Joint weak hazard rate order under non-symmetric copulas

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

Cesaro Supermodular Order and Archimedean Copulas

In this paper, we introduce a new kind of order, Cesaro supermodular order, which includes supermodular order and stochastic order. For this new order, we show that it almost fulfils all desirable properties of a multivariate positive dependence order that have been proposed by Joe (1997). Also, we obtain some relations between it with other orders. Finally, we consider different issues related...

متن کامل

Hazard Rate Ordering of Order Statistics and Systems

Let X = (X1, X2, . . . , Xn) be an exchangeable random vector, and write X(1:i) = min{X1, X2, . . . , Xi}, 1 ≤ i ≤ n. In this paper we obtain conditions under which X(1:i) decreases in i in the hazard rate order. A result involving more general (that is, not necessarily exchangeable) random vectors is also derived. These results are applied to obtain the limiting behaviour of the hazard rate fu...

متن کامل

On the reversed hazard rate of sequential order statistics

Sequential order statistics can be used to describe the lifetime of a system with n components which works as long as k components function assuming that failures possibly affect the lifetimes of remaining units. In this work, the reversed hazard rates of sequential order statistics are examined. Conditions for the reversed hazard rate ordering and the decreasing reversed hazard rate property o...

متن کامل

Nonparametric Estimation of Hazard Rate under the Constraint of Monotonicity

We show how to smoothly`monotonise' standard kernel estimators of hazard rate, using bootstrap weights. Our method takes a variety of forms, depending on choice of kernel estimator and on the distance function used to deene a certain constrained optimisation problem. We connne attention to a particularly simple kernel approach, and explore a range of distance functions. It is straightforward to...

متن کامل

An Empirical Central Limit Theorem with applications to copulas under weak dependence

We state a multidimensional Functional Central Limit Theorem for weakly dependent random vectors. We apply this result to copulas. We get the weak convergence of the empirical copula process and of its smoothed version. The finite dimensional convergence of smoothed copula densities is also proved. A new definition and the theoretical analysis of conditional copulas and their empirical counterp...

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: Dependence Modeling

سال: 2016

ISSN: 2300-2298

DOI: 10.1515/demo-2016-0010