy, such as dead or alive, divorced or still in marriage, accept or reject contraception, and so forth. In recent years, logistic regression has been used to study topics as diverse as marital formation and dissolution (Abdelrahman and Morgan, 1987 ...
Shiva S. Halli, K. Vaninadha Rao
openaire +1 more source
A Bivariate Fractional Probit Model
2018This paper develops a bivariate fractional probit model for fractional response variables, i.e., variables bounded between zero and one. The model can be applied when there are two seemingly unrelated fractional response variables. Since the model relies on a quite strong bivariate normality assumption, specification tests are discussed and the ...
openaire +2 more sources