GOODNESS-OF-FIT TESTS FOR THE NEW WEIBULL-G FAMILY OF DISTRIBUTIONS

نویسندگان

چکیده

In this paper, we present two New models named New-Weibull-Weibull ($NWW$) and New-Weibull-Rayleigh ($NWR$) from The New-Wei- bull-G family recently introduced that can have a variety of hazard rate shapes allows to describe observations different fields study. unknown parameters the $NWW$ $NWR$ been estimated under maximum likelihood estimation method. Moreover, construct modified chi-squared goodness-of-fit test based on \textit{Nikulin– Rao–Robson} ($NRR$) statistic verify applicability proposed models. shows studied be used as good candidate for analyzing large real phenomena. are applied upon five complete right-censored data sets in order evaluate its practicability flexibility.

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

The Comparison Between Goodness of Fit Tests for Copula

‎Copula functions as a model can show the relationship between variables‎. ‎Appropriate copula function for a specific application is a function that shows the dependency between data in a best way‎. ‎Goodness of fit tests theoretically are the best way in selection of copula function‎. ‎Different ways of goodness of fit for copula exist‎. ‎In this paper we will examine the goodness of fit test...

متن کامل

New Goodness-of-fit Tests for Pareto Distributions*

A new approach to goodness-of-fit for Pareto distributions is introduced. Based on Euclidean distances between sample elements, the family of statistics and tests is indexed by an exponent in (0,2) on Euclidean distance. The corresponding tests are statistically consistent and have excellent performance when applied to heavy-tailed distributions. The exponent can be tailored to the particular P...

متن کامل

Nonparametric Goodness-of-Fit Tests for Discrete Null Distributions

Methodology extending nonparametric goodness-of-fit tests to discrete null distributions has existed for several decades. However, modern statistical software has generally failed to provide this methodology to users. We offer a revision of R’s ks.test() function and a new cvm.test() function that fill this need in the R language for two of the most popular nonparametric goodness-of-fit tests. ...

متن کامل

the washback effect of discretepoint vs. integrative tests on the retention of content in knowledge tests

در این پایان نامه تاثیر دو نوع تست جزیی نگر و کلی نگر بر به یادسپاری محتوا ارزیابی شده که نتایج نشان دهندهکارایی تستهای کلی نگر بیشتر از سایر آزمونها است

15 صفحه اول

An Observation about Goodness-of-fit Tests of Distributions

We consider univariate goodness-of-fit tests. A result stating the non-existence of a uniformly most powerful test, for all combinations of null and alternative distributions, which are completely specified, is given.

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: Advances in Mathematics

سال: 2023

ISSN: ['1857-8365', '1857-8438']

DOI: https://doi.org/10.37418/amsj.12.1.15