Abstract
In this paper, we introduce a new generalization of the power inverse Lindley distribution referred to as the alpha power transformed power inverse Lindley (APTPIL). The APTPIL model provides a better fit than the power inverse Lindley distribution. It includes the alpha power transformed inverse Lindley, power inverse Lindley and inverse Lindley as special sub models. Various properties of the APTPIL distribution including moments, incomplete moments, quantiles, entropy, and stochastic ordering are obtained. Maximum likelihood, maximum products of spacings, and ordinary and weighted least squares methods of estimation are utilized to obtain the estimators of the population parameters. Extensive numerical simulation is performed to examine and compare the performance of different estimates. Important data set is employed to show how the proposed model works in practice.
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References
Alkarni SH (2019) Generalized inverse Lindley power series distributions: modeling and simulation. J Nonlinear Sci Appl 12:799–815
Almalki S, Nadarajah S (2014) Modifications of the Weibull distribution: a review. Reliab Eng Syst Saf 124:32–55
Almalki S, Yuan J (2013) A new modified Weibull distribution. Reliability Engineering and System Safety 111:164–170
Ashour KS, Eltehiwy AM (2015) Exponentiated power Lindley distribution. J Adv Res 6(6):895–905
Bakouch HS, Al-Zahrani BM, Al-Shomrani AA, Marchi VA, Louzada F (2012) An extended Lindley distribution. J Korean Stat Soc 41(1):75–85
Barco K, Mazuchile J, Janeiro V (2017) The inverse power Lindley distribution. Commun Stat Simul Comput 46(8):6308–6323
Bjerkedal T (1960) Acquisition of resistance in guinea pies infected with different doses of virulent tubercle bacilli. Am J Hyg 72(1):130–148
Cheng RCH, Amin NAK (1979) Maximum product of spacings estimation with application to the lognormal distributions. Math report 79-1, Department of Mathematics, UWIST, Cardiff
Cordeiro GM, Silva RB (2014) The complementary extended Weibull power series class of distributions. Cincia Nat 36:1–13
Dey S, Sharma VK, Mesfioui M (2017a) A new extension of Weibull distribution with application to lifetime data. Ann Data Sci 1(4):31–61
Dey S, Alzaatreh A, Zhang C, Kumar D (2017b) A new extension of generalized exponential distribution with application to ozone data. Ozone Sci Eng 4(39):273–285
Dey S, Ghosh I, Kumar D (2018) Alpha-power transformed Lindley distribution: properties and associated inference with application to earthquake data. Ann Data Sci 6:1–28
Dey S, Nassar M, Kumar D (2019) Alpha power transformed inverse Lindley distribution: a distribution with an upside down bathtub-shaped hazard function. J Comput Appl Math 348:130–145
Efron B (1988) Logistic regression, survival analysis, and the Kaplan–Meier curve. J Am Stat Assoc 83:414–425
Erto P, Rapone M (1984) Non-informative and practical Bayesian confidence bounds for reliable life in the Weibull model. Reliab Eng 7:181–191
Ghitany ME, Atieh B, Nadarajah S (2008) Lindley distribution and its application. Math Comput Simul 78(4):493–506
Ghitany M, Al-Mutairi D, Balakrishnan N, Al-Enezi L (2013) Power Lindley distribution and associated inference. Comput Stat Data Anal 64:20–33
Glen A (2011) On the inverse gamma as a survival distribution. J Qual Technol 43:158–166
Gupta R, Kirmani S (1990) The role of weighted distribution in stochastic modeling. Commun Stat Theory Methods 19:3147–3162
Hassan AS, Mohamd RE, Elgarhy M, Fayomi A (2018) Alpha power transformed extended exponential distribution: properties and applications. J Nonlinear Sci Appl 12:62–67
Hassan AS, Elgarhy M, Mohamd RE, Elrajhi R (2019) Alpha power transformed power Lindley distribution. J Probab Stat 2019:8024769
Langlands A, Pocock S, Kerr G, Gore S (1997) Long-term survival of patients with breast cancer: a study of the curability of the disease. Br Med J 2:1247–1251
Lindley DV (1958) Fiducial distributions and Bayes theorem. J R Stat Soc Ser B (Methodol) 20:102–107
Mahdavi A, Kundu D (2017) A new method for generating distributions with an application to exponential distribution. Commun Stat Theory Methods 13(46):6543–6557
Mead M (2015) Generalized inverse gamma distribution and its applications in reliability communications. Commun Stat Theory Methods 44:1426–1435
Morais AL, Barreto-Souza W (2011) A compound class of Weibull and power series distributions. Comput Stat Data Anal 55:14101425
Murthy D, Xie M, Jiang R (2004) Weibull models. Wiley, Hoboken
Nadarajah S, Bakouch HS, Tahmasbi R (2011) A generalized Lindley distribution. Sankhya B 73(2):331–359
Patil GP (2002) Weighted distributions. Encycl Environ 4:2369–2377
Shaked M, Shanthikumar JG (1994) Stochastic orders and their applications. Academic Press, New York
Shanker R, Mishra A (2013) A two-parameter Lindley distribution. Stat Transit New Ser 14(1):45–56
Sharma V, Singh S, Singh U (2014) A new upside-down bathtub shaped hazard rate model for survival data analysis. Appl Math Comput 239:242–253
Sharma VK, Singh SK, Singh U, Agiwal V (2015) The inverse Lindley distribution: a stress-strength reliability model with application to head and neck cancer data. J Ind Prod Eng 32(3):162–173
Sharma V, Singh S, Singh U, Merovci F (2016) The generalized inverse Lindley distribution: a new inverse statistical model for the study of upside-down bathtub survival data. Commun Stat Theory Methods 45(19):5709–5729
Stainslav A, Grigory A (2005) An alternative to maximum likelihood based on spacings. Econom Theory. https://doi.org/10.1017/S0266466605050255
Zakerzadeh H, Dolati A (2009) Generalized Lindley distribution. J Math Ext 3(2):13–25
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Eltehiwy, M. On the Alpha Power Transformed Power Inverse Lindley Distribution. J Indian Soc Probab Stat 21, 201–224 (2020). https://doi.org/10.1007/s41096-020-00074-y
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DOI: https://doi.org/10.1007/s41096-020-00074-y