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Published in 2020 at "Arabian Journal for Science and Engineering"
DOI: 10.1007/s13369-020-05035-y
Abstract: A novel three-stage multi-criteria decision-making (MCDM) method considering the interval-valued best–worst method (BWM) and social networks including the following three main modules is put forward: (1) the weights of experts; (2) the weights of criteria;… read more here.
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Published in 2019 at "Journal of the American Society of Echocardiography"
DOI: 10.1016/j.echo.2018.09.012
Abstract: Background: Normative ranges of fetal echocardiographic measurements are important for quantitative diagnosis of fetal cardiovascular disease. The current normative ranges were derived from small samples and were based on the hypothesis of a normal distribution… read more here.
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Published in 2019 at "Solar Energy"
DOI: 10.1016/j.solener.2019.04.096
Abstract: Abstract Solar radiation is an important factor in the design and simulation of transparent systems. The angle-dependent optical properties of transparent systems are hard to predict because it is difficult to obtain the incidence angle… read more here.
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Published in 2018 at "Journal of Statistical Computation and Simulation"
DOI: 10.1080/00949655.2017.1413649
Abstract: ABSTRACT Cooray and Ananda introduced a two-parameter generalized Half-Normal distribution which is useful for modelling lifetime data, while its maximum likelihood estimators (MLEs) are biased in finite samples. This motivates us to construct nearly unbiased… read more here.
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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.
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Published in 2022 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2023.2207785
Abstract: The modality is important topic for modelling. Using parametric models is an efficient way when real data set shows trimodality. In this paper we propose a new class of trimodal probability distributions, that is, probability… read more here.
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Published in 2019 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2018.1433855
Abstract: ABSTRACT Based on reliability theory, the value of the standard normal distribution integral can be obtained by calculating the probability of the failure domain of the linear performance function. After the sample space is divided… read more here.
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Published in 2018 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2018.1483509
Abstract: Abstract The most commonly studied generalized normal distribution is the well-known skew-normal by Azzalini. In this paper, a new generalized normal distribution is defined and studied. The distribution is unimodal and it can be skewed… read more here.
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Published in 2021 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2021.1934700
Abstract: We introduce a new family of probability distributions that we call the Modified-Half-Normal distributions. It is supported on the positive part of the real line with its probability density propor... read more here.
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Published in 2021 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2021.1974480
Abstract: Aim: Given a finite set of cardinal numbers, we approximate the data by an optimal normal distribution based on some criteria. Methods: There are mainly two parts: interpolating the given data via ... read more here.
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Published in 2018 at "Journal of Statistical Theory and Practice"
DOI: 10.1080/15598608.2017.1350608
Abstract: In a normal distribution with its mean unknown, we have developed Stein type two-stage and Chow and Robbins type purely sequential strategies to estimate the unknown variance σ2 under a modified Linex loss function. We… read more here.