We propose a method of estimation of the derivatives of probability density

based wavelets methods for a sequence of negatively dependent random variables with

a common one-dimensional probability density ...

Let {Xn, n=1} be a sequences of i.i.d. random variables with survival function F(x)=P[X1>x] .

A wavelet linear survival function n F(x) based on X1, X2,…, Xn is introduced as an estimator for n F(x) . We

establish ...

Nonparametric Estimation of

Weproposeamethodofestimationofthederivativesofprobabilitydensity

based waveletsmethodsforasequenceofnegativelyassociatedrandomvari-

ables withacommonone-dimensionalprobabilitydensityfunctionandobtain

an ...

فرض کنید یک دنباله از فرایندهای تصادفی زمان گسسته با تابع بقا باشند. در این مقاله برآوردگر تابع بقا برای این دنباله از متغیرهای تصادفی معرفی می شود. در ادامه مقاله سرعت همگرایی و سازگاری برآوردگر معرفی شده مورد بررسی ...

in this paper, we introduce the application of wavelets in medical statistical sciences.

The filed of nonparametric function estimation has broadened its appeal in recent years with an array of new tools for statistical analysis. In particular, theoretical and applied research on the filed of wavelets has had ...

Time series and regression are two powerful tools which are used in many areas of management research. In this talk we discuss the common errors which may happen in statistical modeling and forecasting. After reviewing ...

Nonparametric regression function by wavelets, estimated. the rate of convergence obtained.

Here, we propose a method of estimation of the derivatives

of probability density based wavelets methods for a sequence

of m−dependent random variables with a common one-dimensional

probability density ...