Information matrix for a mixture of two inverse gaussian distributions

DOI10.1080/03610918408812415zbMath0565.62007OpenAlexW2019878385MaRDI QIDQ3680053

Essam K. AL-Hussaini, Khalaf E. Ahmad

Publication date: 1984

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918408812415

zbMATH Keywords

Fisher information matrixpower series expansionidentifiability of finite mixturesLaguerre-Gauss quadrature formulamixture of two inverse Gaussian density functionsSimpson's method of integration

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Numerical quadrature and cubature formulas (65D32) Numerical integration (65D30) Probabilistic methods, stochastic differential equations (65C99) Statistical distribution theory (62E99)

Cites Work

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• Bivariate inverse Gaussian distribution
• ESTIMATION OF PARAMETERS OF MIXED EXPONENTIALLY DISTRIBUTED FAILURE TIME DISTRIBUTIONS FROM CENSORED LIFE TEST DATA
• On the identifiability of finite mixtures of distributions (Corresp.)
• Information matrix for a mixture of two exponential distributions
• Unsupervised learning and the identification of finite mixtures
• Stochastic estimation of a mixture of normal density functions using an information criterion
• Information matrix for a mixture of two normal distributions

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