Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/88740
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dc.contributor.advisor宋傳欽zh_TW
dc.contributor.advisorSong, Chwan Chinen_US
dc.contributor.author林唯忠zh_TW
dc.contributor.authorLin Wei Jongen_US
dc.creator林唯忠zh_TW
dc.creatorJong, Lin Weien_US
dc.date1993en_US
dc.date.accessioned2016-04-29T08:32:29Z-
dc.date.available2016-04-29T08:32:29Z-
dc.date.issued2016-04-29T08:32:29Z-
dc.identifierB2002004237en_US
dc.identifier.urihttp://nccur.lib.nccu.edu.tw/handle/140.119/88740-
dc.description碩士zh_TW
dc.description國立政治大學zh_TW
dc.description應用數學系zh_TW
dc.description80155002zh_TW
dc.description.abstract線性迴歸模型中共線性的問題是導致模型不適當的重大原因之一。共線性zh_TW
dc.description.tableofcontents第一章 緒論﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒1\r\n第一節:前言﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒1\r\n第二節:本文架構﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒2\r\n\r\n第二章 線性回歸中的共線問題﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒3\r\n 第一節:共線性的簡介﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒3\r\n 第二節:共線性的來源﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒4\r\n 第三節:共線性的影響﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒5\r\n 第四節:共線性診斷方法的簡介﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒7\r\n\r\n第三章 變異膨脹矩陣的推導與分析﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒10\r\n 第一節:變異膨脹因子﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒10\r\n 第二節:廣義判定係數的推導﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒12\r\n 第三節:變異膨脹矩陣的推導﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒14\r\n 第四節:應用變異膨脹矩陣導出判斷共線性的準則﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒16\r\n 第五節:特徵值λi,di的相互關係及特殊意義﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒21\r\n 第六節:討論﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒23\r\n\r\n第四章 實例分析﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒27\r\n 第一節:資料描述﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒27\r\n 第二節:資料分析﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒29\r\n 第三節:結論﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒33\r\n\r\n參考文獻﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒34zh_TW
dc.source.urihttp://thesis.lib.nccu.edu.tw/record/#B2002004237en_US
dc.subject共線性zh_TW
dc.subject變異膨脹因子zh_TW
dc.subject變異膨脹矩陣zh_TW
dc.subject典型相關係數zh_TW
dc.subjectmulticollinearityen_US
dc.subjectvariance inflation factoren_US
dc.subjectvariance inflation matrixen_US
dc.subjectcanonical correlationen_US
dc.title變異膨脹因子的研究zh_TW
dc.titleVariance Inflation and Multicorrelation in Regressionen_US
dc.typethesisen_US
dc.relation.referenceBelsley,D. A. (1991), Conditioning Diagnostics, New York: John Wiley.\r\nBowerman, B. L. And R. T. O’Connell, (1990),Linear Statistical Models: it An Applied Approach (2nd ed), Boston :Duxbury Press.\r\nEaton. M. L. (1983), Multiuariate Statistics: A Vector Space Ap-proach,New York: John Wiley.\r\nFox, J. And G. Monette, (1992), “Generalized Collinearity Diagnostics,” Journal of the American Statistical Association, 87, 178-183.\r\nGraybill, F. A. (1976),Theory and Applications of the Linear Model, North Scituate, MA:Duxbury Press.\r\nGroebner, D.F. and P. W. Shannon, (1989), Bussiness Statistics Ade-cision – Making Approach (3rd ed), Merrill.\r\nHooper, J. W. (1959), “Simulaneous Equation and Canonical Correlation Theory,” Econometrica, 27, 245-256.\r\nMardia, K. V., J. M. Kent, and J. M. Bibby (1979), Multiuariate Anal-ysis, Academic Press, New York.\r\nMontgonery, D. C. And E. A. Peck, (1992),Introduction to Linear Re-gression Analysis (2nd ed), Academic: New York.\r\nNeter, J. ,W. Wasserman, and M. H. Kutner. (1990), Applied Linear Statistical Models(3rd ed), Homewood Ill: Richard D. Irwin.\r\nRao, C. R. (1973),Linear statistical Inference and Its Applications (2nd ed),New York:John Wiley.zh_TW
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