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
論文名稱 Title |
加權多項式迴歸模型下具最少點的D最適設計之反正弦極限定理 An Arcsin Limit Theorem of Minimally-Supported D-Optimal Designs for Weighted Polynomial Regression |
||
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 |
19 |
|
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 |
2008-05-30 |
繳交日期 Date of Submission |
2008-06-23 |
關鍵字 Keywords |
反正弦分布、D最適反正弦點設計、漸近設計、第二型柴比雪夫多項式、D效率、D等價定理、Legendre多項式、最少點D最適設計、夾擠定理 asymptotic design, arcsin distribution, D-Equivalence Theorem, Chebyshev polynomial of second kind, D-optimal arcsin support design, minimally-supported D-optimal design, Squeeze Theorem, D-efficiency, Legendre polynomial |
||
統計 Statistics |
本論文已被瀏覽 5762 次,被下載 1703 次 The thesis/dissertation has been browsed 5762 times, has been downloaded 1703 times. |
中文摘要 |
本論文主要是探討在封閉區間中具有有界及恆正的權重函數的d次單變數多項式迴歸模型的最少點D最適設計。當d趨近於無窮大時,我們證明最少點D最適設計會弱收歛至反正弦分布。另外,我們利用D效率值將此最適設計和兩種跟反正弦分布有關的設計來做比較。最後我們也證明當設計區間為[-1,1],權重函數1/√(α-x^2), α>1時,最少點D最適設計會收斂到D最適反正弦點設計。 |
Abstract |
Consider the minimally-supported D-optimal designs for dth degree polynomial regression with bounded and positive weight function on a compact interval. We show that the optimal design converges weakly to the arcsin distribution as d goes to infinity. Comparisons of the optimal design with the arcsin distribution and D-optimal arcsin support design by D-efficiencies are also given. We also show that if the design interval is [−1, 1], then the minimally-supported D-optimal design converges to the D-optimal arcsin support design with the specific weight function 1/√(α-x^2), α>1, as α→1+. |
目次 Table of Contents |
Abstract ii 1 Introduction 1 2 Arcsin limit theorem of d 2 3 Examples 5 4 Conclusions 11 References 12 |
參考文獻 References |
1. Antille, G., Dette, H. and Weinberg, A. (2003). A note on optimal designs in weighted polynomial regression for the classical efficiency functions. J. Statist. Plann. Inference 113, 285-292. 2. Chang, F.-C. (1998). On asymptotic distribution of optimal design for polynomial-type regression. Statist. and Probab. Letters 36, 421-425. 3. Chang, F.-C. (2005). D-optimal designs for weighted polynomial regression - a functionalalgebraic approach. Statist. Sinica 15, 153-163. 4. Chang, F.-C. and Jiang, B.-J. (2007). An algebraic construction of minimally-supported D-optimal designs for weighted polynomial regression. Statist. Sinica 17, 1005-1021. 5. Chang, F.-C. and Lin, G.-C. (1997). D-optimal designs for weighted polynomial regression. J. Statist. Plann. Inference 62, 317-331. 6. Chang, F.-C. and Wang, S.-S. (2007). D-optimal designs for polynomial regression with weight function exp(αx). Technical Report, National Sun Yat-sen University. 7. Dette, H., Haines, L.M. and Imhof, L. (1999). Optimal designs for rational models and weighted polynomial regression. Ann. Statist. 27, 1272-1293. 8. Fedorov, V.V. (1972). Theory of Optimal Experiments (Translated by W.J. Studden and E.M. Klimko). Academic press, New York. 9. Hoel, P.G. (1958). Efficiency problems in polynomial estimation. Ann. Math. Statist. 29, 1134-1145. 10. Huang, M.-N.L., Chang, F.-C. and Wong, W.-K. (1995). D-optimal designs for polynomial regression without an intercept. Statist. Sinica 5, 441-458. 11. Imhof, L., Krafft, O. and Schaefer, M. (1998). D-optimal designs for polynomial regression with weight function x/(1 + x). Statist. Sinica 8, 1271-1274. 12. Karlin, S. and Studden, W.J. (1966). Optimal experimental designs. Ann. Math. Statist. 37, 783-815. 13. Kiefer, J.C. and Studden, W.J. (1976). Optimal designs for large degree polynomial regression. Ann. Statist. 4, 1113-1123. 14. Kiefer, J.C. andWolfowitz, J. (1960). The equivalence of two extremum problems. Canad. J. Math. 12, 363-366. 15. Pukelsheim, F. (1993). Optimal Design of Experiments. Wiley, New York. 16. Schoenberg, I.J. (1959). On the maxima of certain Hankel determinants and the zeros of the classical orthogonal polynomials. Indagationes Mathematicae 21, 282-290. 17. Silvey, S.D. (1980). Optimal Design. Chapman & Hall, London. 18. Szeg‥o, G. (1975). Orthogonal Polynomials, 4th edition. American Mathematical Society Colloquium Publications, Vol. 23. AMS, Providence, RI. 19. Wikipedia contributions. Chebyshev polynomials. The Free Encyclopedia; 2008 May 22. Available from: http://en.wikipedia.org/wiki/Chebyshev polynomials 20. Wolfram, S. (2003). The Mathematica Book, 5th edition. Wolfram Media, Champaign, IL. |
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 |