Regression With Social Data
Regression With Social Data: Modeling Continuous and Limited Response Variables (repost) eBooks & eLearning
Posted by libr at Oct. 3, 2017
Regression With Social Data: Modeling Continuous and Limited Response Variables by Alfred DeMaris
English | 2004-09-10 | ISBN: 0471223379 | 563 pages | PDF | 4,7 mb
English | 2004-09-10 | ISBN: 0471223379 | 563 pages | PDF | 4,7 mb
Logistic Regression in SPSS: A Complete Guide eBooks & eLearning
Posted by lucky_aut at April 4, 2022
Logistic Regression in SPSS: A Complete Guide
Duration: 4h 24m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.7 GB
Genre: eLearning | Language: English
Duration: 4h 24m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.7 GB
Genre: eLearning | Language: English
Complete step by step guide on logistic regression in SPSS including interpretation and visualization
Supervised Learning - Regression Models eBooks & eLearning
Posted by Sigha at Sept. 13, 2023
Supervised Learning - Regression Models
Last updated 9/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 4.38 GB | Duration: 13h 45m
Last updated 9/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 4.38 GB | Duration: 13h 45m
Supervised Learning - Regression Models
Supervised Learning - Regression Models eBooks & eLearning
Posted by Sigha at Aug. 12, 2023
Supervised Learning - Regression Models
Last updated 8/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 4.29 GB | Duration: 13h 13m
Last updated 8/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 4.29 GB | Duration: 13h 13m
Supervised Learning - Regression Models
Linear Regression Models: Applications in R eBooks & eLearning
Posted by yoyoloit at July 24, 2021
Linear Regression Models: Applications in R
by John P. Hoffmann
English | 2021 | ISBN: 0367753669 | 437 pages | True PDF | 104.53 MB
by John P. Hoffmann
English | 2021 | ISBN: 0367753669 | 437 pages | True PDF | 104.53 MB
Statistical Learning from a Regression Perspective Ed 3 eBooks & eLearning
Posted by roxul at June 29, 2020
Richard A. Berk, "Statistical Learning from a Regression Perspective Ed 3"
English | ISBN: 303040188X | 2020 | 459 pages | EPUB, PDF | 29 MB + 13 MB
English | ISBN: 303040188X | 2020 | 459 pages | EPUB, PDF | 29 MB + 13 MB
Machine Learning with R - Fourth Edition: Learn techniques for building and improving machine learning models eBooks & eLearning
Posted by Free butterfly at Nov. 18, 2024
Machine Learning with R - Fourth Edition: Learn techniques for building and improving machine learning models, from data preparation to model tuning, evaluation, and working with big data by Brett Lantz
English | May 29, 2023 | ISBN: 1801071322 | 762 pages | MOBI | 11 Mb
English | May 29, 2023 | ISBN: 1801071322 | 762 pages | MOBI | 11 Mb
Event History Analysis with R, 2nd Edition eBooks & eLearning
Posted by yoyoloit at Aug. 19, 2021
Event History Analysis with R; Second Edition
by Göran Broström
English | 2021 | ISBN: 1138587710 | 341 pages | True PDF | 6.46 MB
by Göran Broström
English | 2021 | ISBN: 1138587710 | 341 pages | True PDF | 6.46 MB
Applied Linear Regression for Longitudinal Data eBooks & eLearning
Posted by Free butterfly at Dec. 17, 2023
Applied Linear Regression for Longitudinal Data by Frans E.S. Tan, Shahab Jolani
English | December 9, 2022 | ISBN: 0367634317 | 248 pages | MOBI | 6.05 Mb
English | December 9, 2022 | ISBN: 0367634317 | 248 pages | MOBI | 6.05 Mb
Smoothing and Regression: Approaches, Computation, and Application eBooks & eLearning
Posted by AvaxGenius at Oct. 17, 2022
Smoothing and Regression: Approaches, Computation, and Application by Michael G. Schimek
English | PDF | 2000 | 635 Pages | ISBN : 0471179469 | 44.4 MB
A comprehensive introduction to a wide variety of univariate and multivariate smoothing techniques for regression
Smoothing and Regression: Approaches, Computation, and Application bridges the many gaps that exist among competing univariate and multivariate smoothing techniques. It introduces, describes, and in some cases compares a large number of the latest and most advanced techniques for regression modeling. Unlike many other volumes on this topic, which are highly technical and specialized, this book discusses all methods in light of both computational efficiency and their applicability for real data analysis.