statistical frequency analysis is the most common procedure for the analysis of flood data at a gauged location thatin first step it is needed to select a model to represent the population. among them, the central moment has been themost common and widely used, and with the using of computers, the application of the maximum likelihood hasincreased. this research was carried out in order to reco...

statistical frequency analysis is the most common procedure for the analysis of flood data at a gauged location thatin first step it is needed to select a model to represent the population. among them, the central moment has been themost common and widely used, and with the using of computers, the application of the maximum likelihood hasincreased. this research was carried out in order to reco...

Statistical frequency analysis is the most common procedure for the analysis of flood data at a gauged location thatin first step it is needed to select a model to represent the population. Among them, the central moment has been themost common and widely used, and with the using of computers, the application of the maximum likelihood hasincreased. This research was carried out in order to reco...

‎Bucket recursive trees are an interesting and natural‎ ‎generalization of ordinary recursive trees and have a connection‎ to mathematical chemistry‎. ‎In this paper‎, ‎we give the lower and upper bounds for the moment generating‎ ‎function and moments of the multiplicative Zagreb indices in a‎ ‎randomly chosen bucket recursive tree of size $n$ with maximal bucket size $bgeq1$‎. Also, ‎we consi...

Ridge regression, perturbing the design moment matrix via a parameter k, persists in the study of ill-conditioned systems. Ridge traces, exhibiting solutions as functions of k, are intended to reflect stability as k evolves, in contrast to transient instabilities in ordinary least squares. This study examines derivative traces as analytic tools regarding stability, and develops rational represe...

The maximum entropy (M.E.) approach to the nite Hausdorr moment problem is studied, a new approach to prove the necessary and suucient conditions for the existence of M.E. solution is considered by transforming the moment problem into a system of ordinary diierential equations. The new technique allows also to prove entropy convergence of the resulting sequence of maximum entropy extimators, an...

This paper discusses the application of moment closures to continuous Markov chains derived from process algebras such as GPEPA and MASSPA. Two related approaches are being investigated. Firstly we re-formulate normal moment closure in a process algebra framework using Isserlis’ theorem. Secondly we apply a mixture of this normal closure and less precise moment closures for the purpose of reduc...