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書名:線性代數導論(8版) 作者:Kolman(呂金河) 出版社:華泰 出版日期:2005/08/00 ISBN:9789576095962 內容簡介 本書介紹線性代數的主要課題及其重要的應用,內容包含線性方程組與矩陣、行列式、n維向量、向量空間、特徵值與特徵向量、線性轉換的特性與應用等,文中集結了所有基本線性代數的精華主題,同時為使數學推導的抽象程度降到最低,有時會省略較困難的證明,避免使用微積分,而用例題來說明相關性質,強調各個線性代數主題的計算及幾何觀念。書中每章最後均包含一個摘要性的重點整理做為重要觀念的複習,並輔以一組補充習題及章節測驗做為了解整章程度的自我考驗,書末還附單數題習題解答及章節測驗的所有答案。綜合上述,本譯著適合需要學習線性代數或相關理工科系的同學閱讀,並推薦給在大一、大二教授線性代數的教師使用。 目錄 第1章 線性方程式和矩陣 第2章 行列式 第3章 Rn上的向量 第4章 R2及R3上向量的應用 第5章 實數向量空間 第6章 特徵值、特徵向量及對角線化 第7章 線性轉換和矩陣
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應用線性迴歸模型(Kutner:Applied Linear Regression Models 4/e)(附光碟) 作者: KUTNER 譯者: 陳至安 出版社:華泰文化 出版日期:2005/08/09 語言:繁體中文 定價:780元 內容簡介 今日之線性迴歸模型已經廣泛地應用在企業管理、經濟、工程、社會健康以及生物科學等領域上。要成功地應用這些模型,有賴於掌握其中之理論,並對生活中所遭遇的實際問題有相當程度之了解,而本書--《應用線性迴歸模型》(第四版)實質上就是一本調和理論與應用的書籍,避免落於單獨的理論陳述或是缺乏理論基礎的實例應用這兩種極端。 由於理論上的知識需求往往因認知不同而異,而作者想強調的是對於迴歸模型的充分了解,特別是模型中參數的意義,才能提供模型產生更為適當應用之基礎。書中大量廣泛而多樣性的例題有助於迴歸模型理論方法的學習,並且可以幫助讀者在不同的問題中應用。 本書內容除傳統迴歸分析主題外,另外還加入實務上經常忽略的重要問題之討論,並強調有關於殘差分析與其他模型診斷技巧之使用方法,以及當模型配適不佳時的矯正策略。此外,因為在實務問題上很少只做單一推論,所以也特別強調推論之程序。 此書內容亦同於Kutner/Neter:Applied Linear Statistical Models第五版一書之前14章中譯。 目錄 第Ⅰ篇 簡單線性迴歸 第1章 單一預測變數線性迴歸 第2章 迴歸分析的推論 第3章 診斷與矯正之測量 第4章 迴歸的同步推論與其他主題 第5章 簡單線性迴歸之矩陣方法 第Ⅱ篇 複線性迴歸 第6章 複迴歸之ㄧ 第7章 複迴歸之二 第8章 計量與質性預測變數之迴歸模型 第9章 建立迴歸模型之一:模型的選擇與驗證 第10章 建立迴歸模型之二:診斷 第11章 建立迴歸模型之三:矯正測量 第12章 時間數列資料的自我相關 第Ⅲ篇 非線性迴歸 第13章 非線性迴歸 第14章 Logistic 迴歸 附錄A 機率與統計的一些基礎結果 附錄B 統計查表 附錄C 資料集 附錄D 參考書目
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