Likelihood-based inference for censored linear regression models with scale mixtures of skew-normal distributions
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DOI: 10.1080/02664763.2017.1408788
Abstract: ABSTRACT In many studies, the data collected are subject to some upper and lower detection limits. Hence, the responses are either left or right censored. A complication arises when these continuous measures present heavy tails… read more here.
Keywords: likelihood based; skew normal; censored linear; based inference ... See more keywords
Parameter estimation for mixtures of skew Laplace normal distributions and application in mixture regression modeling
Sign Up to like & getrecommendations! Published in 2017 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2016.1252400
Abstract: ABSTRACT In this article, we propose mixtures of skew Laplace normal (SLN) distributions to model both skewness and heavy-tailedness in the neous data set as an alternative to mixtures of skew Student-t-normal (STN) distributions. We… read more here.
Keywords: skew laplace; laplace normal; mixture regression; mixtures skew ... See more keywords