GILD 发表于 2025-3-26 21:03:25

Asymptotic Upper Bounds for the Optimal Design Length in Factor Screening Experimentsvalues of ..and ..and n → ∞. We prove a general result allowing us in many particular cases to get the asymptotic law for . (n),n → ∞. We then apply this result to derive asymptotic upper bounds for the optimal design length in the problem of binary screening.

FLAGR 发表于 2025-3-27 03:16:10

Breakdown Points of Estimators for Aspects of Linear Modelsr the question is considered whether a high breakdown point of the estimator .for β implies a high breakdown point of ..It is shown that the breakdown point behavior depends strongly on the design as is the case for estimating the whole parameter vector β.

工作 发表于 2025-3-27 07:10:42

http://reply.papertrans.cn/63/6202/620194/620194_33.png

keloid 发表于 2025-3-27 12:15:19

http://reply.papertrans.cn/63/6202/620194/620194_34.png

音乐学者 发表于 2025-3-27 15:15:09

Analytical Theory of E-Optimal Designs for Polynomial Regression on a Segmentf E—optimal designs as functions of the location point and the length of segments. Such an approach was developed in a number of previous author’s papers. Here we give a review of basic results obtained in this way. The theory is illustrated for quadratic regression on an arbitrary segment.

ECG769 发表于 2025-3-27 20:56:34

D-Optimal Designs for Weighted Polynomial Regression Without any Initial Termsrt points are equal, the optimal designs can be computed analytically. The supports of the optimal designs found are related to the zeros of an orthogonal polynomial or to an eigenvector of a special tridiagonal matrix.

细微差别 发表于 2025-3-27 22:38:36

http://reply.papertrans.cn/63/6202/620194/620194_37.png

Acquired 发表于 2025-3-28 05:24:19

http://reply.papertrans.cn/63/6202/620194/620194_38.png

Melanoma 发表于 2025-3-28 08:17:58

http://reply.papertrans.cn/63/6202/620194/620194_39.png

optional 发表于 2025-3-28 13:38:29

http://reply.papertrans.cn/63/6202/620194/620194_40.png
页: 1 2 3 [4] 5 6 7
查看完整版本: Titlebook: MODA 5 - Advances in Model-Oriented Data Analysis and Experimental Design; Proceedings of the 5 Anthony C. Atkinson,Luc Pronzato,Henry P. W