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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 蕭金福 | |
dc.contributor.author | Po-Han Huang | en |
dc.contributor.author | 黃柏翰 | zh_TW |
dc.date.accessioned | 2021-06-15T02:33:30Z | - |
dc.date.available | 2009-08-20 | |
dc.date.copyright | 2009-08-20 | |
dc.date.issued | 2009 | |
dc.date.submitted | 2009-08-14 | |
dc.identifier.citation | 第六章 參考文獻
台灣中醫藥現況及藥用植物貿易的研究與報告(宋國彰,2002)。 Bowker, A. H. (1946). Computation of Factors for Tolerance Limits on a Normal Distribution When the Sample is Large. Annals of Mathematical Statistics 17, 238-240. Faulkenberry, G. D. and Daly, J. C. (1970). Sample Size for Tolerance Limits on a Normal Distribution. Technometrics 12, 813-821. Faulkenberry, G. D. and Weeks, D. L. (1968). Sample Size Determination for Tolerance Limits. Technometrics 10, 343-348. Fleiss, J. L. (1971). On the Distribution of a Linear Combination of Independent Chi Squares. Journal of the American Statistical Association 66, 142-144. Graybill, F. A. (1976). Theory and Application of the Linear Model. Duxbury, North Scituate, MA. Graybill, F. A., Wang, C. M. (1980). Confidence intervals on nonnegative linear combinations of variances. Journal of American Statistical Association 75:869-873. Harter, H. L. (1964). New Tables of the Incomplete Gamma-Function Ratio and of Percentage Points of the Chi-square and Beta Distribution. U. S. Government Printing Office, Washington, D. C. Hoffman, D. and Kringle, R. (2005). Two-sided tolerance intervals for balanced and unbalanced random effects models. Journal of Biopharmaceutical Statistics,15:2,283-293. Liao, C. T. and Iyer, H. K. (2004). A tolerance interval for the normal distribution with several variance components. Stat. Sinica. 14:217-229. Satterthwaite, F. E.(1946). An Approximate Distribution of Estimates of Variance Components. Biometrics 2, 110-114. Scheffe’, H. and Tukey. J.W. (1944). A Formula for Sample Sizes for Population Tolerance Limits. Annals of Mathematical Statistics 15, 217. Tse, S. K., Chang, J. Y., Su, W. L., Chow, S. C., Hsiung, C. and Lu, Qingshu(2006). Statistical Quality Control Process for Traditional Chinese Medicine. Journal of Biopharmaceutical Statistics 16, 861-874. Wald, A. and Wolfowitze, J. (1946). Tolerance Limits for a Normal Distribution. Annals of Mathematical Statistics 19, 208-215. Wilks, S. S.(1941). Determination of Sample Sizes for Setting Tolerance Limits. Annals of Mathematical Statistics 12, 91-96. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/43940 | - |
dc.description.abstract | 中文摘要
傳統中草藥目前在世界上許多地方被使用,傳統中草藥生藥材內的活性成分會隨著不同批次間或不同地區間而有所不同,因此,如何控管傳統中草藥的品質已經成為一個重要的課題。 本論文中,我們提出對傳統中草藥做統計品質控管的分法,基本概念是建構出在槽式設計下傳統中草藥材的β-γ容忍區間。若此β-γ容忍區間落在我們事先規定的品質控管範圍之內,則我們可以說這批生藥材通過了我們的品質控管測驗。本論文也有提到估計樣本數的統計方法與一個模擬的例子。 | zh_TW |
dc.description.abstract | Abstract
Traditional Chinese Medicine (TCM) is now widely used in the world. The active ingredients in raw materials of TCM are different from batch-to-batch or area-to-area. Thus, how to control the quality of TCM has become an important issue. In this thesis, we propose a statistical quality control (QC) method for TCM materials. The idea is to construct a β-γtolerance interval for TCM materials under a nested design. If the constructedβ-γtolerance interval lying in a prespecified QC limit, then we can claim that the raw materials have passed the QC test. Statistical methods for estimating the sample size and a simulation example are also studied in this thesis. | en |
dc.description.provenance | Made available in DSpace on 2021-06-15T02:33:30Z (GMT). No. of bitstreams: 1 ntu-98-R96621206-1.pdf: 834472 bytes, checksum: cc8fc3e5e63a842bcd5154721323be77 (MD5) Previous issue date: 2009 | en |
dc.description.tableofcontents | 目 錄
口試委員會審定書………………………………………………………………..… i 誌謝……………………………………………………………………………..……. ii 英文摘要…………………………………………………………………………..… iii 中文摘要………………………………………………………………………….…. iv 第一章 緒論……………………………………………………………….. 1 1.1傳統中草藥品質管理的概念………………………………………………. 2 1.2研究動機……………………………...…………………………………… 2 1.3研究目的…………………………………………………………………... 3 第二章 文獻回顧……………………………………………………….. 4 2.1平衡隨機效應模型之雙尾β-γ容忍區間……………...………………… 4 2.2決定容忍區間樣本數n…………………………………………………….. 5 第三章 研究方法………………………………………………………………….. 9 3.1研究定義及假設……………………………………………………………. 9 3.2雙尾β-γ容忍區間………………………………………...……………… 9 3.3樣本數的決定………………………………………………………………. 11 第四章 例子………………………………………………………………….. 13 4.1雙尾β-γ容忍區間計算…………………….………………………...…… 14 4.2決定樣本數…………………….………….………………………………… 14 第五章 結論與未來研究………………………………………………………....….. 43 參考文獻…………………………………………………………………….….… 44 | |
dc.language.iso | zh-TW | |
dc.title | 傳統中草藥之品質管理統計方法 | zh_TW |
dc.title | Statistical Quality Control Method for
Traditional Chinese Medicine | en |
dc.type | Thesis | |
dc.date.schoolyear | 97-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 廖振鐸,劉仁沛 | |
dc.subject.keyword | 品質控管,β-γ容忍區間,槽式設計, | zh_TW |
dc.subject.keyword | quality control,β-γtolerance interval,nested design., | en |
dc.relation.page | 45 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2009-08-14 | |
dc.contributor.author-college | 生物資源暨農學院 | zh_TW |
dc.contributor.author-dept | 農藝學研究所 | zh_TW |
顯示於系所單位: | 農藝學系 |
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