Statistical Modeling Theory: Variable Types & Design Matrices (Statistics) by Christopher Panaretos
Requirements: .PDF reader, 7 MB
Overview: This book briefly explains how statistical models are applied to data sets.
The first part of the book lists 16 types of variables that appear in statistics, and these types can apply to predictor or response variables.
The second part works through example data sets using the R programming language, covering different combinations of predictor and response types.
In the final part of the book, various predictor types are used to illustrate how their information is encoded as a matrix. Seeing this design matrix is helpful for understanding how computers fit statistical models to data.
Genre: Non-Fiction > Educational
Download Instructions:
https://userupload.net/2sr197522egy
https://dropgalaxy.vip/93u6jgdbqr9u
Trouble downloading? Read This.
Requirements: .PDF reader, 7 MB
Overview: This book briefly explains how statistical models are applied to data sets.
The first part of the book lists 16 types of variables that appear in statistics, and these types can apply to predictor or response variables.
The second part works through example data sets using the R programming language, covering different combinations of predictor and response types.
In the final part of the book, various predictor types are used to illustrate how their information is encoded as a matrix. Seeing this design matrix is helpful for understanding how computers fit statistical models to data.
Genre: Non-Fiction > Educational
Download Instructions:
https://userupload.net/2sr197522egy
https://dropgalaxy.vip/93u6jgdbqr9u
Trouble downloading? Read This.