A Collection of New Trigonometric- and Hyperbolic-FGM-Type Copulas

نویسندگان

چکیده

Copula analysis was created to explain the dependence of two or more quantitative variables. Due need for in-depth data involving complex variable relationships, there is always a new copula models with original features. As modern example, circular periodic types, trigonometric copulas are particularly attractive and recommended. This is, however, an underexploited topic. In this article, we propose collection eight hyperbolic copulas, four based on sine function others tangent function, all derived from construction famous Farlie–Gumbel–Morgenstern copula. addition their functionalities, proposed have feature depending three parameters complementary roles: one parameter; shape last can be viewed as angle parameter. our main findings, each determine wide range admissible values these parameters. Subsequently, capabilities, features, functions thoroughly examined. The shapes some illustrated graphically. Theoretically, symmetry in general, stochastic dominance, quadrant dependence, tail Archimedean nature, correlation measures, inference investigated. Some help figures. On other hand, two-dimensional inequalities established may separate interest.

برای دانلود رایگان 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

A new extension of bivariate FGM copulas

We propose a new family of copulas generalizing the Farlie-Gumbel-Morgenstern family and generated by two univariate functions. The main feature of this family is to permit the modeling of high positive dependence. In particular, it is established that the range of the Spearman’s Rho is [−3/4, 1] and that the upper tail dependence coefficient can reach any value in [0, 1]. Necessary and suffici...

متن کامل

Why Are FGM Copulas Successful: A Simple Explanation

One of the most computationally convenient non-redundant ways to describe the dependence between two variables is by describing the corresponding copula. In many application, a special class of copulas – known as FGM copulas – turned out to be most successful in describing the dependence between quantities. The main result of this paper is that these copulas are the fastest-to-compute, and this...

متن کامل

Bivariate Kumaraswamy Models via Modified FGM Copulas: Properties and Applications

A copula is a useful tool for constructing bivariate and/or multivariate distributions. In this article, we consider a new modified class of FGM (Farlie–Gumbel–Morgenstern) bivariate copula for constructing several different bivariate Kumaraswamy type copulas and discuss their structural properties, including dependence structures. It is established that construction of bivariate distributions ...

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: AppliedMath

سال: 2023

ISSN: ['2673-9909']

DOI: https://doi.org/10.3390/appliedmath3010010