Results 281 to 290 of about 21,585,736 (352)
JMIR Mhealth UhealthSome of the next articles are maybe not open access.
Related searches:
Related searches:
A generalized ordered Probit model
Communications in Statistics - Theory and Methods, 2019The ordered probit and logit models, based on the normal and logistic distributions, can yield biased and inconsistent estimators when the distributions are misspecified.
Carla Johnston +2 more
openaire +2 more sources
Journal of Transportation Safety & Security, 2021
This study proposes a random parameter bivariate probit model to analyze risk factors on the crash injury severity of both motorcycle riders and passengers in a single modeling framework.
Shunping Wang +3 more
semanticscholar +1 more source
This study proposes a random parameter bivariate probit model to analyze risk factors on the crash injury severity of both motorcycle riders and passengers in a single modeling framework.
Shunping Wang +3 more
semanticscholar +1 more source
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
Empirical analysis of level of service at toll plaza by using ordered probit model
Transportation letters, 2019Level-of-service (LOS) is a key index that reflects the operational condition of the toll-plaza. Although it has been observed that the developed countries have a very effective system at the toll plazas; but, the developing countries are still ...
Yogeshwar V. Navandar +3 more
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
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