On some mixture models based on the BirnbaumSaunders distribution and associated inference

[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 .