Results 221 to 230 of about 7,508 (250)

Traveler perceptions and airline choice: A multivariate probit approach

Journal of Air Transport Management, 2015
Abstract We investigate the factors that affect passenger decisions regarding airline choice. Three Multivariate Probit (MP) models are developed to analyze data for a sample of 853 respondents. This methodology allows for modeling the simultaneous, yet separate, consideration of airline choice determinants. Fare, safety and reliability, and friendly-
Christina P. Milioti, Matthew G. Karlaftis, Eleni Akkogiounoglou   +2 more
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Bayesian inference in the multivariate probit model

2011
Correlated binary data arise in many applications. Any analysis of this type of data should take into account the correlation structure among the variables. The multivariate Probit model (MVP), introduced by Ashford and Snowden (1970), is a popular class of models particularly suitable for the analysis of correlated binary data. In this class of models,
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On the Tradeoff Between Computational Simplicity and Asymptotic Properties in Multivariate Probit

Computational Economics, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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A MULTIVARIATE PROBIT ANALYSIS OF ADVERTISING AWARENESS ON MILK USE

Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, 1975
SUMMARYIn this study an attempt was made to determine and evaluate the factors affecting an individuaľs probability of milk use in terms of a multivariate probit model. Cross‐sectional survey data obtained through telephone interviews of individuals in three New York State Markets were used in the analysis.
Stanley R. Thompson, Doyle A. Eiler
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A Bayesian multivariate probit analysis of Korean firms' information system adoption

Industrial Management & Data Systems, 2011
PurposeThe purpose of this paper is to reveal the core determinants and adoption patterns of the major enterprise information systems.Design/methodology/approachThis study incorporated the core representative and meaningful explanatory variables in the major previous literatures and analyzes the core determinants of businesses' adoption of the ...
Jae Young Choi, Yeonbae Kim, Yungman Jun, Yunhee Kim   +3 more
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A probit model for multivariate random length ordinal data

Communications in Statistics - Theory and Methods, 1998
Multivariate random length ordinal data are data such that the ordinal response variable is observed a random number of times for each experimen¬tal unit. For example, depression may occur a random number of times and the severity of each depression episode is measured by an ordinal scale (e.g., l=mildly depressed, 2=moderately depressed, 3=very ...
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Analysis of Purchasing Decision with Multivariate Probit

American Journal of Agricultural Economics, 1971
Paul Kau, Lowell Hill
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Multivariate ordinal probit analysis in the skeletal assessment of sex

American Journal of Physical Anthropology, 2019
Lyle W. Konigsberg, Susan R. Frankenberg
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New estimators for the probit regression model with multicollinearity

Scientific African, 2023
Mohamed R Abonazel, Issam Dawoud, Fuad A Awwad   +2 more
exaly  

First Derivatives of the log-L for the multivariate probit model [PDF]

, 2007
In this work we found first derivatives for the log likelihood function of the multivariate probit model.
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