Regression

Machine Learning Fundamentals – Linear & Logistic Regression  eBooks & eLearning

Posted by BlackDove at Feb. 6, 2022
Machine Learning Fundamentals – Linear & Logistic Regression

Machine Learning Fundamentals – Linear & Logistic Regression
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
Language: English | Size: 433 MB | Duration: 50m


Complete Regression Analysis with Python

Multivariate Reduced-Rank Regression  eBooks & eLearning

Posted by hill0 at Dec. 2, 2022
Multivariate Reduced-Rank Regression

Multivariate Reduced-Rank Regression: Theory, Methods and Applications
English | 2022 | ISBN: 1071627910 | 450 Pages | PDF EPUB (True) | 27 MB

Logistic Regression using SPSS  eBooks & eLearning

Posted by lucky_aut at Oct. 30, 2023
Logistic Regression using SPSS

Logistic Regression using SPSS
Released: Published 10/2023
Duration: 2h2m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 988 MB
Genre: eLearning | Language: English

Fixed Effects Regression Methods for Longitudinal Data Using SAS  eBooks & eLearning

Posted by step778 at March 22, 2018
Fixed Effects Regression Methods for Longitudinal Data Using SAS

Paul D. Allison, "Fixed Effects Regression Methods for Longitudinal Data Using SAS"
2005 | pages: 161 | ISBN: 1590475682 | PDF | 5,1 mb

Nonlinear Regression  eBooks & eLearning

Posted by AvaxGenius at Oct. 9, 2022
Nonlinear Regression

Nonlinear Regression by G. A. F. Seber, C. J. Wild
English | PDF | 1989 | 782 Pages | ISBN : 0471617601 | 64.3 MB

"Nonlinear Regression also includes a reference list of over 700 entries. The compilation of this material and cross-referencing of it is one of the most valuable aspects of the book. Nonlinear Regression can provide the researcher unfamiliar with a particular specialty area of nonlinear regression an introduction to that area of nonlinear regression and access to the appropriate references . . . Nonlinear Regression provides by far the broadest discussion of nonlinear regression models currently available and will be a valuable addition to the library of anyone interested in understanding and using such models including the statistical researcher."
–Mathematical Reviews

Handbook of Regression Methods  eBooks & eLearning

Posted by ksveta6 at May 26, 2019
Handbook of Regression Methods

Handbook of Regression Methods by Derek Scott Young
2017 | ISBN: 1498775292 | English | 654 pages | PDF | 31 MB

Applied Linear Regression  eBooks & eLearning

Posted by JohnZulzman at Sept. 16, 2014
Applied Linear Regression

Applied Linear Regression
Wiley; 3 edition | ISBN: 0471663794 | 336 pages | PDF | February 11, 2005 | English | 4.29 Mb

Regression Analysis  eBooks & eLearning

Posted by naag at Oct. 15, 2015
Regression Analysis

Regression Analysis
MP4 | Video: 1280x720 | 67 kbps | 44 KHz | Duration: 3 Hours | 594 MB
Genre: eLearning | Language: English

Regression Data Analytics with SPSS and Microsoft Excel
Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis

Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis (2nd edition) By Jr. Frank E. Harrell
2015 | 610 Pages | ISBN: 3319194240 | PDF | 8 MB

Orbs - Past Life Regression (2016)  Music

Posted by SERTiL at Aug. 16, 2016
Orbs - Past Life Regression (2016)

Orbs - Past Life Regression
Prog-Rock, Indie Rock | MP3 CBR 320 kbps | 54:32 min | 133 MB + 5% Recovery
Label: Equal Vision Records | Tracks: 09 | Rls.date: 2016

I hope I'm not the only person out there who's been patiently-but-impatiently awaiting Orbs' sophomore album after the successful experimentation employed on their initial release, Asleep Next to Science. The dynamic, playful, and childhood, science, and space-centered album dissolved the "supergroup" albatross immediately conferred upon the band created by Dan Briggs (Between the Buried and Me), Adam Fisher (Fear Before), and Ashley Ellyllon (Abigail Williams, Cradle of Filth) and turned it into something beautiful - a grandiose prog rock album with delightfully strange lyrics.