This book presents a new augmentation method to eliminate the multicollinearity in datasets that contain several correlated predictor variables. The objective in mind is to reduce the estimation error of the regression coefficients. The main contribution of this work consists in offering a new alternative to eliminate multicollinearity in datasets by using small runs which are added in a sequential manner. The algorithm proposed will indicate the point in which the augmentations have sufficiently contributed to find the true regression model. The procedure is based on addition of new observations to the point in which an appropriate regression model can be constructed. The new information is obtained through designed experiments using the R3 algorithm as a guideline to perform the augmentations and the Ridge Trace and VIF statistic as verification tools that help to determine the point in which the correlations have been significantly reduced. The final result is a linear regression model that accurately represents the process under study.

About the Author

M.I.E. Russell P�rez Gonz�lez received his I.E. from Instituto de Tuxtla Guti�rrez, Chiapas and his Masters from Technological Institute of Celaya, Guanajuato. M.I.E. Russell�s degrees are all in Industrial Engineering. His concentration area includes experimental design, mechanical design and technology management.

"About this title" may belong to another edition of this title.

Store Description

We carry a wide selection of books from South Asia, United States, UK.

Visit Seller's Storefront

Seller's business information

Readingos GmbH
Kaiserstra�e 47, Frankfurt am Main, 60329, Germany

Sale & Shipping Terms

Terms of Sale

Shipping Terms

To ensure faster delivery, books may be shipped from any of the following locations Germany, the United Kingdom (UK), the United States (US), based on the buyer's address and product availability.

Shipping rates from Germany to U.S.A.

Shipping rates from Germany to U.S.A.
Order quantity	25 to 45 business days	8 to 14 business days
First item	US$ 11.56	US$ 21.73

Delivery times are set by sellers and vary by carrier and location. Orders passing through Customs may face delays and buyers are responsible for any associated duties or fees. Sellers may contact you regarding additional charges to cover any increased costs to ship your items.