DocumentCode
2568473
Title
The bioequivalence identification based on the situ data
Author
Wang, Tie ; Lin, Jianyang ; Chen, Zhiguang
Author_Institution
Sch. of Vehicle & Traffic, Shenyang Ligong Univ., Shenyang
fYear
2008
fDate
2-4 July 2008
Firstpage
4317
Lastpage
4321
Abstract
To the traditional bioequivalent identification, the stringent requirements, limitations on the scope of inspection and the enormous waste of inspection resources are analyzed. The bioequivalent model of normal distribution is established perfectly by using statistical theory; the normal model of tested system about medium-sized samples is established by using information entropy method of no-statistics theory, the normal model of tested system about small-sized samples is established by using Bayesian method of no-statistics theory. In order to achieve the unified identification algorithm, the equivalent normal transforms of information distribution is quoted; all models are established and are calculated through VB Programming; Through analysis of the examples about traditional and normal method, we know that two bioequivalent identification methods is identity, but normal method is more simple, intuitive and easy to grasp than traditional method. The normal bioequivalent method can suit to broad and complex bioequivalence test, save various testing resources, reduce testing costs.
Keywords
Bayes methods; normal distribution; sampling methods; statistical testing; Bayesian method; VB programming; bioequivalence identification; bioequivalence tests; information entropy method; medium-sized samples; no-statistics theory; normal distribution; situ data; statistical theory; Algorithm design and analysis; Bayesian methods; Costs; Gaussian distribution; Information analysis; Information entropy; Inspection; System testing; Bayes; Equivalent; Information entropy; Mathematics model; Situ data;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference, 2008. CCDC 2008. Chinese
Conference_Location
Yantai, Shandong
Print_ISBN
978-1-4244-1733-9
Electronic_ISBN
978-1-4244-1734-6
Type
conf
DOI
10.1109/CCDC.2008.4598145
Filename
4598145
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