An inspection of signal processing approach in order to estimate underwater network cardinalities is conducted in this research. A matter of key prominence for underwater network is its cardinality estimation as the number of active cardinalities varies several times due to numerous natural and artificial reasons due to harsh underwater circumstances. So, a proper estimation technique is mandat...

  These days, data mining one of the most significant issues. One field data mining is a mixture of computer science and statistics which is considerably limited due to increase in digital data and growth of computational power of computer. One of the domains of data mining is the software cost estimation category. In this article, classifying techniques of learning algorithm of machine ...

Kalman filtering has been widely considered for dynamic state estimation in smart grids. Despite its unique merits, the Kalman Filter (KF)-based dynamic state estimation can be undesirably influenced by cyber adversarial attacks that can potentially be launched against the communication links in the Cyber-Physical System (CPS). To enhance the security of KF-based state estimation, in this paper...

background often, there is no access to sufficient sample size to estimate the prevalence using the method of direct estimator in all areas. the aim of this study was to compare small area’s bayesian method and direct method in estimating the prevalence of steatosis in obese and overweight children. materials and methods: in this cross-sectional study, was conducted on 150 overweight and obese ...

Several empirical methods for flood flow rate estimation have been presented. In this study,eight new empirical runoff estimation method including Dredge & Burge, Bourges, Inglis, Faning, Hyderabad, Burkli Ziegler, Cramar and Possenti were calculated in Bakhtegan watershed which is located in Fars province. After studying empirical methods for annual flood flow rate estimation and comparing the...

Several empirical methods for flood flow rate estimation have been presented. In this study,eight new empirical runoff estimation method including Dredge & Burge, Bourges, Inglis, Faning, Hyderabad, Burkli Ziegler, Cramar and Possenti were calculated in Bakhtegan watershed which is located in Fars province. After studying empirical methods for annual flood flow rate estimation and comparing the...

This article focuses on the estimation of population proportion when the study variable is sensitive in nature. Two implicit randomized response techniques are proposed where the unrelated trait can be chosen subjectively. In addition to unbiased estimation of population proportion and variance, an empirical study is conducted to inspect the relative efficiency facet of the proposed techniques....

In the statistical estimation context, the difficulty in the transition from two– to threedimensional problems is much more than an increase in the number of pixels: the complexity per pixel is cubed!, even for efficient estimation algorithms. That is, even aside from the other challenges posed by 3D estimation (e.g., complex data structures, the difficulty of determining empirical statistics),...

Stuetzle and Mittal (1979) for ordinary nonparametric kernel regression and Kauermann and Tutz (1996) for nonparametric generalized linear model kernel regression constructed estimators with lower order bias than the usual estimators, without the need for devices such as second derivative estimation and multiple bandwidths of diierent order. We derive a similar estimator in the context of local...