教師資料查詢 | 類別: 期刊論文 | 教師: 曾琇瑱 Tseng Shio-jenn (瀏覽個人網頁)

標題:A comparison of the parameter estimating procedures for the michaelis-menten model
學年79
學期1
出版(發表)日期1990/08/23
作品名稱A comparison of the parameter estimating procedures for the michaelis-menten model
作品名稱(其他語言)
著者Tseng, Shio-jenn; Hus, Jyh-ping
單位淡江大學數學學系
出版者London: Academic Press
著錄名稱、卷期、頁數Journal of Theoretical Biology 145(4), pp.457-464
摘要The performance of four parameter estimating procedures for the estimation of the adjustable parameters in the Michaelis-Menten model, the maximum initial rate Vmax, and the Michaelis-Menten constant Km, including Lineweaver & Burk transformation (L-B), Eadie & Hofstee transformation (E-H), Eisenthal & Cornish-Bowden transformation (ECB), and Hsu & Tseng random search (H-T) is compared. The analysis of the simulated data reveals the followings: (i) Vmax can be estimated more precisely than Km. (ii) the sum of square errors, from the smallest to the largest, follows the sequence H-T, E-H, ECB, L-B. (iii) Considering the sum of square errors, relative error, and computing time, the overall performance follows the sequence H-T, L-B, E-H, ECB, from the best to the worst. (iv) The performance of E-H and ECB are on the same level. (v) L-B and E-H are appropriate for pricesly measured data. H-T should be adopted for data whose error level are high. (vi) Increasing the number of data points has a positive effect on the performance of H-T, and a negative effect on the performance of L-B, E-H, and ECB.
關鍵字
語言英文
ISSN0022-5193;1095-8541
期刊性質國外
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產學合作
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審稿制度
國別英國
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