We are used Bayes estimators for unknown scale parameter when shape Parameter is known of Erlang distribution. Assuming different informative priors parameter. derived The posterior density with mean and variance using which the inverse exponential distribution, chi-square Gamma standard Levy distribution as prior. And we based on general entropy loss function (GELF) Simulation method to obtain...

Data replication is an increasingly important topic as databases are more and more deployed over clusters of workstations. One of the challenges in database replication is to introduce replication without severely affecting performance. Because of this difficulty, current database products use lazy replication, which is very efficient but can compromise consistency. As an alternative, eager rep...

We developed an underwater image formation model that describes how light is absorbed and scattered by seawater and its constituents. We use the model to predict digital camera images of a reference target with known spectral reflectance at different distances and depths. We describe an inverse estimation method to derive three model parameters: phytoplankton absorption spectrum, chlorophyll co...

Conventional beamforming used in pulse-echo ultrasound images results in an inherent blurring. This blurring limits the resolution, and hence the utility, of pulse-echo ultrasound in clinical applications. Ng et al. developed an expectationmaximisation algorithm to enhance blurred, two-dimensional RF ultrasound images. It is important that the algorithm is intialised well in order that converge...

This paper considers the Bayesian point estimation of the scale parameter for a two-parameter gamma life-testl,g model In presence of several outller observations in the data. The Bayesian analysis is carried out under the assumption of squared error loss function and fixed or random shape parameter.

The objective of this paper is to define and study new generalized extended gamma functions. A generalized extended gamma probability density function involving generalized hypergeometric function is also defined. Closed form representations of the generalized gamma functions and the moment generating function are derived in the form of H-function using inverse Mellon transform techniques. Inco...

In Bayesian analysis, empirical and hierarchical methods are two main approaches for the estimation of parameter(s) involved in prior distribution one parameter. But multi-parameter model, e.g., Gamma(α, p), where both parameters unknown, idea ‘Partial Bayes (PB) Estimation’ is introduced. When we do no have proper belief regarding joint variable when estimating parameter presence others, such ...

The efficiency of a fingerprint authentication system depends on the quality of the fingerprint image. Enhancement of the fingerprint image is indispensable to get a good quality image. In this paper, a novel method is proposed to enhance the fingerprint image using Adaptive Gamma Parameter with Discrete Wavelet Transform (DWT). An automatic transformation technique that improves the brightness...