Linear Statistical Models: An Applied Approach
Regression Models for Categorical, Count, and Related Variables: An Applied Approach eBooks & eLearning
Posted by arundhati at March 11, 2022
Dr. John P. Hoffmann, "Regression Models for Categorical, Count, and Related Variables: An Applied Approach"
English | ISBN: 0520289293 | 2016 | 432 pages | PDF | 11 MB
English | ISBN: 0520289293 | 2016 | 432 pages | PDF | 11 MB
Regression Models for Categorical, Count, and Related Variables: An Applied Approach eBooks & eLearning
Posted by Grev27 at Aug. 17, 2020
Regression Models for Categorical, Count, and Related Variables: An Applied Approach by Dr. John P. Hoffmann
English | ISBN: 0520289293 | 432 pages | EPUB | August 16, 2016 | 60 Mb
English | ISBN: 0520289293 | 432 pages | EPUB | August 16, 2016 | 60 Mb
Generalized Additive Models: An Introduction with R, Second Edition (Chapman & Hall/CRC Texts in Statistical Science) eBooks & eLearning
Posted by AlenMiler at May 21, 2017
Generalized Additive Models: An Introduction with R, Second Edition (Chapman & Hall/CRC Texts in Statistical Science) by Simon N. Wood
English | 18 May 2017 | ASIN: B071Z9L5D5 | 496 Pages | AZW3 | 10.4 MB
English | 18 May 2017 | ASIN: B071Z9L5D5 | 496 Pages | AZW3 | 10.4 MB
Generalized Additive Models: An Introduction with R, Second Edition eBooks & eLearning
Posted by Underaglassmoon at Feb. 7, 2018
Generalized Additive Models: An Introduction with R, Second Edition
CRC Press | English | 2017 | ISBN-10: 1498728332 | 496 pages | EPUB | 10.36 mb
CRC Press | English | 2017 | ISBN-10: 1498728332 | 496 pages | EPUB | 10.36 mb
by Simon N. Wood (Author)
Model-Based Processing: An Applied Subspace Identification Approach eBooks & eLearning
Posted by roxul at March 17, 2019
James V. Candy, "Model-Based Processing: An Applied Subspace Identification Approach"
English | ISBN: 1119457769 | 2019 | 544 pages | PDF | 19 MB
English | ISBN: 1119457769 | 2019 | 544 pages | PDF | 19 MB
Linear Mixed-Effects Models Using R: A Step-by-Step Approach (repost) eBooks & eLearning
Posted by arundhati at July 2, 2020
Andrzej Gałecki, "Linear Mixed-Effects Models Using R: A Step-by-Step Approach "
English | ISBN: 1461438993 | 2013 | 574 pages | PDF | 11 MB
English | ISBN: 1461438993 | 2013 | 574 pages | PDF | 11 MB
Income Distribution Dynamics of Economic Systems: An Econophysical Approach eBooks & eLearning
Posted by hill0 at March 6, 2020
Income Distribution Dynamics of Economic Systems: An Econophysical Approach
by Marcelo Byrro Ribeiro
English | 2020 | ISBN: 1107092531 | 301 Pages | PDF | 5 MB
by Marcelo Byrro Ribeiro
English | 2020 | ISBN: 1107092531 | 301 Pages | PDF | 5 MB
Statistical Modeling Explained Using Python eBooks & eLearning
Posted by ELK1nG at Dec. 28, 2022
Statistical Modeling Explained Using Python
Published 12/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 896.61 MB | Duration: 2h 53m
Published 12/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 896.61 MB | Duration: 2h 53m
Learn complete Statistical Analysis Alongside Regression Analysis in Python
Vector Generalized Linear and Additive Models: With an Implementation in R [repost] eBooks & eLearning
Posted by naag at April 3, 2017
![Vector Generalized Linear and Additive Models: With an Implementation in R [repost]](https://pixhost.icu/avaxhome/cf/8a/00448acf_medium.jpg)
Vector Generalized Linear and Additive Models: With an Implementation in R By Thomas W. Yee
2015 | 604 Pages | ISBN: 1493928171 | PDF | 10 MB
2015 | 604 Pages | ISBN: 1493928171 | PDF | 10 MB
Applied Multivariate Data Analysis: Regression and Experimental Design eBooks & eLearning
Posted by AvaxGenius at May 14, 2017
Applied Multivariate Data Analysis: Regression and Experimental Design By J. D. Jobson
English | PDF | 1991 | 646 Pages | ISBN : 1461269601 | 44 MB
An easy to read survey of data analysis, linear regression models and analysis of variance. The extensive development of the linear model includes the use of the linear model approach to analysis of variance provides a strong link to statistical software packages, and is complemented by a thorough overview of theory.