Responsive image
博碩士論文 etd-0712105-165324 詳細資訊
Title page for etd-0712105-165324
論文名稱
Title
手術時間分佈之混合模型估計
Mixture models for estimating operation time distributions.
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
47
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2005-06-03
繳交日期
Date of Submission
2005-07-12
關鍵字
Keywords
概似比檢定、混合對數常態分佈、婦產科、最大概似估計量、分群、EM 演算法
classification, EM algorithm, MLE, likelihood ratio test, mixture of log-normal distributions., gynecology
統計
Statistics
本論文已被瀏覽 5736 次,被下載 1025
The thesis/dissertation has been browsed 5736 times, has been downloaded 1025 times.
中文摘要
外科手術時間對於醫院管理而言是一有用且重要的資訊。而醫院管理涵蓋了在不同診斷下病患手術時間估計、手術房排程與利用率等等。
在本論文中,我們探討婦產科十三種開刀手術的手術時間的分佈情形。由結果看來手術時間似乎呈現log-normal 分佈以及 mixture log-normal分佈。接著我們將手術時間依照小、中、中大、大手術來分群,並且針對手術時間為mixture log-normal分佈的手術,利用概似比檢定找出影響其手術時間分佈的因素。最後,我們試著說明導致某一些資料量多的手術時間呈現 mixture log-normal 分佈趨勢的原因以及未來研究方向。
Abstract
Surgeon operation time is a useful and important information for hospital management, which involves operation time estimation for patients under different diagnoses, operation room scheduling, operating room utilization improvements and so on. In this work, we will focus on studying the operation time distributions of thirteen operations performed in the gynecology (GYN) department of one major teaching hospital in southern Taiwan. We firstly investigate what types of distributions are suitable in describing these operation times empirically, where log-normal and mixture log-normal distribution are identified to be acceptable statistically in describing these operation times. Then we compare and characterize the operations into different categories based on the operation time distribution estimates. Later we try to illustrate the possible reason why distributions
for some operations with large data set turn out to be mixture of certain log-normal distributions. Finally we end with discussions on possible future work.
目次 Table of Contents
Contents
List of Tables . . . . . . . . . . . . . . . . .. . . . 1
List of Figures . . . . . . . . . . . . . . . . . . . . 3
1. Introduction . . . . . . . . . . . . . . . . . . . . 4
2. Mixture distributions and method of estimation of parameters . . . 9
2.1 Expectation-maximization (EM)algorithm . . . . . . . 9
2.2 The standard errors of MLE . . . . . . . . . . .. . 10
2.3 Kolmogorov-Smirnov test . . . . . . . . . . . . . . 11
2.4 Tamhane T2 test . . . . . . . . . . . . . . . . . . 12
3. Efect testing . . . . . . . . . . . . . . . . . . . 12
3.1 Likelihood ratio test . . . . . . . . . . . . . . . 13
4. Statistical analysis results . . . . . . . . . . . . 15
4.1 Classi‾cation of operations based on operation time . . . . . 15
4.2 Mixture log-normal distribution . . . . . . . . . . 16
4.3 Efect of doctor for three operations . . . . . . . 20
4.4 E
參考文獻 References
1. Conover W. J. (1999) Parctical nonparametric statistics. New York: Wiley.
2. Dempster, A. P., Laird, N. M., and Rubin, D. R. (1977). Maximum likeli-
hood from incomplete data (with Discussion). Journal of the Royal Statistical
Society, Series B 39, 1-38.
3. Dunnett C. W. (1980). Pairwise multiple comparisons in the unequal variance
case. Journal of the American Statistical Association 75, 796-.
4. Everitt, B. S. and Hand, D.J. (1981). Finite mixture distribution. London:
Chapman and Hill.
5. Hasselblad, V. (1966). Estimation of parameters for a mixture of normal
distributions. Technometrics 8, 431-446.
6. Huang, M.-N. L., Lin C. S. and Soong K. (2004). Factor e
電子全文 Fulltext
本電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。請遵守中華民國著作權法之相關規定,切勿任意重製、散佈、改作、轉貼、播送,以免觸法。
論文使用權限 Thesis access permission:校內外都一年後公開 withheld
開放時間 Available:
校內 Campus: 已公開 available
校外 Off-campus: 已公開 available


紙本論文 Printed copies
紙本論文的公開資訊在102學年度以後相對較為完整。如果需要查詢101學年度以前的紙本論文公開資訊,請聯繫圖資處紙本論文服務櫃台。如有不便之處敬請見諒。
開放時間 available 已公開 available

QR Code