Linear Predictors

Regression with Linear Predictors  eBooks & eLearning

Posted by ChrisRedfield at Oct. 28, 2014
Regression with Linear Predictors

Per Kragh Andersen, Lene Theil Skovgaard - Regression with Linear Predictors
Published: 2010-07-24 | ISBN: 1441971696, 1461426278 | PDF | 504 pages | 3 MB

Linear Regression, GLMs and GAMs with R  eBooks & eLearning

Posted by naag at Jan. 21, 2016
Linear Regression, GLMs and GAMs with R

Linear Regression, GLMs and GAMs with R
MP4 | Video: AVC (.mp4) 1280x720 | Audio: AAC 44KHz 2ch | Duration: 8 Hours | 2.16 GB
Genre: eLearning | Language: English

How to extend linear regression to specify and estimate generalized linear models and additive models.

Linear Models with R [Print Replica]  eBooks & eLearning

Posted by AlenMiler at March 25, 2018
Linear Models with R [Print Replica]

Linear Models with R, Second Edition (Chapman & Hall/CRC Texts in Statistical Science) by Julian J. Faraway
English | 14 Aug. 2014 | ISBN: 1439887330 | 286 Pages | PDF | 42 MB

Hierarchical Linear Models: Applications and Data Analysis Methods  eBooks & eLearning

Posted by step778 at Jan. 18, 2018
Hierarchical Linear Models: Applications and Data Analysis Methods

Stephen W. Raudenbush, Anthony S. Bryk, "Hierarchical Linear Models: Applications and Data Analysis Methods"
2001 | pages: 510 | ISBN: 076191904X | PDF | 6,0 mb

Linear Regression Analysis Basics in SPSS Statistics  eBooks & eLearning

Posted by Rare-1 at Jan. 5, 2016
Linear Regression Analysis Basics in SPSS Statistics

Linear Regression Analysis Basics in SPSS Statistics
WEBRip | MP4/AVC, ~393 kb/s | 1280 x 720| English: AAC, 48.0 kb/s (2 ch), 44.1 KHz | 411 MB
Genre: Business / Data & Analytics | Language: English | +Project Files

Beginner and Intermediate Data Analytic Methods for Testing Main Effects & Interactions with SPSS and the PROCESS Macro

Vectors - Delivery Linear Icons  Graphics

Posted by posterb at May 24, 2018
Vectors - Delivery Linear Icons

Vectors - Delivery Linear Icons
3 AI | +TIFF Preview | 37 Mb

Geometric Control of Patterned Linear Systems (Repost)  eBooks & eLearning

Posted by DZ123 at May 23, 2018
Geometric Control of Patterned Linear Systems (Repost)

Sarah C. Hamilton, Mireille E. Broucke, "Geometric Control of Patterned Linear Systems"
English | 2012 | ISBN: 3642288030 | PDF | pages: 165 | 3.1 mb

Applied Linear Algebra and Matrix Analysis, Second Edition (Repost)  eBooks & eLearning

Posted by AvaxGenius at May 21, 2018
Applied Linear Algebra and Matrix Analysis, Second Edition (Repost)

Applied Linear Algebra and Matrix Analysis, Second Edition By Thomas S. Shores
English | EPUB | 2018 | 491 Pages | ISBN : 3319747479 | 9.44 MB

In its second edition, this textbook offers a fresh approach to matrix and linear algebra. Its blend of theory, computational exercises, and analytical writing projects is designed to highlight the interplay between these aspects of an application. This approach places special emphasis on linear algebra as an experimental science that provides tools for solving concrete problems.

Non-Linear Optical Materials  eBooks & eLearning

Posted by Underaglassmoon at May 21, 2018
Non-Linear Optical Materials

Non-Linear Optical Materials
MRF | English | 2018 | ISBN-10: 1945291605 | 196 pages | PDF | 10.13 MB

by R. Saravanan (Author)
Advances in the Control of Markov Jump Linear Systems with No Mode Observation (Repost)

Advances in the Control of Markov Jump Linear Systems with No Mode Observation By Alessandro N. Vargas
English | PDF,EPUB | 2016 | 52 Pages | ISBN : 3319398342 | 2.91 MB

This brief broadens readers’ understanding of stochastic control by highlighting recent advances in the design of optimal control for Markov jump linear systems (MJLS). It also presents an algorithm that attempts to solve this open stochastic control problem, and provides a real-time application for controlling the speed of direct current motors, illustrating the practical usefulness of MJLS. Particularly, it offers novel insights into the control of systems when the controller does not have access to the Markovian mode.