Posted by **happy4all** at Dec. 1, 2015

2015 | 604 Pages | ISBN: 1493928171 | PDF | 10 MB

Posted by **interes** at May 1, 2015

English | 2014 | ISBN: 1439887330 | 286 pages | PDF | 1,7 MB

Posted by **AvaxGenius** at April 18, 2017

This text covers both multiple linear regression and some experimental design models. The text uses the response plot to visualize the model and to detect outliers, does not assume that the error distribution has a known parametric distribution, develops prediction intervals that work when the error distribution is unknown, suggests bootstrap hypothesis tests that may be useful for inference after variable selection, and develops prediction regions and large sample theory for the multivariate linear regression model that has m response variables.

Posted by **naag** at Jan. 26, 2017

L. Jyothish Kumar

English | PDF | 195 Pages | 2017 | ISBN : 9811008116 | 5.55 MB

Posted by **readerXXI** at Jan. 24, 2017

Linear Modeling for Unbalanced Data, Second Edition

English | 2016 | ISBN: 1498730140 | 631 Pages | PDF | 6.44 MB

Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data, Second Edition presents linear structures for modeling data with an emphasis on how to incorporate specific ideas (hypotheses) about the structure of the data into a linear model for the data.

Posted by **roxul** at Nov. 30, 2016

English | 2014 | ISBN: 0199857946 | 560 pages | PDF | 3,5 MB

Posted by **ParRus** at Nov. 10, 2016

WEBRip | English | MP4 | 1280 x 720 | AVC ~936 kbps | 30 fps

AAC | 61.9 Kbps | 44.1 KHz | 2 channels | 05:52:02 | 2.39 GB

Use the R Programming Language to execute data science projects and become a data scientist. Implement business solutions, using machine learning and predictive analytics. The R language provides a way to tackle day-to-day data science tasks, and this course will teach you how to apply the R programming language and useful statistical techniques to everyday business situations. With this course, you'll be able to use the visualizations, statistical models, and data manipulation tools that modern data scientists rely upon daily to recognize trends and suggest courses of action.

Posted by **readerXXI** at Oct. 29, 2016

by David Ian Wimpenny and Pulak M. Pandey

English | 2017 | ISBN: 9811008116 | 195 Pages | True PDF | 5,58 MB

This edited volume comprises select chapters on advanced technologies for 3D printing and additive manufacturing and how these technologies have changed the face of direct, digital technologies for rapid production of models, prototypes and patterns.

Posted by **roxul** at Oct. 15, 2016

English | ISBN: 9811008116 | 2017 | 186 pages | PDF | 6 MB

Posted by **Underaglassmoon** at Sept. 30, 2016

Wiley ISTE | Materials Science | Oct. 03 2016 | ISBN-10: 1848219474 | 272 pages | pdf | 14.25 mb

by Bouchaib Radi (Author), Abdelkhalak El Hami (Author)