Krispin Hands-On Time Series Analysis with R

Perform time series analysis and forecasting using R
1. Auflage 2019
ISBN: 978-1-78862-404-6
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 448 Seiten

No detailed description available for "Hands-On Time Series Analysis with R".

Autoren/Hrsg.

Krispin, Rami

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsvisualisierung
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie

Inhaltsverzeichnis

Table of Contents - Introduction to Time Series Analysis and R
- Working with Date and Time Objects
- The Time Series Object
- Working with zoo and xts Objects
- Decomposition of Time Series Data
- Seasonality Analysis
- Correlation Analysis
- Forecasting Strategies
- Forecasting with Linear Regression
- Forecasting with Exponential Smoothing Models
- Forecasting with ARIMA Models
- Forecasting with Machine Learning Models

Über Autor(innen)

Krispin Rami:

Rami Krispin is a data scientist at a major Silicon Valley company, where he focuses on time series analysis and forecasting. In his free time, he also develops open source tools and is the author of several R packages, including the TSstudio package for time series analysis and forecasting applications. Rami holds an MA in Applied Economics and an MS in actuarial mathematics from the University of MichiganAnn Arbor.