Now showing items 1-11 of 11

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      APPROXIMATING RANDOM DENSITY FUNCTIONS USING WAVELETS

      Salha, Raid B. (الجامعة الإسلامية بغزة, 1999-04)
      Wavelets are a new family of basis functions that can be used to express and approximate other functions. In this thesis, we investigate the use of wavelets in Probability Theory. This thesis consists of two parts. In ...
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      Bayesian Inference on Finite Mixtures of Exponential Distributions

      Saleh, Ahlam M (الجامعة الإسلامية - غزة, 2016)
      Mixed distributions are widely used to model data in which each observation is assumed to come from one of a number of different groups. In this thesis, we investigate the Bayesian estimation for the finite exponential ...
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      Bayesian Inference on Finite Mixtures of Poisson Distributions

      Abu Hamdah, Duaa F (الجامعة الإسلامية - غزة, 2015)
      Mixed Poisson distributions are widely used in various disciplines to model data in which each observation is assumed to come from one of a number of Poisson distributions with different parameters. In this thesis, we ...
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      Beyesian Statistical Inference on Mean Residual Life Function

      El Massri, Heba Basem Yousef (الجامعة الإسلامية - غزة, 2016)
      The mean residual function is very important in survival analysis, where lifetime distributions that model the time to a particular event are studied. This includes machine failure times, service and repair times, and event ...
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      Markov Chain Monte Carlo Method and Perfect Simulation

      Karam, Arwah Noaman (the islamic university, 2007)
      Markov Chain Monte Carlo method is used to sample from complicated multivariate distribution with normalizing constants that may not be computable and from which direct sampling is not feasible. Recent years have seen the ...
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      On the Characterization of Exponential and Uniform Distributions

      Abu Sharekh, Fadi Mohammed (the islamic university, 2009)
      On the Characterization of Exponential and Uniform Distributions
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      On the Metropolis-Hastings Algorithm

      Sinwar, Aya. A. (الجامعة الإسلامية - غزة, 2015)
      In this thesis, we introduce the Metropolis-Hastings algorithm which used to draw sequences of samples from a distribution that is either hard to sample from or its probability density function (pdf) is only known up to a ...
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      On the Random Walk Metropolis Algorithm

      Maima, Duaa Hatem Mohamed (الجامعة الإسلامية - غزة, 2015)
      The random walk Metropolis algorithm belongs to the collection of Markov Chain Mote Carlo (MCMC) methods that are used in statistical inference. It is one of the most common Markov Chain Mote Carlo methods in practical use ...
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      stopping times related to order statistics

      Al Sirr, Khalid Mohammed (the islamic university, 2003)
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      the gibbs sampler in bayesian in inference

      Asfour, Mohammed S (الجامعة الإسلامية - غزة, 2014)
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      The Properties of L-moments Compared to Conventional Moments

      Hamdan, Mohammed Soliman (the islamic university, 2009)
      In this thesis, we survey the concept of L-moments. We introduce the deflnition of L-moments and the probability weighted moments (PWMs) and then we expressed the L-moments by the use of the probability weighted moments. ...