Advanced search
Publication Cover
Communications in Statistics - Theory and Methods Volume 43, 2014 - Issue 2
Submit an article Journal homepage
560
Views
14
CrossRef citations to date
0
Altmetric
Original Articles

Bayesian Survival Analysis of Head and Neck Cancer Data Using Lognormal Model

Puja Makkar Department of Statistics, Banaras Hindu University, Varanasi, IndiaCorrespondence[email protected]
,
Puneet K. Srivastava DST Centre for Interdisciplinary Mathematical Sciences, Banaras Hindu University, Varanasi, India
,
R. S. Singh Department of Statistics, University of Guelph, Guelph, Ontario, Canada
&
S. K. Upadhyay Department of Statistics, Banaras Hindu University, Varanasi, India; DST Centre for Interdisciplinary Mathematical Sciences, Banaras Hindu University, Varanasi, India
Pages 392-407 | Received 27 Aug 2010, Accepted 02 Feb 2012, Published online: 02 Jul 2013

Citations (14)

Keep up to date with the latest research on this topic with citation updates for this article.

Subscribe to citation updates

Read on this site (5)

A. Asgharzadeh, M. Alizadeh & M. Z. Raqab. (2024) Inverse Lindley distribution: different methods for estimating their PDF and CDF. Journal of Statistical Computation and Simulation 94:3, pages 604-623.
Read now
Mohammad Z. Raqab, Omar M. Bdair, Manoj K. Rastogi & Fahad M. Al-aboud. (2021) Inference for an exponentiated half logistic distribution with application to cancer hybrid censored data. Communications in Statistics - Simulation and Computation 50:4, pages 1178-1201.
Read now
Vikas Kumar Sharma. (2018) Bayesian analysis of head and neck cancer data using generalized inverse Lindley stress–strength reliability model. Communications in Statistics - Theory and Methods 47:5, pages 1155-1180.
Read now
Abhimanyu Singh Yadav, Sanjay Kumar Singh & Umesh Singh. (2018) Estimation of stress–strength reliability for inverse Weibull distribution under progressive type-II censoring scheme. Journal of Industrial and Production Engineering 35:1, pages 48-55.
Read now
Vikas Kumar Sharma, Sanjay Kumar Singh, Umesh Singh & Varun Agiwal. (2015) The inverse Lindley distribution: a stress-strength reliability model with application to head and neck cancer data. Journal of Industrial and Production Engineering 32:3, pages 162-173.
Read now

Articles from other publishers (9)

Majd Alslman & Amal Helu. (2022) Estimation of the stress-strength reliability for the inverse Weibull distribution under adaptive type-II progressive hybrid censoring. PLOS ONE 17:11, pages e0277514.
Crossref
Jing Teng, Honglei Zhang, Wuyi Liu, Xiao-Ou Shu & Fei Ye. (2022) A Dynamic Bayesian Model for Breast Cancer Survival Prediction. IEEE Journal of Biomedical and Health Informatics 26:11, pages 5716-5727.
Crossref
Marwa Kh. Hassan, Manal I. Alohali & Fatimah A. Alojail. (2021) A new application of R = P [ Y < X ] for the inverse Lindley distribution using ranked set sampling . Journal of Statistics and Management Systems 24:8, pages 1713-1731.
Crossref
Indrajeet Kumar, Shishir Kumar Jha & Kapil Kumar. (2021) On Some Estimation Methods for the Inverse Pareto Distribution. Annals of Data Science.
Crossref
Abhimanyu Singh YadavS. K. SinghUmesh Singh. (2020) Statistical properties and different methods of estimation for extended weighted inverted Rayleigh distribution. Statistics in Transition New Series 21:2, pages 119-141.
Crossref
Vikas Kumar Sharma. 2020. Handbook of Probabilistic Models. Handbook of Probabilistic Models 265 287 .
Abhimanyu Singh Yadav, S. K. Singh & Umesh Singh. (2019) Bayesian estimation of stress–strength reliability for Lomax distribution under type-II hybrid censored data using asymmetric loss function. Life Cycle Reliability and Safety Engineering 8:3, pages 257-267.
Crossref
Sanku Dey, Mazen Nassar & Devendra Kumar. (2019) Alpha power transformed inverse Lindley distribution: A distribution with an upside-down bathtub-shaped hazard function. Journal of Computational and Applied Mathematics 348, pages 130-145.
Crossref
Anis Iranmanesh, Kianoosh Fathi Vajargah & Maryam Hasanzadeh. (2018) On the estimation of stress strength reliability parameter of inverted gamma distribution. Mathematical Sciences 12:1, pages 71-77.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.