Test environment running 7.6.6

Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

REMARKS ON OPTIMAL INFERENCE FOR MARKOV BRANCHING PROCESSES

Thumbnail Image

Date

1983

Authors

Journal Title

Journal ISSN

Volume Title

Publisher

Abstract

Use of a suitable stopping rule yields exact uniformly most powerful tests and minimum variance unbiased estimators of various parameters of a Markov branching model with or without immigration. The population model discussed includes the pure birth, simple epidemic, immigration‐death, M/M/ 1 queue, linear birth‐death and a branching diffusion process, among others, as special cases.

Description

Keywords

Branching‐diffusion, Galton‐Watson process, Markov‐branching process, Minimum variance unbiased estimation, Nuisance parameters, Stopping rules, Threshold theorem, Uniformly most powerful tests

Citation

URI

https://dspace-test.anu.edu.au/handle/1885/733745101

Collections

DevOps Pure Testing

Source

Australian and New Zealand Journal of Statistics

Type

Article

Book Title

Entity type

Access Statement

License Rights

DOI

10.1111/j.1467-842X.1983.tb01194.x

Restricted until

DSpace software copyright © 2002-2026 LYRASIS