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   Articles with "skew normal" as a keyword



Robust inference in linear mixed model with skew normal-symmetric error

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recommendations! 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

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recommendations! 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

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recommendations! 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

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recommendations! 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
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A study of generalized normal distributions

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recommendations! 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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recommendations! Published in 2017 at "Communications in Statistics - Theory and Methods"

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
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On the modified skew-normal-Cauchy distribution: properties, inference and applications

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recommendations! 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

Incomplete ordinal panel responses with initial condition and skew-normal random effect

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recommendations! Published in 2024 at "Communications in Statistics - Theory and Methods"

DOI: 10.1080/03610926.2024.2412668

Abstract: Abstract This paper presents a model for the ordinal categorical panel data with skew-normal random effects, endogenous initial condition, and non ignorable (NI) non monotone missing data. We assumed three separate models for the initial… read more here.

Keywords: normal random; random effect; initial condition; skew normal ... See more keywords

Additive models with p-order autoregressive skew-normal errors for modeling trend and seasonality in time series

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recommendations! Published in 2025 at "Communications in Statistics - Theory and Methods"

DOI: 10.1080/03610926.2024.2444519

Abstract: Abstract. In this article, we propose an additive model in which the random error follows a skew-normal p-order autoregressive (AR) process where the systematic component is approximated by cubic and cyclic cubic regression splines. The… read more here.

Keywords: autoregressive skew; skew normal; models order; order autoregressive ... See more keywords

An Extension of the Unified Skew-Normal Family of Distributions and its Application to Bayesian Binary Regression

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recommendations! Published in 2024 at "Journal of Computational and Graphical Statistics"

DOI: 10.1080/10618600.2024.2444313

Abstract: Abstract We consider the Bayesian binary regression model and we introduce a new class of distributions, the Perturbed Unified Skew-Normal (pSUN, henceforth), which generalizes the Unified Skew-Normal (SUN) class. We show that the new class… read more here.

Keywords: unified skew; skew normal; binary regression; regression model ... See more keywords

A Synthetic Algorithm on the Skew-normal Decomposition for Satellite Lidar Waveforms

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recommendations! 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