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Fundamentals Of Multivariate Analysis I Regressive Analy

 
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 MessagePosté le: Ven 7 Juil - 12:14 (2017)    Sujet du message: Fundamentals Of Multivariate Analysis I Regressive Analy Répondre en citant



 ビッグデータという言葉に象徴されるように,データからの知識抽出技術が注目を集めています.本書はこの技術の基礎の基礎である多変量解析技術の中から回帰分析を解説しています.理論だけでなく,Rを使って実際にデータ処理を体験できるようにしています.また,単なるRのノウハウ書としないために,理論展開に沿ってデータ解析を段階を踏んで体験できるように工夫しています.

 Rによる多変量解析の解説書は,あまた出版されています.回帰分析はlm()関数を使えば簡単に実行できます.多くの本がこのlm()関数の使い方を解説しています.本書の特徴は,lm()関数の背景にある基礎理論を解説し,その展開に沿ってRによる演習を段階的に組んでいる点にあります.

 目次は以下の通りです.

 1. はじめに

 2.単純回帰分析
  2.1 基礎理論
  2.2 Rによる計算
  2.3 行列による表現
  2.4 Rによる行列計算
  2.5 Rの組み込み関数(lm())による計算
  2.6 相関係数
  2.7 決定係数
  2.8 Rによる相関係数,決定係数の計算

 3.多重回帰分析
  3.1 基礎理論(2変数の場合)
  3.2 Rによる計算
  3.3 行列による表現(m変数の場合)
  3.4 Rによる行列計算
  3.5 Rの組込関数(lm())による計算
  3.6 偏回帰係数
  3.7 Rによる偏回帰係数の計算
  3.8 重決定係数
  3.9 Rによる重決定係数の計算
  3.10 多重共線性
  3.11 偏相関係数
  3.12 偏相関係数の行列計算(2変数の場合)
  3.13 偏相関係数の行列計算(m変数の場合)
  3.14 Rによる偏相関係数の行列計算
  3.15 Rの組込関数(pcor())による計算

 4.おわりに


 本書で紹介しているRのスクリプトは以下からダウンロードできます.
 http://www.mybook-pub-site.sakura.ne.jp/multi_variate_analysis/index.html

 本書ではR 3.0.2 for Windowsを用います.このソフトウェアはhttp://cran.r-project.org/より無料でダウンロード・インストールすることができます.Windows版を前提にスクリプトの解説をしていますが,MacでR を使う場合でも,データファイル(csv ファイル)の読み込み時のフォルダ指定以外は,スクリプトを変更することなく実行できます.

(改訂版について,2017.3.15)
 偏相関係数に関する記述を大幅に加筆しました.

 ダウンロードしたフォルダ名などの文字化けの指摘を読者から受けました.日本語コードの問題と思われましたので,全て英文表記としたファイルを入れ たフォルダもダウンロードできるように追加しました.本文に英文ファイルと の対応が分かるように加筆しました.

著者紹介
1985年名古屋大学大学院工学研究科電気系専攻博士後期課程修了
現在 名古屋大学大学院工学研究科教授・工学博士
専門 電気工学,ソフトコンピューティング,感性工学


Details:
rank:
price: $3.02
bound: 122 pages
publisher:
lang: Japanese
asin: B06XNWL6YD
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weight:
filesize: 4009 KB



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