TINGE
发表于 2025-3-21 19:36:22
书目名称Regression Analysis with Applications影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0825512<br><br> <br><br>书目名称Regression Analysis with Applications影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0825512<br><br> <br><br>书目名称Regression Analysis with Applications网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0825512<br><br> <br><br>书目名称Regression Analysis with Applications网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0825512<br><br> <br><br>书目名称Regression Analysis with Applications被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0825512<br><br> <br><br>书目名称Regression Analysis with Applications被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0825512<br><br> <br><br>书目名称Regression Analysis with Applications年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0825512<br><br> <br><br>书目名称Regression Analysis with Applications年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0825512<br><br> <br><br>书目名称Regression Analysis with Applications读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0825512<br><br> <br><br>书目名称Regression Analysis with Applications读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0825512<br><br> <br><br>
慢慢啃
发表于 2025-3-21 22:31:21
Data exploration,ation of the data. For some sets of data this may just show a complete lack of unusual or interesting aspects. For others interesting observations, or groups of observations, unexpected structure or relationships may be found in the data. Failure to explore the data before embarking on a formal stat
公共汽车
发表于 2025-3-22 04:05:27
Multicollinearity,.-linear dependencies among the vectors of explanatory variables, so that if the Gaussian elimination of Section 3.2 were used to solve the least squares equations then at least one pivot would be near-zero. The effect of multicollinearity is to inflate the variance of the least squares estimator an
infarct
发表于 2025-3-22 06:19:47
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integral
发表于 2025-3-22 11:00:01
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PAD416
发表于 2025-3-22 15:43:50
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CAMEO
发表于 2025-3-22 17:11:41
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记忆法
发表于 2025-3-22 23:12:22
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legacy
发表于 2025-3-23 04:22:15
Predictions from regression,g the new values of the explanatory variables into the fitted regression equation, and this chapter concentrates mainly on interval estimates. Before going into the question of the variance associated with a prediction, we need to show clearly what the effect is of underfitting and overfitting. Both
誓言
发表于 2025-3-23 06:43:17
Choosing a regression model,ecific case. For access to the literature see Hocking (1976,1983), Mosteller and Tukey (1977), Seber (1977), Thompson, (1978), Daniel and Wood (1980), and Miller (1984). This chapter presents a review of the main points and for further details these references should be consulted.