N-W Kernel Regression Estimation for Correlation Function of Bivariate Extremes Copula Function

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Two-stage estimation using copula function

‎Maximum likelihood estimation of multivariate distributions needs solving a optimization problem with large dimentions (to the number of unknown parameters) but two‎- ‎stage estimation divides this problem to several simple optimizations‎. ‎It saves significant amount of computational time‎. ‎Two methods are investigated for estimation consistency check‎. ‎We revisit Sankaran and Nair's bivari...

متن کامل

Wavelet-Kernel Estimation of Regression Function for Uniformly Mixing Process

Methods of estimation of density and regression function are quite common in statistical applications. Wavelet theory has the potential to provide statisticians with powerful new techniques for nonparametric inference. It combines recent advances in approximation theory with insights gained from applied signal analysis. Nonparametric curve estimation by wavelets has been treated in numerous art...

متن کامل

Tail dependence for weighted mean of two copula function

In this paper, we study the properties of power weighted means, arithmetic, geometry and harmonic for two copulas.

متن کامل

Sequential Kernel Estimation of a Multivariate Regression Function

This paper presents a sequential estimation procedure for an unknown multivariate regression function. Observed regressors and noises of the model are supposed to be dependent and form sequences of dependent vectors and numbers respectively. Two types of estimators are considered. Both estimators are constructed on the basis of Nadaraya–Watson kernel estimators. First, sequential estimators wit...

متن کامل

Almost Sure Convergence of Kernel Bivariate Distribution Function Estimator under Negative Association

Let {Xn ,n=>1} be a strictly stationary sequence of negatively associated random variables, with common distribution function F. In this paper, we consider the estimation of the two-dimensional distribution function of (X1, Xk+1) for fixed $K /in N$ based on kernel type estimators. We introduce asymptotic normality and properties and moments. From these we derive the optimal bandwidth...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Statistics and Application

سال: 2018

ISSN: 2325-2251,2325-226X

DOI: 10.12677/sa.2018.72027