Robust inference in linear mixed model with skew normal-symmetric error
Sign Up to like & getrecommendations! Published in 2017 at "Frontiers of Mathematics in China"
DOI: 10.1007/s11464-017-0660-1
Abstract: Linear mixed effects models with general skew normal-symmetric (SNS) error are considered and several properties of the SNS distributions are obtained. Under the SNS settings, ANOVA-type estimates of variance components in the model are unbiased,… read more here.
Keywords: error; skew normal; normal symmetric; multivariate skew ... See more keywords
Likelihood-based inference for censored linear regression models with scale mixtures of skew-normal distributions
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Applied Statistics"
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
EM algorithm for mixture of skew-normal distributions fitted to grouped data
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2020.1759032
Abstract: Grouped data are frequently used in several fields of study. In this work, we use the expectation-maximization (EM) algorithm for fitting the skew-normal (SN) mixture model to the grouped data. Implementing the EM algorithm requires… read more here.
Keywords: mixture model; skew normal; algorithm mixture; mixture ... See more keywords
Heteroscedastic partially linear model under skew-normal distribution with application in ragweed pollen concentration
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2021.2024798
Abstract: We introduce a new class of heteroscedastic partially linear model (PLM) with skew-normal distribution. Maximum likelihood estimation of the model parameters by the ECM algorithm (Expectation/Conditional Maximization) as well as influence diagnostics for the new… read more here.
Keywords: linear model; normal distribution; heteroscedastic partially; model ... See more keywords
A study of generalized normal distributions
Sign Up to like & getrecommendations! Published in 2017 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2015.1107585
Abstract: ABSTRACT In this work, first some distributional properties of extended two-piece skew normal distributions are presented. Next we revisit the special case, that is two-piece skew normal distributions. Then two distributions related to two-piece skew… read more here.
Keywords: skew normal; two piece; study generalized; normal distributions ... See more keywords
The power series skew normal class of distributions
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DOI: 10.1080/03610926.2016.1267758
Abstract: ABSTRACT A class of power series skew normal distributions is introduced by generalizing the geometric skew normal distribution of Kundu. Various mathematical properties are derived and estimation addressed by the method of maximum likelihood. The… read more here.
Keywords: class; skew normal; power series; series skew ... See more keywords
On the modified skew-normal-Cauchy distribution: properties, inference and applications
Sign Up to like & getrecommendations! Published in 2020 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2019.1708942
Abstract: Abstract In this paper, we study further properties of the modified skew-normal-Cauchy (MSNC) distribution. MSNC distribution corresponds to a reformulation of skew-normal-Cauchy distribution that allows to obtain a nonsingular Fisher Information Matrix at skewness parameter… read more here.
Keywords: cauchy distribution; skew normal; normal cauchy; modified skew ... See more keywords
A Synthetic Algorithm on the Skew-normal Decomposition for Satellite Lidar Waveforms
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3149752
Abstract: Full waveform satellite lidar can be used to retrieve the terrestrial surface information by decomposing its received waveforms. However, it is challenging to accurately extract the parameters of each component from a non-Gaussian overlapped waveform,… read more here.
Keywords: lidar waveforms; decomposition; lidar; skew normal ... See more keywords
Stochastic Bifurcation in Generalized Chua’s Circuit Driven by Skew-Normal Distributed Noise
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DOI: 10.1142/s0219477518300021
Abstract: In this study, the stochastic phenomenological bifurcations (P-bifurcations) of generalized Chua’s circuit (GCC) driven by skew-normal distributed noise have been investigated by numerically obtain... read more here.
Keywords: normal distributed; skew normal; chua circuit; distributed noise ... See more keywords
Information–Theoretic Aspects of Location Parameter Estimation under Skew–Normal Settings
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DOI: 10.3390/e24030399
Abstract: In several applications, the assumption of normality is often violated in data with some level of skewness, so skewness affects the mean’s estimation. The class of skew–normal distributions is considered, given their flexibility for modeling… read more here.
Keywords: information; parameter; estimation; skew normal ... See more keywords
Control Charts for Monitoring the Mean of Skew-Normal Samples
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DOI: 10.3390/sym14112302
Abstract: The presence of asymmetric data in production processes or service operations has prompted the development of new monitoring schemes. In this article, an adapted version of the exponentially weighted moving averages (EWMA) control chart with… read more here.
Keywords: monitoring mean; control; charts monitoring; control chart ... See more keywords