TY - JOUR
T1 - The gamma-weibull-g family of distributions with applications
AU - Oluyede, Broderick O.
AU - Pu, Shusen
AU - Makubate, Boikanyo
AU - Qiu, Yuqi
N1 - Publisher Copyright:
© 2018, Austrian Statistical Society. All rights reserved.
PY - 2018
Y1 - 2018
N2 - Weibull distribution and its extended families has been widely studied in lifetime applications. Based on the Weibull-G family of distributions and the exponentiated Weibull distribution, we study in detail this new class of distributions, namely, Gamma-Weibull-G (GWG) family of distributions. Some special models in the new class are discussed. Statistical properties of the family of distributions, such as expansion of density function, hazard and reverse hazard functions, quantile function, moments, incomplete moments, generating functions, mean deviations, Bonferroni and Lorenz curves and order statistics are presented. We also present Rényi entropy, estimation of parameters by using method of maximum likelihood, asymptotic confidence intervals and applications using real data sets.
AB - Weibull distribution and its extended families has been widely studied in lifetime applications. Based on the Weibull-G family of distributions and the exponentiated Weibull distribution, we study in detail this new class of distributions, namely, Gamma-Weibull-G (GWG) family of distributions. Some special models in the new class are discussed. Statistical properties of the family of distributions, such as expansion of density function, hazard and reverse hazard functions, quantile function, moments, incomplete moments, generating functions, mean deviations, Bonferroni and Lorenz curves and order statistics are presented. We also present Rényi entropy, estimation of parameters by using method of maximum likelihood, asymptotic confidence intervals and applications using real data sets.
KW - Gamma distribution
KW - Maximum likelihood estimation
KW - Weibull-G distribution
UR - https://www.scopus.com/pages/publications/85041331853
U2 - 10.17713/ajs.v47i1.155
DO - 10.17713/ajs.v47i1.155
M3 - 文章
AN - SCOPUS:85041331853
SN - 1026-597X
VL - 47
SP - 45
EP - 76
JO - Austrian Journal of Statistics
JF - Austrian Journal of Statistics
IS - 1
ER -