Results 41 to 50 of about 144,234 (118)

Statistical Analysis of the Three-Dimensional Data of Software Metrics RFC, CBO, and WMC that are not Normally Distributed

Proceedings of the International Conference on Applied Innovations in IT
Empirical data of RFC (response for a class), CBO (coupling between object classes), and WMC (weighted methods per class) software metrics, that can be used for estimation of software quality, deviate from normality.
Sergiy Prykhodko, Lidiia Makarova, Andrii Pukhalevych   +2 more
doaj   +1 more source

MODIFICATION OF THE DECOMPOSITION METHOD OF CONSTRUCTING MULTIVARIATE POLYNOMIAL REGRESSION WHICH IS LINEAR WITH RESPECT TO UNKNOWN COEFFICIENTS

Вісник Національного технічного університету "ХПÌ": Системний аналіз, управління та інформаційні технології
The authors created a universal method of constructing multivariate polynomial regression given by a redundant representation. The method is synthetic, it organically combines a decomposition method and the modified group method of data handling.
Alexander Pavlov, Maxim Holovchenko, Valeriia Drozd   +2 more
doaj   +1 more source

An Effective Approach for Reliability-Based Sensitivity Analysis with the Principle of Maximum Entropy and Fractional Moments

Entropy, 2019
The reliability-based sensitivity analysis requires to recursively evaluate a multivariate structural model for many failure probability levels. This is in general a computationally intensive task due to irregular integrations used to define the ...
Xufang Zhang, Jiankai Liu, Ying Yan, Mahesh Pandey   +3 more
doaj   +1 more source

Bayes Estimation for the Mean Matrix of the SSMESN Family of Matrix Variate Distributions

Austrian Journal of Statistics
In this paper, the problem of finding a Bayes estimation for the mean matrix of the scale and shape mixtures of matrix variate extended skew normal distributions is considered, and its applications in the multivariate linear regression and the stress ...
Amir Rezaei, Fatemeh Yousefzadeh
doaj   +1 more source

The Association between the Parents’ Knowledge of Carbohydrate Counting and the Glycaemic Control of the Children with Type 1 Diabetes

International Journal of Pediatrics, 2018
Background. Medical nutritional therapy is an important component of type 1 diabetes (T1D) care in children and carbohydrate counting is one such method.
Priyanga Ranasinghe, Vidarsha Rajini Senadeera, Rashmi Senarathna, Uththara Sapurnika, Vindhya Ramanayake, Ranil Jayawardena   +5 more
doaj   +1 more source

Cholesky-based model averaging for covariance matrix estimation

Statistical Theory and Related Fields, 2017
Estimation of large covariance matrices is of great importance in multivariate analysis. The modified Cholesky decomposition is a commonly used technique in covariance matrix estimation given a specific order of variables.
Hao Zheng, Kam-Wah Tsui, Xiaoning Kang, Xinwei Deng   +3 more
doaj   +1 more source

Comparative Evaluation of Nonparametric Density Estimators for Gaussian Mixture Models with Clustering Support

Axioms
The article investigates the accuracy of nonparametric univariate density estimation methods applied to various Gaussian mixture models. A comprehensive comparative analysis is performed for four popular estimation approaches: adaptive kernel density ...
Tomas Ruzgas, Gintaras Stankevičius, Birutė Narijauskaitė, Jurgita Arnastauskaitė Zencevičienė   +3 more
doaj   +1 more source

Detecting global financial crises with scarce data by multivariate nonlinear filtering

Journal of Physics: Complexity
An original procedure is devised for the automated detection of global financial crises from multivariate databases of share prices. It consists of: i) the construction of time series from the time-windowed estimations of crisis relevant information ...
Cécile Bastidon, Antoine Parent, Patrice Abry, Pierre Borgnat, Pablo Jensen, Barbara Pascal   +5 more
doaj   +1 more source

A Subcopula Characterization of Dependence for the Multivariate Bernoulli Distribution

Journal of Statistical Theory and Applications (JSTA)
This paper provides a subcopula characterization of dependence for the Multivariate Bernoulli Distribution. Explicit formulas are derived using subcopulas to introduce dependence measures for interactions of all orders, not just pairwise.
Arturo Erdely
doaj   +1 more source

Impact of Tricuspid Regurgitation Severity on Accuracy of Echocardiographic Estimation of Systolic Pulmonary Artery Pressure in Patients With Pulmonary Arterial Hypertension

Cardiology Discovery
Objective:. This study aims to investigate the impact of tricuspid regurgitation (TR) severity on the accuracy of echocardiographic estimation of systolic pulmonary arterial pressure (sPAP) in patients with pulmonary arterial hypertension (PAH). Methods:.
Jiawang Xiao, Jianming Wang, Shuai Huang, Jingsong Geng, Lili Meng, Zhongchao Wang, Qiguang Wang   +6 more
doaj   +1 more source