In this paper, a Bayesian approach is proposed for shift point detection in an inverse Gaussian distribution. In this study, the mean parameter of inverse Gaussian distribution is assumed to be constant and shift points in shape parameter is considered. First the posterior distribution of shape parameter is obtained. Then the Bayes estimators are derived under a class of priors and using variou...

Shannon entropy is increasingly used in many applications. In this article, an estimator of the entropy of a continuous random variable is proposed. Consistency and scale invariance of variance and mean squared error of the proposed estimator is proved and then comparisons are made with Vasicek's (1976), van Es (1992), Ebrahimi et al. (1994) and Correa (1995) entropy estimators. A simulation st...

optical coherence tomography (oct) uses the spatial and temporal coherence properties of optical waves backscattered from a tissue sample to form an image. an inherent characteristic of coherent imaging is the presence of speckle noise. in this study we use a new ensemble framework which is a combination of several multi-layer perceptron (mlp) neural networks to denoise oct images. the noise is...

BACKGROUND Understanding the quality loss implications of short staffing is essential in maintaining service quality on a limited budget. OBJECTIVES For elaborate financial control on staffing decisions, it is necessary to quantify the cost of the incidental quality loss that a given workload and staffing level entail. DESIGN We develop a quantitative methodology that uses a quality loss fu...

To let introduce concept of error into statistics a central value (unknown true value) of error distribution is required then mean squared error can not be based (present status) on (true) random variable. In this paper mean squared error of mean estimation is introduced and mean squared error of estimation is dismissed.

We consider monitoring the quality of compressed video transmitted over a packet network from the perspective of a network service provider. We estimate the Mean-Squared Error (MSE) caused by packet loss by examining only the received video bitstream. We describe our FullParse method, which extracts sequence-specific information including spatio-temporal activity and the effects of error propag...

We address the question of how the approximation error/Bellman residual at each iteration of the Approximate Policy/Value Iteration algorithms influences the quality of the resulted policy. We quantify the performance loss as the Lp norm of the approximation error/Bellman residual at each iteration. Moreover, we show that the performance loss depends on the expectation of the squared Radon-Niko...