去是公开 发表于 2025-3-21 17:42:20
书目名称Linear Models and Generalizations影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0586344<br><br> <br><br>书目名称Linear Models and Generalizations影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0586344<br><br> <br><br>书目名称Linear Models and Generalizations网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0586344<br><br> <br><br>书目名称Linear Models and Generalizations网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0586344<br><br> <br><br>书目名称Linear Models and Generalizations被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0586344<br><br> <br><br>书目名称Linear Models and Generalizations被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0586344<br><br> <br><br>书目名称Linear Models and Generalizations年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0586344<br><br> <br><br>书目名称Linear Models and Generalizations年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0586344<br><br> <br><br>书目名称Linear Models and Generalizations读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0586344<br><br> <br><br>书目名称Linear Models and Generalizations读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0586344<br><br> <br><br>Exposition 发表于 2025-3-21 23:13:38
Springer Series in Statisticshttp://image.papertrans.cn/l/image/586344.jpg无法解释 发表于 2025-3-22 03:02:41
http://reply.papertrans.cn/59/5864/586344/586344_3.pngarrogant 发表于 2025-3-22 05:03:15
The Multiple Linear Regression Model and Its Extensions,The main topic of this chapter is the linear regression model with more than one independent variables. The principles of . and . are used for the estimation of parameters. We present the algebraic, geometric, and statistical aspects of the problem, each of which has an intuitive appeal.语源学 发表于 2025-3-22 10:14:25
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Prediction in the Generalized Regression Model,68, 1970a, 1970b, 1970c). One of the main aims of the above publications is to examine the conditions under which biased estimators can lead to an improvement over conventional unbiased procedures. In the following, we will concentrate on recent results connected with alternative superiority criteria.熔岩 发表于 2025-3-22 23:22:45
Sensitivity Analysis,en values of regressor variables. Methods for detecting outliers and deviation from normality of the distribution of errors are given in some detail. The material of this chapter is drawn mainly from the excellent book by Chatterjee and Hadi (1988).Range-Of-Motion 发表于 2025-3-23 04:09:46
http://reply.papertrans.cn/59/5864/586344/586344_9.pngHallmark 发表于 2025-3-23 05:38:48
Models for Categorical Response Variables,ationship between the expectation of a response variable and unknown predictor variables according to . The parameters are estimated according to the principle of least squares and are optimal according to minimum dispersion theory, or in case of a normal distribution, are optimal according to the ML theory (cf. Chapter 3).