Multivariate Statistical Modeling Based on Generalized Linear Models

An Introduction to Categorical Data Analysis (repost)  eBooks & eLearning

Posted by libr at May 26, 2017
An Introduction to Categorical Data Analysis (repost)

An Introduction to Categorical Data Analysis by Alan Agresti
English | 2007 | ISBN: 0471226181 | 400 pages | PDF | 2,3 MB

R: Machine Learning With R - Beginner To Expert!: 4-In-1  eBooks & eLearning

Posted by ELK1nG at Jan. 3, 2023
R: Machine Learning With R - Beginner To Expert!: 4-In-1

R: Machine Learning With R - Beginner To Expert!: 4-In-1
Last updated 9/2018
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 6.35 GB | Duration: 13h 27m

Explore the advanced topics in Machine Learning with R in a step by step manner to build powerful predictive models in R

Coursera - Statistics with Python Specialization by University of Michigan  eBooks & eLearning

Posted by kabino at April 26, 2021
Coursera - Statistics with Python Specialization by University of Michigan

Coursera - Statistics with Python Specialization by University of Michigan
Video: .mp4 (1280x720) | Audio: AAC, 44100 kHz, 2ch | Size: 3.56 Gb
Genre: eLearning Video | Duration: 21h 09m | Language: English

Practical and Modern Statistical Thinking For All. Use Python for statistical visualization, inference, and modeling

Models for Discrete Longitudinal Data  eBooks & eLearning

Posted by AvaxGenius at July 3, 2018
Models for Discrete Longitudinal Data

Models for Discrete Longitudinal Data by Geert Molenberghs
English | PDF | 2005 | 679 Pages | ISBN : 0387251448 | 5.52 MB

This book provides a comprehensive treatment on modeling approaches for non-Gaussian repeated measures, possibly subject to incompleteness. The authors begin with models for the full marginal distribution of the outcome vector. This allows model fitting to be based on maximum likelihood principles, immediately implying inferential tools for all parameters in the models.

Models for Discrete Longitudinal Data (Repost)  eBooks & eLearning

Posted by AvaxGenius at July 22, 2018
Models for Discrete Longitudinal Data (Repost)

Models for Discrete Longitudinal Data by Geert Molenberghs
English | PDF | 2005 | 679 Pages | ISBN : 0387251448 | 5.52 MB

This book provides a comprehensive treatment on modeling approaches for non-Gaussian repeated measures, possibly subject to incompleteness. The authors begin with models for the full marginal distribution of the outcome vector. This allows model fitting to be based on maximum likelihood principles, immediately implying inferential tools for all parameters in the models.

Models for Discrete Longitudinal Data (Repost)  eBooks & eLearning

Posted by AvaxGenius at Aug. 7, 2018
Models for Discrete Longitudinal Data (Repost)

Models for Discrete Longitudinal Data by Geert Molenberghs
English | PDF | 2005 | 679 Pages | ISBN : 0387251448 | 5.52 MB

This book provides a comprehensive treatment on modeling approaches for non-Gaussian repeated measures, possibly subject to incompleteness. The authors begin with models for the full marginal distribution of the outcome vector. This allows model fitting to be based on maximum likelihood principles, immediately implying inferential tools for all parameters in the models.

Models for Discrete Longitudinal Data (Repost)  eBooks & eLearning

Posted by AvaxGenius at Aug. 19, 2018
Models for Discrete Longitudinal Data (Repost)

Models for Discrete Longitudinal Data by Geert Molenberghs
English | PDF | 2005 | 679 Pages | ISBN : 0387251448 | 5.52 MB

This book provides a comprehensive treatment on modeling approaches for non-Gaussian repeated measures, possibly subject to incompleteness. The authors begin with models for the full marginal distribution of the outcome vector. This allows model fitting to be based on maximum likelihood principles, immediately implying inferential tools for all parameters in the models.