Results 281 to 290 of about 1,262,797 (340)

Inference for the two-parameter exponential distribution with generalized order statistics

Mathematical Population Studies, 2019
Inferences about estimation and prediction of the two-parameter exponential distribution are based on generalized order statistics. Point and interval estimates are used for scale and location parameters.
M. E. El-Adll
semanticscholar   +1 more source

Optimal generalized weighted-order-statistic filters

SPIE Proceedings, 1991
Abstract In this paper generalized weighted order statistic (GWOS) filters are introduced. As a subclassof generalized stack filters, GWOS filters can be implemented using a sorting operation in the realdomain. Based on the relationship between GWOS filters and neural networks, two efficient adaptivealgorithms are derived for finding optimal GWOS ...
Lin Yin, Jaakko T. Astola, Yrjo A. Neuvo
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General Order Statistics-Based Model

2018
In this chapter, a framework of software reliability models containing both information from software fault detection process and correction process is studied. Different from previous chapters, the proposed approach is based on Markov model other than a nonhomogeneous Poisson process model. Also, parameter estimation is carried out with weighted least-
Rui Peng, Yan-Fu Li, Yu Liu
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Generalized Pareto Distributions Characterized by Generalized Order Statistics

Communications in Statistics - Theory and Methods, 2007
In recent years, several attempts have been made to characterize the generalized Pareto distributions (GPD) based on the properties of order statistics and record values. In the present article, we give some characterization results on GPD based on order statistics and generalized order statistics.
M. Tavangar, M. Asadi
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Characterizations of q–Weibull distribution based on generalized order statistics

Journal of Statistics & Management Systems, 2019
In this paper, we present some characterizing results of the q–Weibull distribution based on conditional expectation, recurrence relations for single as well as product moments of generalized order statistics and truncated moment.
B. Singh, R. Khan, M. A. Khan
semanticscholar   +1 more source

On distributions Of generalized order statistics

Statistics, 2001
In a wide subclass of generalized order statistics, representations of marginal density and distribution functions are developed. The results are applied to obtain several relations, such as recurrence relations, and explicit expressions for the moments of generalized order statistics from Pareto, power function and Weibull distributions Moreover ...
Udo Kamps, Erhard Cramer
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Bootstrap for Extreme Generalized Order Statistics

Arabian Journal for Science and Engineering, 2011
In this paper we study some bootstrap properties of normalized extreme generalized order statistics under the assumption of a nondegenerate limit. The inconsistency, weak consistency and strong consistency of bootstrapping normalized extreme generalized order statistics for an appropriate choice of re-sample size are investigated when the normalizing ...
H. M. Barakat, E. M. Nigm, Magdy E. El-Adll   +2 more
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Generalized-order statistics with random indices

Communications in Statistics - Theory and Methods, 2017
ABSTRACTIn this paper, we study the asymptotic behavior of general sequence of extreme, intermediate and central generalized-order statistics (gos), as well as dual generalized-order statistics (dgos), which are connected asymptotically with some regularly varying functions.
H. M. Barakat, M. A. Abd Elgawad, Ting Yan   +2 more
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Fisher information in generalized order statistics

Statistics, 2012
A representation of the Fisher information in generalized order statistics in terms of the hazard rate of the underlying distribution function is derived under mild regularity conditions. This expression supplements results for complete, Type-II censored, and progressively Type-II censored data.
M. Burkschat, E. Cramer
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Some general identities involving order statistics

Communications in Statistics - Theory and Methods, 1985
Some identities involving the density functions of order statistics are derived* These generalize the results of Joshi (1973). These identities are highly useful In checking the computation of the moments of order statistics and also in establishing some interesting combinatorial results.
N. Balakrishnan, H.J. Malik
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