eprintid: 6589
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/65/89
datestamp: 2023-11-09 16:18:23
lastmod: 2023-11-09 16:18:23
status_changed: 2023-11-09 16:07:08
type: conference_item
metadata_visibility: show
creators_name: Mahmoud, A.A.
creators_name: Dass, S.C.
creators_name: Muthuvalu, M.S.
title: A maximum likelihood estimation framework for delay logistic differential equation model
ispublished: pub
note: cited By 2; Conference of 4th International Conference on Fundamental and Applied Sciences, ICFAS 2016 ; Conference Date: 15 August 2016 Through 17 August 2016; Conference Code:125141
abstract: This paper will introduce the maximum likelihood method of estimation for delay differential equation model governed by unknown delay and other parameters of interest followed by a numerical solver approach. As an example we consider the delayed logistic differential equation. A grid based estimation framework is proposed. Our methodology estimates correctly the delay parameter as well as the initial starting value of the dynamical system based on simulation data. The computations have been carried out with help of mathematical software: MATLAB® 8.0 R2012b. © 2016 Author(s).
date: 2016
publisher: American Institute of Physics Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85006056434&doi=10.1063%2f1.4968140&partnerID=40&md5=bb914734d00b55a5a7e35dd9083e6baa
id_number: 10.1063/1.4968140
full_text_status: none
publication: AIP Conference Proceedings
volume: 1787
refereed: TRUE
isbn: 9780735414518
issn: 0094243X
citation:   Mahmoud, A.A. and Dass, S.C. and Muthuvalu, M.S.  (2016) A maximum likelihood estimation framework for delay logistic differential equation model.  In: UNSPECIFIED.