Goodness of fit of the distribution function governing the time to occurrence of a recurrent event is considered. We develop a chi-squared type of test (henceforward called R test) based on a nonparametric maximum likelihood estimator (NPMLE) of the inter-event time distribution for recurrent events. The test compares a parametric null to the NPMLE over k partitions of a calendar time over the ...

The aim of this study is to propose a new target recognition method for the multi-sensor with multiple characteristics indexes. Coefficient of variation is used to determine the weights of characteristic indexes. The conceptions of ideal optimal and negative ideal vectors are given first and then normalized relative ratio is used to comprehensive evaluation value. Hence the rule of target recog...

In a variety of applications (including automatic target recognition) image classification algorithms operate on compressed image data. This paper explores the design of optimal transform coders and scalar quantizers using Chernoff bounds on probability of misclassification as the measure of classification accuracy. This design improves classification performance but the mean square error (as w...

In 1+1 dimensional hydrodynamics originally proposed by Landau, we derive a new potential and distribution function including Heaviside function and investigate its mathematical and physical properties. Using the original distribution derived by Landau, a distribution function found by Srivastava et al., our distribution function, and the Gaussian distribution proposed by Carruthers et al., we ...

Introduction: 18F-FDG PET/CT has emerged as one of the fastest growing imaging modalities. A shorter protocol results in lower target-to-background ratio, which can make identification of mildly FDG-avid lesions and differentiation of inflammatory or physiologic from malignant activity more challenging. The purpose of this study was to find the optimal time delay between radiotracer injection a...