Middle censoring in the multinomial distribution with applications

In a multinomial set-up with k possible outcomes, we develop estimation under a “middle censoring” paradigm, which is as defined in Jammalamadaka and Mangalam (2003). This problem has many special features because of the inter-dependent probabilities, which we explore here.

Detalles Bibliográficos
Autores principales: Jammalamadaka, S. Rao, Bapat, Sudeep R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7450966/
https://www.ncbi.nlm.nih.gov/pubmed/32873997
http://dx.doi.org/10.1016/j.spl.2020.108916
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author Jammalamadaka, S. Rao
Bapat, Sudeep R.
author_facet Jammalamadaka, S. Rao
Bapat, Sudeep R.
author_sort Jammalamadaka, S. Rao
collection PubMed
description In a multinomial set-up with k possible outcomes, we develop estimation under a “middle censoring” paradigm, which is as defined in Jammalamadaka and Mangalam (2003). This problem has many special features because of the inter-dependent probabilities, which we explore here.
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spelling pubmed-74509662020-08-28 Middle censoring in the multinomial distribution with applications Jammalamadaka, S. Rao Bapat, Sudeep R. Stat Probab Lett Article In a multinomial set-up with k possible outcomes, we develop estimation under a “middle censoring” paradigm, which is as defined in Jammalamadaka and Mangalam (2003). This problem has many special features because of the inter-dependent probabilities, which we explore here. Elsevier B.V. 2020-12 2020-08-27 /pmc/articles/PMC7450966/ /pubmed/32873997 http://dx.doi.org/10.1016/j.spl.2020.108916 Text en © 2020 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Jammalamadaka, S. Rao
Bapat, Sudeep R.
Middle censoring in the multinomial distribution with applications
title Middle censoring in the multinomial distribution with applications
title_full Middle censoring in the multinomial distribution with applications
title_fullStr Middle censoring in the multinomial distribution with applications
title_full_unstemmed Middle censoring in the multinomial distribution with applications
title_short Middle censoring in the multinomial distribution with applications
title_sort middle censoring in the multinomial distribution with applications
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7450966/
https://www.ncbi.nlm.nih.gov/pubmed/32873997
http://dx.doi.org/10.1016/j.spl.2020.108916
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