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#author("2025-01-20T12:09:28+01:00","","") #author("2025-01-29T17:01:50+01:00","","") [[メモ(中島)]] *** &color(,#000000){'' '''&color(#FFFFFF){WEB SITES};''' ''}; [#hce6b59f] ~ [使用データ]~ ~ ◆不動産情報ライブラリ~ ◆不動産取引価格~ https://www.reinfolib.mlit.go.jp/realEstatePrices/~ ~ ◆鑑定基準~ https://www.mlit.go.jp/common/001204083.pdf ◆一物四価~ https://www.livable.co.jp/l-note/question/4821/?msockid=001ceef8e6976c303abffd51e76d6d80 [データクリー二ング]~ ~ ◆https://utilizing-ai.jp/data-analysis/792~ ~ ◆https://note.nkmk.me/python-list-ndarray-dataframe-normalize-standardize/#numpyndarray~ ~ ◆https://qiita.com/kino44/items/b7d76f7a033e28e09564~ ~ ◆https://jp.mathworks.com/discovery/data-preprocessing.html~ ~ ◆https://analytics.uhuru.co.jp/columns/data-preprocessing/~ ~ ◆https://www.tdse.jp/blog/tech/4100/~ ~ ◆https://ai.reinforz.co.jp/89~ ~ ◆https://tomoecon.github.io/R_for_graduate_thesis/DataHandling.html~ ~ [ダミー変数]~ ~ ◆https://best-biostatistics.com/correlation_regression/dummy.html~ ~ [変数選定]~ ~ ◆相関係数 ~ https://datachemeng.com/variable_selection_and_clustering_based_on_r/~ ◆ ~ https://analysis-navi.com/?p=2751~ ◆変数選択 ~ ◆https://www.salesanalytics.co.jp/datascience/datascience145/~ ~ ◆https://datachemeng.com/wp-content/uploads/2017/05/170516chemoinformatics_wakate_kaneko.pdf~ ~ ◆https://aotamasaki.hatenablog.com/entry/2018/04/18/201127#%E5%A4%89%E6%95%B0%E9%81%B8%E6%8A%9EFeature-Selection%E3%81%AE%E9%87%8D%E8%A6%81%E6%80%A7~ ~ ◆https://book.st-hakky.com/data-analysis/cho-kai-kubun-senbai-kata/~ ~ ◆https://orsj.org/wp-content/corsj/or63-3/or63_3_128.pdf~ ~ ◆https://waidai-csc.jp/updata/2019/05/53729419335f743b3924577b76bd198b.pdf~ ~ ◆https://www.info.kindai.ac.jp/~tsunoda/article/313.pdf~ ~ ◆ ◆ ◆ [多重共線性]~ ~ ◆https://parallelcareerlab.com/?p=1212~ ~ ◆https://parallelcareerlab.com/?p=1042~ ~ ◆https://best-biostatistics.com/toukei-er/entry/how-to-calculate-vif-by-r/~ ~ ◆https://statisticsschool.com/%e3%80%90%e8%ab%96%e6%96%87%e8%a7%a3%e8%aa%ac%e3%80%91%e5%a4%9a%e9%87%8d%e5%85%b1%e7%b7%9a%e6%80%a7%e3%81%af%e5%9b%9e%e5%b8%b0%e5%88%86%e6%9e%90%e3%81%ab%e3%81%a9%e3%81%ae%e3%82%88%e3%81%86%e3%81%aa/~ ~ ◆https://best-biostatistics.com/correlation_regression/multi-co.html~ ~ ◆https://life-analyze24.com/multicollinearity/~ ~ [スパース推定、ハイパーパラメータ]~ ~ ◆https://mikutaifuku.hatenablog.com/entry/2018/03/13/231041~ ~ ◆https://cochineal19.hatenablog.com/entry/2021/05/16/133121~ ~ ◆http://users.stat.umn.edu/~zouxx019/Papers/adalasso.pdf~ ~ ◆https://betashort-lab.com/%e3%83%87%e3%83%bc%e3%82%bf%e3%82%b5%e3%82%a4%e3%82%a8%e3%83%b3%e3%82%b9/%e7%b5%b1%e8%a8%88%e5%ad%a6/python%e3%81%a7elastic-net/~ ~ ◆https://qiita.com/kotmats/items/d09f09f23308627b42ab~ ~ ◆https://qiita.com/c60evaporator/items/d0356fca12b37a82fe57#%E3%83%81%E3%83%A5%E3%83%BC%E3%83%8B%E3%83%B3%E3%82%B0%E6%89%8B%E9%A0%86~ ~ ハイパーパラメータ~ ~ ◆https://qiita.com/c60evaporator/items/d0356fca12b37a82fe57~ ~ ◆https://free.kikagaku.ai/tutorial/basic_of_machine_learning/learn/machine_learning_hyperparameters~ ~ ◆https://happy-analysis.com/python/python-topic-kfold.html#google_vignette~ ~ ◆https://qiita.com/c60evaporator/items/ca7eb70e1508d2ba5359~ ~ [プログラム関連]~ ~ ◆Build Tools ~ https://qiita.com/matskeng/items/43988856501ca94526e4~ ◆Github Adaptive Elastic Net ~ https://github.com/seanahmad/adaptive-elastic-net https://real-world-evidence.org/multicollinearity/ \begin{enumerate} \item Yukiyanai, T. (2020). \textit{欠落変数バイアスと処置後変数バイアスの検討}. Retrieved from [yukiyanai.github.io](https://yukiyanai.github.io/jp/classes/econometrics2/contents/R/omitted-variable-bias.html) (2020). \item \textit{欠落変数バイアスと回帰分析の影響}. Retrieved from [goodnalife.com](https://www.goodnalife.com/entry/2020/02/26/230731) (2020). \bibitem{interaction_method} 交互作用の定義と具体例. \textit{ビジネスリサーチラボ}. URL: \url{https://www.business-research-lab.com/220606/?utm_source=chatgpt.com} \bibitem{interaction_effects} 重回帰分析における交互作用項の導入方法. \textit{広島女学院大学}. URL: \url{https://hijiyama-u.repo.nii.ac.jp/records/306?utm_source=chatgpt.com} \textbf{参考文献} \end{flushleft} \begin{thebibliography}{99} \bibitem{StatJP} 総務省統計局（2021）「ヘドニック法について」。オンライン。 [https://www.stat.go.jp/info/ronbun/pdf/cpi0611.pdf]
