• No results found

[PDF] Top 20 Generalized Entropy of Order Statistics

Has 10000 "Generalized Entropy of Order Statistics" found on our website. Below are the top 20 most common "Generalized Entropy of Order Statistics".

Generalized Entropy of Order Statistics

Generalized Entropy of Order Statistics

... Order statistics has been studied by statisticians for some time and has been applied to problems of statistical estimation [2], reliability analysis, image coding [3] ...of order statistics ... See full document

6

Inferences under a Class of Finite Mixture Distributions Based on Generalized Order Statistics

Inferences under a Class of Finite Mixture Distributions Based on Generalized Order Statistics

... [18] S. F. Ateya and A. A. Ahmad, “Inferences Based on Gen- eralized Order Statistics under Truncated Type I general- ized Logistic Distribution,” Statistics, Vol. 45, No. 4, 2011, pp. 389-402. ... See full document

14

Some Characterization Results based on Conditional Expectation of function of Dual Generalized Order Statistics

Some Characterization Results based on Conditional Expectation of function of Dual Generalized Order Statistics

... Khan et al. (2010) have characterized the general class of distributions through conditional expectation of dgos conditioned on non-adjacent dgos .We have extended the result of Khan et al. (2010) for the difference of ... See full document

11

Bayesian Prediction based on an Adaptive Type II Progressive Censored Data from the Generalized Exponential Distribution

Bayesian Prediction based on an Adaptive Type II Progressive Censored Data from the Generalized Exponential Distribution

... is applied to construct the Bayesian prediction intervals of the order statistics from a future sample from the same distribution. Finally, in Section 4, results from simulation studies assessing the ... See full document

6

Bayesian and Non Bayesian Estimation of the Inverse Weibull Model Based on Generalized Order Statistics

Bayesian and Non Bayesian Estimation of the Inverse Weibull Model Based on Generalized Order Statistics

... In general, it is not easy to find a natural interpretation of generalized order statistics in terms of observed random samples. So, an interesting special cases such as the pro- gressive Type II ... See full document

9

Relations for Moments of Dual Generalized Order Statistics for a New Inverse Kumaraswamy Distribution

Relations for Moments of Dual Generalized Order Statistics for a New Inverse Kumaraswamy Distribution

... In this paper we have obtained the recurrence relations for moments of DGOS for the new inverse Kumaraswamy distribution. The relations have been obtained for single, inverse, product and ratio moments of DGOS. These ... See full document

9

Generalized Maximum Entropy Estimation

Generalized Maximum Entropy Estimation

... to order M at time t and ζ (t) is an infinite vector describing the contains moments of order M + 1 or ...higher order moments affect the evolution of the first M ...first order reactions the ... See full document

29

Prediction Based on Generalized Order Statistics from a Mixture of Rayleigh Distributions Using MCMC Algorithm

Prediction Based on Generalized Order Statistics from a Mixture of Rayleigh Distributions Using MCMC Algorithm

... future order statistics and records from homogeneous and heterogeneous popu- lations that can be represented by single component dis- tribution and finite mixtures of distributions, ... See full document

12

On the Tractability of Transmuted Type I Generalized Logistic Distribution with Application

On the Tractability of Transmuted Type I Generalized Logistic Distribution with Application

... I generalized logistic distribution called transmuted type I generalized logistic ...is generalized by the use of quadratic rank transmutation ...I generalized logistic distribution are ... See full document

6

Bayesian Inference for Concomitants based on Weibull Subfamily of Morgenstern Family Under Generalized Order Statistics

Bayesian Inference for Concomitants based on Weibull Subfamily of Morgenstern Family Under Generalized Order Statistics

... of generalized order statistics ( GOS ’s) is used to obtain the maximum likelihood estimates (MLE) and Bayes estimates for the distribution ...of order statistics are ... See full document

15

Non-linear Bayesian prediction of generalized order statistics for liftime models

Non-linear Bayesian prediction of generalized order statistics for liftime models

... Prediction is one of the most important topics in statistical inference. Several authors (Geisser ([15], [16]), Al-Hussaini and Jaheen ([8], [9]), Dunsmore and Amin [14] and Al-Hussaini [6]) have predicted future ... See full document

10

A Novel DOA Estimation Method under the Impulsive Noise Environments

A Novel DOA Estimation Method under the Impulsive Noise Environments

... cyclic statistics degenerates severely under the impulsive noise conditions, the generalized cyclic cross correntropy is defined, and a novel method is proposed to obtain the DOA estimation based on the ... See full document

5

Skew-Type I Generalized Logistic Distribution and its Properties

Skew-Type I Generalized Logistic Distribution and its Properties

... This paper is organized as follows. In the next section we derive the CDF of S'GLD( ). In Section 3 we obtained the moment generating function. Skewness and Kurtosis of S'GLD( ) are given in Section 4, and in Section 5, ... See full document

16

A New Generalized Fuzzy Information Measure and Its Properties

A New Generalized Fuzzy Information Measure and Its Properties

... 1649 | P a g e Bhandari and Pal [11] gave some new measures corresponding to Renyi’s [7] entropy measure of order α after surveying the literature available on information measures of fuzzy sets. They ... See full document

8

A Simple Mechanism for Beyond-Pairwise Correlations in Integrate-and-Fire Neurons

A Simple Mechanism for Beyond-Pairwise Correlations in Integrate-and-Fire Neurons

... population statistics is significant for two ...Bernoulli generalized linear model (see the appendix), our finding indicates that this very broad class of statistical models may be able to capture the ... See full document

13

Concomitants of Generalized Order Statistics for a Bivariate Weibull Distribution

Concomitants of Generalized Order Statistics for a Bivariate Weibull Distribution

... Sometime it happen that a sample is available from a bivariate distribution, say F x y   , , and sample is arranged with respect to one of the variable, say X. The other variable, Y, is shuffled alongside the variable ... See full document

8

Nonextensive statistics of Landsberg-Vedral entropy

Nonextensive statistics of Landsberg-Vedral entropy

... Tsallis statistics may have some indeterminacy in its formulation related to the generalized expectation values and the normalization condition for the probabilities of mi- crostates [12, ...nonextensive ... See full document

7

Concomitants of Generalized Order Statistics for a Bivariate Exponential Distribution

Concomitants of Generalized Order Statistics for a Bivariate Exponential Distribution

... The distribution (3.4) reduces to the distribution of concomitants for rth Order Statistics for m=0 and k=1 as obtained by Shahbaz et al. (2009). Further (3.4) reduces to the distribution of concomitants of ... See full document

8

Recurrence Relations For Single And Product Moments Of Ordinary Order Statistics From Double Truncated Pth Order Inverse Exponential Distribution

Recurrence Relations For Single And Product Moments Of Ordinary Order Statistics From Double Truncated Pth Order Inverse Exponential Distribution

... order inverse exponential distribution. This distribution generalizes inverse family of exponential distributions and has many applications in reliability analysis. The results so obtained are generalized ... See full document

10

Order Statistics Properties of the Two Parameter Lomax Distribution

Order Statistics Properties of the Two Parameter Lomax Distribution

... In many realistic situation uncertainty is not necessarily related to future but can also refer to past. Based on this idea, Crescenzo and Longobardi (2004) develop the concept of past entropy over ( ) If denote ... See full document

14

Show all 10000 documents...