Estimation Based on Progressively Censored Data from Weibull-Exponential Distribution

Al-Aqtash R, Lee C, Famoye F (2014) Gumbel–Weibull distribution: properties and applications. J Mod Appl Stat Methods 13:201–225

Asgharzadeh A (2006) Point and interval estimation for a generalized logistic distribution under progressive type-II censoring. Commun Stat Theory Methods 35:1685–1702

Asgharzadeh A (2009) Approximate MLE for the scaled generalized exponential distribution under progressive type-II censoring. J Korean Stat Soc 38:223–229

Balakrishnan N, Aggarwala R (2000) Progressive censoring-theory, methods, and applications. Birkhausert, Boston

Balakrishnan N, Cramer E (2014) The art of progressive censoring. Springer, Berlin

Balakrishnan N, Sandhu RA (1995) A simple simulational algorithm for generating progressive type-II censored samples. Am Stat 49:229–230

Bourguignon M, Silva RB, Cordeiro GM (2014) The Weibull-G family of probability distributions. J Data Sci 12:53–68

Chandrakant, Rastogi MK, Tripathi YM (2017) On a Weibull-inverse exponential distribution. Ann Data Sci. https://doi.org/10.1007/s40745-017-0125-0

Cohen AC (1963) Progressively censored sample in life testing. Technome 5:327–339

Cordeiro GM, Lemonte AJ (2011) The $$\beta $$ β -Birnbaum–Saunders distribution: an improved distribution for fatigue life modeling. Comput Stat Data Anal 55:1445–1461

Efron B (1982) The jackknife, the bootstrap, and other resampling plans. Society of Industrial and Applied Mathematics CBMS-NSF Monographs, Philadelphia

Efron B, Tibshirani R (1986) Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy. Stat Sci 1:54–77

Hall P (1988) Theoretical comparison of bootstrap confidence intervals. Ann Stat 16:927–953

Hall P (1992) The bootstrap and edgeworth expansion. Springer, New York

Hastings WK (1970) Monte Carlo sampling methods using Markov chains and their applications. Biometrika 57:97–109

Hofmann G, Cramer E, Balakrishnan N, Kunert G (2005) An asympotic approach to progressive censoring. J Stat Plan Inference 130:207–227

Huang SR, Wu SJ (2012) Bayesian estimation and prediction for Weibull model with progressive censoring. J Stat Comput Simul 82:1607–1620

Kayal T, Tripathi YM, Singh DP, Rastogi MK (2017) Estimation and prediction for Chen distribution with bathtub shape under progressive censoring. J Stat Comput Simul 87:348–366

Kundu D (2008) Bayesian inference and life testing plan for Weibull distribution in presence of progressive censoring. Technome. 50:144–154

Kundu D, Kannan N, Balakrishnan N (2004) Analysis of progressively censored competing risks data. Handb Stat Surviv Anal 23:331–348

Kundu D, Pradhan B (2009) Bayesian inference and life testing plans for generalized exponential distribution. Sci China Ser A Math 52:1373–1388

Lawless JF (1982) Statistical models and methods for lifetime data. Wiley, New York

Lindley DV (1980) Approximate Bayesian methods. Trab Estad 31:223–237

Metropolis N, Rosenbluth AW, Rosenbluth MN, Teller AH, Teller E (1953) Equations of state calculations by fast computing machines. J Chem Phys 21:1087–1092

Nichols MD, Padgett WJ (2006) A bootstrap control chart for Weibull percentiles. Qual Reliab Eng Int 22:141–151

Oguntunde PE, Balogun OS, Okagbue HI, Bishop SA (2015) The Weibull-exponential distribution: its properties and applications. J Appl Sci 54:374–380

Pradhan B, Kundu D (2009) On progressively censored generalized exponential distribution. Test 18:497–515

Pradhan B, Kundu D (2013) Inference and optimal censoring schemes for progressively censored Birnbaum–Saunders distribution. J Stat Plan Inf 143:1098–1108

Sen A, Kannan N, Kundu D (2013) Bayesian planning and inference of a progressively censored sample from linear hazard rate distribution. Comput Stat Data Anal 62:108–121

Smith RL, Naylor JC (1987) A comparison of maximum likelihood and bayesian estimators for the three-parameter Weibull distribution. Appl Stat 15:1305–1311

Wu SJ (2008) Estimation of the two parameter bathtub-shaped lifetime distribution with progressive censoring. J Appl Stat 35:1139–1150