Optimal Design for Model Discrimination: Choosing the Best Spacing and Density of Design Points

Autor:	W. G. Bardsley, E. M. Melikhova
Rok vydání:	1993
Předmět:	Optimal design Mathematical optimization Variables Steady state (electronics) F-test Estimation theory media_common.quotation_subject Statistics Rational function Mathematics media_common Exponential function
Zdroj:	Modern Trends in Biothermokinetics ISBN: 9781461362883
DOI:	10.1007/978-1-4615-2962-0_72
Popis:	Optimal design for parameter estimation is a well developed subject but less attention has been paid to the problem of choosing the best number and optimum spacing of experimental settings for the independent variable x. Often it is known that the correct model is one from a family of models and it is important to decide on the minimum model to explain the data. An example would be using the F test to decide on the number of exponentials in a compartmental model or to decide upon the order of a rational function with steady state enzyme kinetic data and the theory necessary to solve this problem is available1–4.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a888e9d26d49455ec9dc1b9f301df58a https://doi.org/10.1007/978-1-4615-2962-0_72 Zobrazit plný text záznamu