Quantile Generated Nadarajah–Haghighi Family of Distributions

Annals of Data Science - Tập 9 - Trang 1161-1180 - 2020
Suleman Nasiru1, Abdul Ghaniyyu Abubakari1, John Abonongo1
1Department of Statistics, Faculty of Mathematical Sciences, University for Development Studies, Tamale, Ghana

Tóm tắt

The T-NH{Y} family is developed and study in this paper. Various statistical properties such as the mode, quantile, moments and Shannon entropy were derived. Two special distributions namely, exponential-NH{log-logistic}and Gumbel-NH{logistic} were developed. Plots of the failure rate functions for these distributions for some given parameter values indicated that the hazard rate functions can exhibit different types of non-monotonic failure rates. Two applications using real datasets on failure times revealed that the exponential-NH{log-logistic} distribution provides better fits to the datasets than the other fitted models.

Tài liệu tham khảo

Aarset AS (1987) How to identify a bathtub hazard rate. IEEE Trans Reliab 36:106–108 Abdul-Moniem IB (2015) Exponentiated Nadarajah and Haghighi’s exponenetial distribution. Int J Math Anal Appl 2(5):68–73 Aljarrah MA, Lee C, Famoye F (2014) On generating T-X family of distributions using quantile functions. J Stat Distrib Appl 1(1):1–17 Almheidat M, Famoye F, Lee C (2015) Some generalized families of Weibull distribution: properties and applications. Int J Stat Probab 4:18–35 Alzaatreh A, Lee C, Famoye F (2016) Family of generalized gamma distributions: properties and applications. Hacettepe J Math Stat 45:869–886 Alzaatreh A, Lee C, Famoye F (2014) T-normal family of distributions: a new approach to generalize the normal distribution. J Stat Distrib Appl 1(1):1–18 Alzaatreh A, Lee C, Famoye F (2013) A new method for generating families of continuous distributions. Metron 71(1):63–79 Bolker B (2014) Tools for general maximum likelihood estimation. R Development Core Team Ghosh I, Nadarajah S (2018) On some further properties and application of Weibull-R family of distributions. Ann Data Sci 5(3):387–399 Hamed D, Famoye F, Lee C (2018) On families of generalized Pareto distributions: properties and applications. J Data Sci 16(2):377–396 Jamal F, Aljarrah MA, Tahir MH, Nasir MA (2018) A new extended generalized Burr-III family of distributions. Tbilisi Math J 11(1):59–78 Lawles JF (1982) Statistical models and methods for lifetime data. Wiley, New York Lima SRL (2015) The half normal generalized family and Kumaraswamy Nadarajah–Haghighi distribution. Master thesis, Universidade Federal de Pernumbuco Mansoor M, Tahir MH, Cordeiro GM, Alzaatreh A, Zubair M (2017) A new family of distributions to analyze lifetime data. J Stat Theory Appl 16(4):490–507 Nadarajah S, Haghighi F (2011) An extension of the exponential distribution. Stat J Theor Appl Stat 45(6):543–558 Nasir A, Aljarrah M, Jammal F, Tahir MH (2017) A new generalized Burr family of distributions based on quantile function. J Stat Appl Probab 6(3):499–504 Peña-Ramírez FA, Guerra RR, Cordeiro GM (2018) A new generalization of the Nadarajah–Haghighi distribution. XXVIII Simposio Internacional de Estadística 23(27):1–12 Quesenberry CP, Kent J (1982) Selecting among probability distributions used in reliability. Technometrics 24(1):59–65 Shannon CE (1948) A mathematical theory of communication. Bell Syst Tech J 27:379–432 Swain JJ, Venkatraman S, Wilson JR (1988) Least-Squares estimation of distribution functions in Johnson’s translation system. J Stat Comput Simul 29:271–297 Yousof HM, Korkmaz MÇ (2017) Topp–Leone Nadarajah–Haghighi distribution. J Stat Stat Actuar Sci 2:119–128 Zubair M, Alzaatreh A, Cordeiro GM, Tahir MH, Mansoor M (2018) On generalized classes of exponential distribution using T-X family framework. Filomat 32(4):1259–1272