Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

85 results for “Normal Distribution”
Set a search alert
Research ArticleOpen accessIn the abstractA Test on the Multivariate Behrens–Fisher Problem in High–Dimensional Data by Block Covariance EstimationParanut Sukcharoen, Samruam ChongcharoenIn this paper, we proposed a new testing statistic for testing the equality of mean vectors from two multivariate normal populations when the covariance matrices are unknown and unequal in high–dimensional data. A new test is proposed based on the idea of keeping more information from the sample covariance matrices as much as possible. A proposed test is invariant under … …Journal of Mathematics and Statistics, Vol. 15, Issue 1 · 2 Apr 2019 · 7,369 accessesView PDFCite
Research ArticleOpen accessIn the abstractCattle Raising Practices in North-West CambodiaSophany Morm, Koemseang Nhuong, Vibol Peuo et al.We aimed to assess current cattle farming practices in northwest Cambodia in terms of economy, practical management, productivity, and sustainability. The study sites were selected in four provinces (Pursat, Battambang, Pailin, and Banteay Meanchey) with 316 cattle livestock farmers interviewed as representative samples using systematic sampling. A stratified sampling method was utilized. Data were analyzed and descriptive statistics was used … …American Journal of Animal and Veterinary Sciences, Vol. 19, Issue 4 · 7 Dec 2024 · 6,320 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance of Standard Statistical Distributions for Modeling Glass FractureDavid Kinsella, Johan Lindström, Kent PerssonExperimental data on the strength of new annealed float glass tested in an ambient environment was collected. A comparison was made between four standard distributions, the normal, lognormal, Gumbel and Weibull, with respect to the performance in modelling the strength. The Weibull distribution outperformed the normal and lognormal distributions when the data contained edge only failure origins. When the data … …International Journal of Structural Glass and Advanced Materials Research, Vol. 2, Issue 1 · 24 Aug 2018 · 7,120 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Impact of Environment on the Morphometric Characteristics of Honeybees Apis Mellifera Carnica in South-East KazakhstanUlzhan Auezkhanovna Nuraliyeva, Nuradil Nurbekuly Spatay, Ainur Malikovna Davletova et al.Morphometric characteristics of honey bees (length and width of wings, number of roots) depend on the environmental conditions (in particular, the temperature regime) in which individuals develop. The purpose of the study is to determine the distribution of honey bees and a comparative analysis of their morphometric indicators in various climatic zones of South-Eastern Kazakhstan. The main climatic zones of … …OnLine Journal of Biological Sciences, Vol. 23, Issue 4 · 24 Sep 2023 · 5,698 accessesView PDFCite
Research ArticleOpen accessIn the abstractMultivariate Option Pricing with Gaussian Mixture Distributions and Mixed CopulasJimbo Henri Claver, Tatanfack Emerson, Shu FelixRecently, it has been reported that the hypothesis proposed by the classical black scholes model to price multivariate options in finance were unrealistic, as such, several other methods have been introduced over the last decades including the copulas methods which uses copulas functions to model the dependence structure of underlying assets. However, the previous work did not take into account … …Journal of Mathematics and Statistics, Vol. 19, Issue 1 · 3 Apr 2023 · 6,511 accessesView PDFCite
Research ArticleOpen accessIn the abstractFramework for Enhancing the Performance of Data Intensive MPI based HPC applications on CloudAshwini Janagal Padmanabha, Sanjay Harogolige AdimurthyCloud computing is a new technology which is revolutionizing the current business model with pay-per-usage resource provisioning method. This model proves to be more profitable compared to traditional resource procurement and maintenance model. Data intensive High performance applications (HPC Application) handles large scale data sets on cluster/grid environment for enhanced performance. Most of these applications belong to the MPI category, … …Journal of Computer Science, Vol. 13, Issue 8 · 7 Aug 2017 · 7,253 accessesView PDFCite
Research ArticleOpen accessIn the abstractParametrical Tuning of Twisting GeneratorsAleksei F. Deon, Yulian A. MenyaevGenerators of uniformly distributed random numbers are broadly applied in simulations of stochastic processes that rely on normal and other distributions. In a point of fact, the uniform random numbers are actively used for applications that range from, modeling different phenomena such as theoretical mathematics and technical designing, to evidence-based medicine. This paper proposes a novel approach which consists of … …Journal of Computer Science, Vol. 12, Issue 8 · 7 Oct 2016 · 11,836 accessesView PDFCite
Research ArticleOpen accessIn the abstractESTIMATING LOSS SEVERITY DISTRIBUTION: CONVOLUTION APPROACHRo J. PakFinancial loss can be classified into two types such as expected loss and unexpected loss. A current definition seeks to separate two losses from a total loss. In this article, however, we redefine a total loss as the sum of expected and unexpended losses; then the distribution of loss can be considered as the convolution of the distributions of both … …Journal of Mathematics and Statistics, Vol. 10, Issue 2 · 2 May 2014 · 6,896 accessesView PDFCite
Research ArticleOpen accessIn the abstractGAUSSIAN COPULA MARGINAL REGRESSION FOR MODELING EXTREME DATA WITH APPLICATIONSutikno, Heri Kuswanto, Iis Dewi RatihRegression is commonly used to determine the relationship between the response variable and the predictor variable, where the parameters are estimated by Ordinary Least Square (OLS). This method can be used with an assumption that residuals are normally distributed (0, σ2). However, the assumption of normality of the data is often violated due to extreme observations, which are often found … …Journal of Mathematics and Statistics, Vol. 10, Issue 2 · 4 Apr 2014 · 7,620 accessesView PDFCite
Research ArticleOpen accessIn the abstractSMOOTHING SPLINE IN SEMIPARAMETRIC ADDITIVE REGRESSION MODEL WITH BAYESIAN APPROACHRita Diana, I. Nyoman Budiantara, Purhadi, Satwiko DarmestoSemiparametric additive regression model is a combination of parametric and nonparametric regression models. The parametric components are not linear but following a polynomial pattern, while the nonparametric components are unknown pattern and assumed to be contained in the Sobolev space. The nonparametric components can be approximated by smoothing spline functions. In the development of smoothing spline, the classical statistical approach … …Journal of Mathematics and Statistics, Vol. 9, Issue 3 · 12 Jun 2013 · 7,252 accessesView PDFCite