看板 NCTU-STAT95G 關於我們 聯絡資訊
※ 引述《Oyin (Lazy)》之銘言: 大家把自己要說的Paper題目先放上來吧 這樣子就不會衝到嚕*^^*有更改的也要記得改喔~0~ ID Title P.S ---------------------------------------------------------------------------------- Lazy On the Roles of observations in collinearity in the Linear Model. yu-ling R-squared and Prediction in Regression with ordered quantitaive response cathering On the use of Regression Diagnostics josephw Graphics for Assessing the Adequacy of Regression Models ym7226 Using Leverage and Influence to Introduction Regression Diagnostics mangogo Influential Observations, High Leverage Points, and Outliers in Linear Regression TYT524 Influential Observations in Linear Regression (or)Influence Diagnostics for Generalized Linear Measurement Error Models YOSHIKI An evaluation of bootstrap methods for outlier detection in least squares regression 看不懂~ ~봊uranuss Regression Analysis for a Functional Response mrliang Simultaneous Prediction Intervals for a Regression Model 可能會改 lily10 Least squares regression v.s Geometric mean regression for Ecotoxicology studies mythology Graphs in Statistical Analysis:Is the Medium the Message? 或者 Some results on extensions and modifications of the Theil-Sen regression estimator od103 identifying multiple Influential Observations in Linear Regression glads residuals from deletion in added variable plots linflounder Influential Observations and Outliers in Regression or Efficient computing of regression Diagnostics huiki Statistical Models and Pitfalls in Environmental Data Analysis desiregr A Robust Look at the Use of Regression Diagnostics -- ※ 發信站: 批踢踢實業坊(ptt.cc) ◆ From: 61.216.218.111