Search icon CANCEL
Subscription
0
Cart icon
Close icon
You have no products in your basket yet
Save more on your purchases!
Savings automatically calculated. No voucher code required
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
Hands-On Time Series Analysis with R

You're reading from  Hands-On Time Series Analysis with R

Product type Book
Published in May 2019
Publisher Packt
ISBN-13 9781788629157
Pages 448 pages
Edition 1st Edition
Languages
Author (1):
Rami Krispin Rami Krispin
Profile icon Rami Krispin

Table of Contents (14) Chapters

Preface 1. Introduction to Time Series Analysis and R 2. Working with Date and Time Objects 3. The Time Series Object 4. Working with zoo and xts Objects 5. Decomposition of Time Series Data 6. Seasonality Analysis 7. Correlation Analysis 8. Forecasting Strategies 9. Forecasting with Linear Regression 10. Forecasting with Exponential Smoothing Models 11. Forecasting with ARIMA Models 12. Forecasting with Machine Learning Models 13. Other Books You May Enjoy

Seasonal analysis with descriptive statistics

Descriptive statistics are a simple yet powerful method to describe the key statistical characteristics of the data. This method is based on the use of summary statistics tables and is a summary of the key statistical indicators, such as the mean, median, quantile, and standard deviation, and data visualization tools, such as box plots and bar charts. Descriptive statistics can be used to describe the characteristics of the frequency units of a series. This allows us to identify whether we can segment each period of the series by some statistical criteria, for example, the mean, the quantile range, and so on.

The applications of the descriptive statistics methods are different from the ones of the statistical inference methods. While the first provides descriptions and insights on the data, the second offers conclusive insights about...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €14.99/month. Cancel anytime}