Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You and Your Team.

Learn More →

On Extended Quadratic Hazard Rate Distribution: Development, Properties, Characterizations and Applications

On Extended Quadratic Hazard Rate Distribution: Development, Properties, Characterizations and... AbstractIn this paper, we propose a flexible extended quadratic hazard rate (EQHR)distribution with increasing, decreasing, bathtub and upside-down bathtubhazard rate function. The EQHR density is arc, right-skewed and symmetricalshaped. This distribution is also obtained from compounding mixturedistributions. Stochastic orderings, descriptive measures on the basis ofquantiles, order statistics and reliability measures are theoreticallyestablished. Characterizations of the EQHR distribution are studied viadifferent techniques. Parameters of the EQHR distribution are estimated using themaximum likelihood method. Goodness of fit of this distribution throughdifferent methods is studied. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Economic Quality Control de Gruyter

On Extended Quadratic Hazard Rate Distribution: Development, Properties, Characterizations and Applications

Loading next page...
 
/lp/de-gruyter/on-extended-quadratic-hazard-rate-distribution-development-properties-1AiWyp10tT
Publisher
de Gruyter
Copyright
© 2018 Walter de Gruyter GmbH, Berlin/Boston
ISSN
1869-6147
eISSN
2367-2404
DOI
10.1515/eqc-2018-0002
Publisher site
See Article on Publisher Site

Abstract

AbstractIn this paper, we propose a flexible extended quadratic hazard rate (EQHR)distribution with increasing, decreasing, bathtub and upside-down bathtubhazard rate function. The EQHR density is arc, right-skewed and symmetricalshaped. This distribution is also obtained from compounding mixturedistributions. Stochastic orderings, descriptive measures on the basis ofquantiles, order statistics and reliability measures are theoreticallyestablished. Characterizations of the EQHR distribution are studied viadifferent techniques. Parameters of the EQHR distribution are estimated using themaximum likelihood method. Goodness of fit of this distribution throughdifferent methods is studied.

Journal

Economic Quality Controlde Gruyter

Published: Jun 1, 2018

References