Forecasting: Principles and Practice
A

Forecasting: Principles and Practice

R
R time series forecasting statistical methods data analysis business applications practical exercises
Author
Ron Hindman, George Atanasopoulos
Publisher
DMK Press
Year
2023
Language
Russian
137
Rate this book

To read the book, log in / register

Preview fragment

Similar books

Practical Statistics for Data Science Professionals: 50+ Essential Concepts Using R and Python

Practical Statistics for Data Science Professionals: 50+ Essential Concepts Using R and Python

Peter Bruce, Andrew Bruce, Peter Gedeck

Regression: Theory and Practice. With Examples in R and Stan

Regression: Theory and Practice. With Examples in R and Stan

Andrew Gelman, Jennifer Hill, Aki Vehtari

R in Action. Data Analysis and Visualization with R and Tidyverse

R in Action. Data Analysis and Visualization with R and Tidyverse

Robert I. Kabakov

Learning Data Science. Data Processing, Exploration, Visualization, and Modeling with Python

Learning Data Science. Data Processing, Exploration, Visualization, and Modeling with Python

Sam Lau, Joseph Gonzalez, Deborah Nolan

Predictive Modeling in IBM SPSS Statistics, R, and Python: Decision Trees and Random Forest

Predictive Modeling in IBM SPSS Statistics, R, and Python: Decision Trees and Random Forest

Artem Gruzdev

Cross-platform software development

Cross-platform software development

M. G. Gorodnichev, T. D. Fatkhulin, Kh. A. Dzhabrailov

Diving into Data Analytics

Diving into Data Analytics

George Mount

Essential Algorithms: A Practical Approach to Computer Algorithms

Essential Algorithms: A Practical Approach to Computer Algorithms

Rod Stephens

Algorithms in Practice. Solving Real-World Problems

Algorithms in Practice. Solving Real-World Problems

Daniel Zingaro

Causal Analysis in Data Science

Causal Analysis in Data Science

Alex Ruiz de Villa Robert