inverse Gaussian distribution
Bayes Shrinkage Minimax Estimation in Inverse Gaussian Distribution
... The Inverse Gaussian distribution plays an important role in Reliability theory and Life testing problems. It has useful applications in a wide variety of fields such as Biology, Economics, and ...
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Goodness-of-fit testing for the inverse Gaussian distribution based on new entropy estimation using ranked set sampling and double ranked set sampling
... the inverse Gaussian distribution are suggested using SRS, RSS and DRSS based on the maximum entropy ...the inverse Gaussian ...
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Promotion time cure model with generalized Poisson-Inverse Gaussian Distribution
... Poisson-inverse Gaussian distribution (GPIG) will be presented for the latent variable of N, and the novel model which is obtained will be utilized in analyzing long-term survival data caused by skin ...
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Robustness of Bayesian results for Inverse Gaussian distribution under ML II epsilon contaminated and Edgeworth Series class of prior distributions
... The numerical illustrations suggest that moderate amount of misspecification in prior distributions belonging to the class of ML-II ε-contaminated and ESD does not affect the Bayesian results. The mathematical results ...
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Estimation of the reciprocal of the mean of the Inverse Gaussian distribution with prior information
... The Inverse Gaussian distribution was first introduced by (Schrodinger, ...the Inverse Gaussian (IG) distribution has received considerable attention in the statistical ...
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Survival Analysis of Time-to-First birth after marriage in Nigeria using three parameter inverse gaussian distribution
... The distribution of FBI identified from exploratory data analysis is inverse Gaussian and is subsequently adopted to construct the survival model for the ...new distribution is developed for ...
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A modified Bessel distribution of the second kind
... The data consist of the number of million revolutions before failure for each of 23 ball bearings used in a life test. The background details about the data can be found in Lieblein and Zelen (1956). Chhikara and Folks ...
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EMPIRICAL BAYES ANALYSIS OF TWO-FACTOR EXPERIMENTS UNDER INVERSE GAUSSIAN MODEL
... We have proposed an empirical Bayes procedure for analysis of the data from a two-factor experiment when they are assumed to follow an Inverse Gaussian Distribution. Conjugate priors have been used. ...
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Modeling and forecasting foreign exchange daily closing prices with normal inverse Gaussian
... normal inverse Gaussian distribution and their fu- ture prices forcasted with NIG-Lévy ...NIG distribution, but future prices can be forcasted with NIG-Lévy process; almost the same conclusion ...
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Regime Switching And Levy Jump Dynamics In Option Adjusted Spreads
... A regime-switching L´evy framework, where all parameter values depend on the value of a continuous time Markov chain as per Chevallier and Goutte (2017), is employed to study US Corporate Option-Adjusted Spreads (OASs). ...
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Cognitive Radio Performance Analysis and Threshold Optimization of Energy Detection over Inverse Gaussian Channel with Selection Combining Reception
... over inverse Gaussian distribution with well-known diversity scheme such as Selection Combining (SC) nothing that, though maximum ratio combing (MRC) provides the best improvement in the system ...
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Revisit of relationships and models for the Birnbaum-Saunders and inverse-Gaussian distributions
... lifetime distribution, known as the Birnbaum- Saunders distribution (abbreviated as B-S hereafter), which is founded on modeling the failure of a specimen that is subjected to a cyclic pattern stresses and ...
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Excursions of risk processes with inverse gaussian processes and their applications in insurance
... Inverse Gaussian distribution has been extensively studied by Chhikara & Folks [14], [15] and [16], Chaubey, Garrido & Trudeau [12], Seshadri [72] & ...IG distribution as a life ...
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Generalized Exponential Models with Applications
... generalized inverse Gaussian distribution, which was pop- ularized in the late seventies by Ole Barndorff-Neilsen, is also extended by incorporating an additional parameter in its density function, ...
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A regression characterization of inverse Gaussian distributions and application to EDF goodness of fit tests
... of inverse Gaussian distributions using the re- gression of a suitable statistic based on a given random ...of inverse Gaussian distribution based on a con- ditional joint density ...
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Confluent gamma density in modelling tsunami interevent times
... the distribution of interevent times, conducted by Geist and Parsons (2008) concludes that there occurs many short interevent times than expected from an exponential distribution associated with a ...
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On the Alpha Power Inverse Weibull Distribution
... As the MLEs of the unknown parameters α, β and 𝝀 cannot be obtained in closed forms, it is difficult to derive the exact distributions of the MLEs. In this section, we derive the asymptotic confidence intervals of these ...
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Coherent CFAR detection in compound Gaussian clutter with inverse gamma texture
... compound Gaussian clutter model has provided radar researchers and engineers with a mathematically tractable model for correlated non-Gaussian radar returns ...locally Gaussian with a random power ...
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DNA Fragmentation Pattern and its Application in DNA Sample Type Classification
... Gaussian Blurring is used to reduce image noise and reduce image ...quality.The Gaussian function is used in numerous research ...probability distribution for noise or ...processing. Gaussian ...
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An elliptically symmetric angular Gaussian distribution
... a distribution on the unit sphere S d − 1 called the elliptically symmetric angular Gaussian distribu- ...This distribution, which to our knowledge has not been studied before, is a subfamily of the ...
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