Regression: theory and practice. With an example in R and Stan
Please sign in so that we can notify you about a reply
Regression is a statistical method that allows you to find an equation that best describes a set of data. Regression analysis allows you to simulate, verify and investigate spatial relations, and in some cases establish causal relationships between independent and dependent variables.
This book presents a practical approach to the computer construction of regression models. After reading it and working out the exercises, you will learn how to choose, create, interpret and evaluate linear and generalized linear models and use them to make forecasts and conclusions.
The publication is intended for a wide range of data on analysis and processing specialists, and can also serve as a textbook for students of technical universities
This book presents a practical approach to the computer construction of regression models. After reading it and working out the exercises, you will learn how to choose, create, interpret and evaluate linear and generalized linear models and use them to make forecasts and conclusions.
The publication is intended for a wide range of data on analysis and processing specialists, and can also serve as a textbook for students of technical universities
Author:
Author:Гельман Эндрю, Вехтари Аки, Хилл Дженнифер
Cover:
Cover:Soft
Category:
- Category:Business & Money
- Category:Science & Math
Paper:
Paper:Offset
Age restrictions:
Age restrictions:18+
ISBN:
ISBN:978-5-97060-987-3
No reviews found