Results 271 to 280 of about 9,886 (298)

A bivariate cumulative probit regression model for ordered categorical data

Statistics in Medicine, 1995
AbstractThis paper proposes a latent variable regression model for bivariate ordered categorical data and develops the necessary numerical procedure for parameter estimation. The proposed model is an extension of the standard bivariate probit model for dichotomous data to ordered categorical data with more than two categories for each margin.
openaire   +2 more sources

Ordered Probit Analysis of Farm-Inn Operations in Japan

2005
The purpose of this study is to provide a statistical framework for analyzing the operation of farm-based accommodations (farm-inn). A primary data sample of 386 farm-inn operators located all over Japan was analyzed by an ordered probit model. A variety of sample characteristics, such as the number of years in operation, the number of guestrooms, and ...
Yoshida, Kentaro, Yoshida, Kentaro
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Interfleet CII optimization: the discrete ordered probit approach

Maritime transport accounts for up to 90% of global trade and utilizes around 60,000 ships, but it contributes approximately 2.8% of global greenhouse gas (GHG) emissions due to its reliance on carbon-intensive fuels. In response, the International Maritime Organization (IMO) has strengthened climate policies, notably with the 2023 IMO Strategy for the
Sassalos, Panagiotis-Marios, Papakostas, Alexios   +1 more
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Estimation of nested and zero-inflated ordered probit models

The Stata Journal, 2021
Andrei Sirchenko
exaly  

Ranking Algarve Tourists Preferences: An Ordered Probit Approach

2014
The starting point for tourism development is tourists’ preferences. Preferences are the cognitive motivations that drive tourists to a certain destination. There are a plethora of published studies in the field of tourist motivations, such as Dann (1977); Crompton (1979); Witt and Wright (1992); Pearce and Lee (2005) to name a few, who contributed to ...
Serra, Jaime, Correia, Antónia, Rodrigues, Paulo M.M.   +2 more
openaire   +1 more source

Using Pooled Heteroskedastic Ordered Probit Models to Improve Small-Sample Estimates of Latent Test Score Distributions

Journal of Educational and Behavioral Statistics, 2021
Benjamin R Shear, Sean F Reardon
exaly  

Analysis of accident injury-severity outcomes: The zero-inflated hierarchical ordered probit model with correlated disturbances

Analytic Methods in Accident Research, 2018
Grigorios Fountas, Panagiotis Ch Anastasopoulos   +1 more
exaly  

Random-effects ordered probit [PDF]

Stata Technical Bulletin, 2001
openaire  

Analysis of accident injury-severities using a correlated random parameters ordered probit approach with time variant covariates

Analytic Methods in Accident Research, 2018
Grigorios Fountas, Panagiotis Ch Anastasopoulos, Mohamed Abdel-Aty   +2 more
exaly  

Ordered probit modeling

2015
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