Progressive Type-II Censored Samples for Bivariate Weibull Distribution with Economic and Medical Applications-Reference-Cited by-同舟云学术

Progressive Type-II Censored Samples for Bivariate Weibull Distribution with Economic and Medical Applications

Published:2022-03-24 Issue: Volume: Page:
ISSN:2198-5804
Container-title:Annals of Data Science
language:en
Short-container-title:Ann. Data. Sci.

Author:

El-Sherpieny El-Sayed A.,Muhammed Hiba Z.,Almetwally Ehab M.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Statistics, Probability and Uncertainty,Computer Science Applications,Business, Management and Accounting (miscellaneous)

Link

https://link.springer.com/content/pdf/10.1007/s40745-022-00375-y.pdf

Reference24 articles.

1. Flores AQ (2009) Testing copula functions as a method to derive bivariate Weibull distributions. In American Political Science Association (APSA), Annual Meeting.‏

2. Kundu D, Dey AK (2009) Estimating the parameters of the Marshall-Olkin bivariate Weibull distribution by EM algorithm. Comput Stat Data Anal 53(4):956–965

3. Kundu D, Gupta AK (2013) Bayes estimation for the Marshall-Olkin bivariate Weibull distribution. Comput Stat Data Anal 57(1):271–281

4. Almetwally EM, Muhammed HZ (2020) On a bivariate Fréchet distribution. J Stat Appl Probab 9(1):1–21

5. El-Sherpieny ESA, Muhammed HZ and Almetwally EM (2021) Bivariate weibull-G family based on copula function: properties, bayesian and non-bayesian estimation and applications. Statistics Optimization & Information Computing. https://doi.org/10.19139/soic-2310-5070-1129

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