On the multivariate skew-normal distribution and its scale mixtures.
Vernic, Raluca (2005)
Analele Ştiinţifice ale Universităţii “Ovidius" Constanţa. Seria: Matematică
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Displaying similar documents to “MLE for the γ-order Generalized Normal Distribution”
On the multivariate skew-normal distribution and its scale mixtures.
Parameter Estimation for a Bivariate Lifetime Distribution in Reliability with Multivariate Extensions.
G. Heinrich, U. Jensen (1995)
Metrika
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Minimax estimation of the parameters of the multivariate hypergeometric and multinomial distributions
M. Rutkowska (1977)
Applicationes Mathematicae
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On the robustness of properties characterizing the normal distribution
Boguslawa Bednarek-Kozek, A. Kozek (1972)
Applicationes Mathematicae
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Construction of multivariate distributions: a review of some recent results.
José María Sarabia, Emilio Gómez-Déniz (2008)
SORT
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The construction of multivariate distributions is an active field of research in theoretical and applied statistics. In this paper some recent developments in this field are reviewed. Specifically, we study and review the following set of methods: (a) Construction of multivariate distributions based on order statistics, (b) Methods based on mixtures, (c) Conditionally specified distributions, (d) Multivariate skew distributions, (e) Distributions based on the method of the variables...
Minimax estimation of a class of functions of the scale parameter in the gamma and other distributions in the case of truncated parameter space
M. Kałuszka (1988)
Applicationes Mathematicae
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Possible relationship existing in the distribution of electrolyte between the soap and the lye.
Eddy, N.O., Ukpong, I.J. (2006)
APPS. Applied Sciences
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Compound geometric and Poisson models
Nooshin Hakamipour, Sadegh Rezaei, Saralees Nadarajah (2015)
Kybernetika
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Many lifetime distributions are motivated only by mathematical interest. Here, eight new families of distributions are introduced. These distributions are motivated as models for the stress of a system consisting of components working in parallel/series and each component has a fixed number of sub-components working in parallel/series. Mathematical properties and estimation procedures are derived for one of the families of distributions. A real data application shows superior performance...
A note concerning the limit distribution of the quicksort algorithm
Michael Cramer (1996)
RAIRO - Theoretical Informatics and Applications - Informatique Théorique et Applications
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A multimodal beta distribution with application to economic data
Saralees Nadarajah, Samuel Kotz (2007)
Applicationes Mathematicae
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Beta distributions are popular models for economic data. In this paper, a new multimodal beta distribution with bathtub shaped failure rate function is introduced. Various structural properties of this distribution are derived, including its cdf, moments, mean deviation about the mean, mean deviation about the median, entropy, asymptotic distribution of the extreme order statistics, maximum likelihood estimates and the Fisher information matrix. Finally, an application to consumer price...
Test for Independence of the Variables with Missing Elements in One and the Same Column of the Empirical Correlation Matrix
Veleva, Evelina (2008)
Serdica Mathematical Journal
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2000 Mathematics Subject Classification: 62H15, 62H12. We consider variables with joint multivariate normal distribution and suppose that the sample correlation matrix has missing elements, located in one and the same column. Under these assumptions we derive the maximum likelihood ratio test for independence of the variables. We obtain also the maximum likelihood estimations for the missing values.
Minimax prediction of a sample distribution function
S. Trybuła (1978)
Applicationes Mathematicae
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The non-central g-distribution and its application
Matthev O. Ojo (2000)
Kragujevac Journal of Mathematics
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Generalized functions and their applications.
Stanković, Bogoljub (1998)
Novi Sad Journal of Mathematics
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Univariate parametric survival analysis using GS-distributions.
Albert Sorribas, José M. Muiño, Montserrat Rué, Joan Fibla (2006)
SORT
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The GS-distribution is a family of distributions that provide an accurate representation of any unimodal univariate continuous distribution. In this contribution we explore the utility of this family as a general model in survival analysis. We show that the survival function based on the GS-distribution is able to provide a model for univariate survival data and that appropriate estimates can be obtained. We develop some hypotheses tests that can be used for checking the underlying survival...