A Nonparametric Test for Randomly Censored Data-Reference-Cited by-同舟云学术

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A Nonparametric Test for Randomly Censored Data

Published:2023-10-26 Issue: Volume: Page:
ISSN:2198-5804
Container-title:Annals of Data Science
language:en
Short-container-title:Ann. Data. Sci.

Author:

Ayushee ^ORCID,Kumar Narinder,Goyal Manish

Funder

Department of Science and Technology-INSPIRE Fellowship, New Delhi

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/s40745-023-00500-5.pdf

Reference20 articles.

1. Olson DL, Shi Y (2007) Introduction to business data mining. McGraw-Hill/Irwin, New York.

2. Shi Y, Tian YJ, Kou G, Peng Y, Li JP (2011) Optimization based data mining: theory and applications, Springer, Berlin

3. Tien JM (2017) Internet of things, real-time decision making, and artificial intelligence. Ann Data Sci 4(2):149–178. https://doi.org/10.1007/s40745-017-0112-5

4. Shi Y (2022) Advances in big data analytics: theory, algorithm and practice. Springer, Singapore

5. Wilcoxon F (1945) Individual comparisons by ranking methods. Biometrika 1(6):80–83. https://doi.org/10.2307/3001968

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