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研究生:吳宗霖
研究生(外文):Wu, Zong-Ling
論文名稱:驗證實驗室管制圖的有效性
論文名稱(外文):Validating Laboratory Control Chart
指導教授:陳鄰安陳鄰安引用關係
指導教授(外文):Chen, Lin-An
學位類別:碩士
校院名稱:國立交通大學
系所名稱:統計學研究所
學門:數學及統計學門
學類:統計學類
論文種類:學術論文
畢業學年度:97
語文別:英文
論文頁數:18
中文關鍵詞:假設檢定實驗室管制圖階段一圖表
外文關鍵詞:Hypothesis testinglaboratory control chartphase I charting
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管制圖是統計製程管制中很有效的工具之一,它不只廣泛應用在工業品管上,在實驗室用管制圖的應用也已經越來越多了。在工業上利用管制圖來監控製程包含兩個階段:階段一及階段二,各有其重要的目標。但是在實驗室裡,往往所提供的成本與分析的時間有限,要做類似於工業品管上繁雜的階段一很難執行,基於這種情況下,我們提出了三種統計檢定的方法來執行階段一所要達到的目標,就是檢定所計算出來的管制圖是否能代表實驗室的製程用於未來監控中。最後
,用檢定力去比較這三種方法。
Typically control charts should involve phases I and II chartings of different purposes. In consideration of financial cost and analyst’s time, the laboratory control charting generally do not follow the process recommended for manufacturing process control. For phase I charting, we propose several tests using for testing if a computed control chart is appropriate for the distribution representing the laboratory process. Power comparisons for the proposed tests are performed and the results are displayed and discussed.
中文摘要 --------------------------------------------------i
Abstract -------------------------------------------------ii
誌謝 --------------------------------------------------- iii
Contents ----------------------------------------------iv

1. Introduction-------------------------------------------1

2. Validation of Laboratory Control Chart ----------------3

3. Confidence Interval Based Tests for Laboratory Control
Chart Validation --------------------------------------4

4. Highest Density Tests for Laboratory Control Chart
Validation --------------------------------------------7

5. Power Performance Comparisons for Laboratory Control
Chart Validation --------------------------------------8

6. Power Simulation Study for Laboratory Control Chart
Validation -------------------------------------------11

7. Real Data Analyses ---------------------------------- 13

References ----------------------------------------------15

Figures  ----------------------------------------------17
Analytical Methods Committee(1995). Internal quality
control of analytical data. Analyst, 120, 29-34
Blacksell, S, D., Cameron, A. R. and Chamnanpood, P. etal. (1996). Implementation of internal laboratory quality control procedures for the monitoring of ELISA performance at regional veterinary laboratory. Veterinary Microbiology, 51, 1-9.
Garland, S. W., Lees, B. and Stevenson, J. C. (1997). Dxa longitudinal quality control: a comparison of inbuilt quality assurance, visual inspection, multirule Shewhart charts and cusum analysis. Osteoporosis International,
7, 231-237.
Huang, J.-Y., Chen, L.-A. and Welsh, A. H.(2008). Reference Limits from the Mode Interval. Submitted to JSPI for publication (In revision).
Levey, S. and Jennings, E. R. (1950). The use of control charts in the clinical laboratory. American Journal of Clinical Pathology. 20, 1059-1066.
Mullins, E. (1994). Introduction to control charts in the analytical laboratory: tutorial review. Analyst, 119,369-375.
Mullins, E. (1994). Getting more from your laboratory control charts. Analyst, 124, 433-442.
Westgard, J. O. and Barry, P. L. (1986). Cost-Effective Quality Control: Managing the Quality and Productivity of the Analytical Process.AACC Press: Washington DC.
Westgard, J. O., Barry, P., L., Hunt, M. R. and Groth, T. (1981). A multirule Shewhart chart for quality control in clinical chemistry. Clinical Chemistry, 27, 493-501.
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