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First, we analyze whether the parameter vector can or cannot uniquely be determined with the knowledge of the input-output behavior of the model. Second, we analyze how the information in the experimental data is translated into the parameters of the model. Furthermore, we propose a process to improve the recursive values of the parameters when successive observation data are considered. The structure of the state matrix leads to an analysis of the inverse of a sum of rank-one matrices.<\/jats:p>","DOI":"10.2478\/amcs-2019-0024","type":"journal-article","created":{"date-parts":[[2019,7,9]],"date-time":"2019-07-09T17:30:42Z","timestamp":1562693442000},"page":"327-336","source":"Crossref","is-referenced-by-count":0,"title":["Parameter Identification and Estimation For Stage\u2013Structured Population Models"],"prefix":"10.61822","volume":"29","author":[{"given":"Carmen","family":"Coll","sequence":"first","affiliation":[{"name":"Institute of Multidisciplinary Mathematics , Polytechnic University of Valencia (UPV) , Camino de Vera, 14, 46022 Valencia , Spain"}]},{"given":"Elena","family":"S\u00e1nchez","sequence":"additional","affiliation":[{"name":"Institute of Multidisciplinary Mathematics , Polytechnic University of Valencia (UPV) , Camino de Vera, 14, 46022 Valencia , Spain"}]}],"member":"37438","published-online":{"date-parts":[[2019,7,4]]},"reference":[{"key":"2023050302352856912_j_amcs-2019-0024_ref_001_w2aab3b7b8b1b6b1ab1ab1Aa","doi-asserted-by":"crossref","unstructured":"Baliarsingh, P. and Dutta, S. 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