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  • Search: subject:"Non-normal error distribution"
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Year of publication
Subject
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Non-normal error distribution 2 Crop Production/Industries 1 Demand and Price Analysis 1 Double hurdle 1 EM algorithm 1 Maximum likelihood 1 Model identifiability 1 Rice demand 1 Unobserved heterogeneity 1
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Online availability
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Free 1 Undetermined 1
Type of publication
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Article 2
Language
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Undetermined 2
Author
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Cramer, Gail L. 1 Galimberti, Giuliano 1 Gao, Xiaoming 1 Soffritti, Gabriele 1 Wailes, Eric J. 1
Published in...
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Computational Statistics & Data Analysis 1 Journal of Agricultural and Applied Economics 1
Source
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RePEc 2
Showing 1 - 2 of 2
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A multivariate linear regression analysis using finite mixtures of t distributions
Galimberti, Giuliano; Soffritti, Gabriele - In: Computational Statistics & Data Analysis 71 (2014) C, pp. 138-150
Recently, finite mixture models have been used to model the distribution of the error terms in multivariate linear regression analysis. In particular, Gaussian mixture models have been employed. A novel approach that assumes that the error terms follow a finite mixture of t distributions is...
Persistent link: https://www.econbiz.de/10010871432
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DOUBLE-HURDLE MODEL WITH BIVARIATE NORMAL ERRORS: AN APPLICATION TO U.S. RICE DEMAND
Gao, Xiaoming; Wailes, Eric J.; Cramer, Gail L. - In: Journal of Agricultural and Applied Economics 27 (1995) 02
Per capita rice consumption in the U.S. has doubled over the past decade. The effects of social and demographic variables on the household's rice consumption decisions are analyzed along with income and price variables. A double-hurdle model is used to solve simultaneously the consumer decisions...
Persistent link: https://www.econbiz.de/10005469254
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