On some mixture models based on the BirnbaumSaunders distribution and associated inference
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Narayanaswamy Balakrishnan | Debasis Kundu | Víctor Leiva | Antonio Sanhueza | N. Balakrishnan | D. Kundu | Ramesh C. Gupta | V. Leiva | Ramesh C. Gupta | A. Sanhueza
[1] Xuewen Lu,et al. Estimation of the Birnbaum-Saunders regression model with current status data , 2010, Comput. Stat. Data Anal..
[2] Narayanaswamy Balakrishnan,et al. A Skewed Sinh-Normal Distribution and Its Properties and Application to Air Pollution , 2010 .
[3] Samuel Kotz,et al. A UNIFIED MIXTURE MODEL BASED ON THE INVERSE GAUSSIAN DISTRIBUTION , 2010 .
[4] José M. Angulo,et al. A length-biased version of the Birnbaum-Saunders distribution with application in water quality , 2009 .
[5] Narayanaswamy Balakrishnan,et al. Mixture inverse Gaussian distributions and its transformations, moments and applications , 2009 .
[6] Narayanaswamy Balakrishnan,et al. Estimation in the Birnbaum-Saunders distribution based on scale-mixture of normals and the EM-algorithm , 2009 .
[7] Gilberto A. Paula,et al. Generalized Birnbaum‐Saunders distributions applied to air pollutant concentration , 2008 .
[8] Víctor Leiva,et al. A new class of survival regression models with heavy-tailed errors: robustness and diagnostics , 2008, Lifetime data analysis.
[9] Narayanaswamy Balakrishnan,et al. The Generalized Birnbaum–Saunders Distribution and Its Theory, Methodology, and Application , 2008 .
[10] Debasis Kundu,et al. On the hazard function of Birnbaum-Saunders distribution and associated inference , 2008, Comput. Stat. Data Anal..
[11] Gilberto A. Paula,et al. Influence diagnostics in log-Birnbaum-Saunders regression models with censored data , 2007, Comput. Stat. Data Anal..
[12] Narayanaswamy Balakrishnan,et al. Acceptance Sampling Plans from Truncated Life Tests Based on the Generalized Birnbaum–Saunders Distribution , 2007, Commun. Stat. Simul. Comput..
[13] Debasis Kundu,et al. Erratum to "Point and interval estimation for the two-parameter Birnbaum-Saunders distribution based on Type-II censored samples": [Computational Statistics & Data Analysis 50 (2006) 3222-3242] , 2007, Comput. Stat. Data Anal..
[14] Debasis Kundu,et al. Point and interval estimation for the two-parameter Birnbaum-Saunders distribution based on Type-II censored samples , 2006, Comput. Stat. Data Anal..
[15] Debasis Kundu,et al. Modified moment estimation for the two-parameter Birnbaum-Saunders distribution , 2003, Comput. Stat. Data Anal..
[16] E. Olusegun George,et al. On stochastic inequalities and comparisons of reliability measures for weighted distributions , 2002 .
[17] P. Sansgiry,et al. RELIABILITY ESTIMATION VIA LENGTH-BIASED TRANSFORMATION , 2001 .
[18] G. P. Patil,et al. Weighted distributions , 2001 .
[19] Geoffrey J. McLachlan,et al. Finite Mixture Models , 2019, Annual Review of Statistics and Its Application.
[20] Ananda Sen,et al. The Theory of Dispersion Models , 1997, Technometrics.
[21] Estimation of critical points in the mixture inverse Gaussian model , 1997 .
[22] C. Chatfield. Continuous Univariate Distributions, Vol. 1 , 1995 .
[23] N. L. Johnson,et al. Continuous Univariate Distributions. , 1995 .
[24] Ramesh C. Gupta,et al. On the reliability studies of a weighted inverse Gaussian model , 1995 .
[25] V. Seshadri. The Inverse Gaussian Distribution: A Case Study in Exponential Families , 1994 .
[26] Y. Bechtel,et al. A population and family study N‐acetyltransferase using caffeine urinary metabolites , 1993, Clinical pharmacology and therapeutics.
[27] A. Basu,et al. The Inverse Gaussian Distribution , 1993 .
[28] B. Jørgensen,et al. On the mixture of the inverse Gaussian distribution with its complementary reciprocal , 1991 .
[29] Raj S. Chhikara,et al. The Inverse Gaussian Distribution , 1990 .
[30] Ramesh C. Gupta,et al. The role of weighted distributions in stochastic modeling , 1990 .
[31] R. Khattree. Characterization of inverse-Gaussian and gamma distributions through their length-biased distributions , 1989 .
[32] N. Mendell,et al. Probabilistic Measures of Adequacy of a Numerical Search for a Global Maximum , 1989 .
[33] Relations for reliability measures of weighted distributions , 1989 .
[34] A. F. Desmond,et al. On the Relationship between Two Fatigue-Life Models , 1986, IEEE Transactions on Reliability.
[35] Jerome P. Keating,et al. Relations for Reliability Measures Under Length Biased Sampling , 1986 .
[36] A. Desmond. Stochastic models of failure in random environments , 1985 .
[37] Arthur Fries,et al. Fatigue Failure Models ߝ Birnbaum-Saunders vs. Inverse Gaussian , 1982, IEEE Transactions on Reliability.
[38] T. Louis. Finding the Observed Information Matrix When Using the EM Algorithm , 1982 .
[39] B. Jørgensen. Statistical Properties of the Generalized Inverse Gaussian Distribution , 1981 .
[40] B. Dhillon. Life Distributions , 1981, IEEE Transactions on Reliability.
[41] Lee J. Bain,et al. Inferences on the Parameters of the Birnbaum-Saunders Fatigue Life Distribution Based on Maximum Likelihood Estimation , 1981 .
[42] B. Efron,et al. Assessing the accuracy of the maximum likelihood estimator: Observed versus expected Fisher information , 1978 .
[43] C. R. Rao,et al. Weighted distributions and size-biased sampling with applications to wildlife populations and human families , 1978 .
[44] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[45] Donald B. Rubin,et al. Max-imum Likelihood from Incomplete Data , 1972 .
[46] Z. Birnbaum,et al. A new family of life distributions , 1969, Journal of Applied Probability.
[47] C. R. Rao,et al. On discrete distributions arising out of methods of ascertainment , 1965 .
[48] R. Fisher. THE EFFECT OF METHODS OF ASCERTAINMENT UPON THE ESTIMATION OF FREQUENCIES , 1934 .