Time Series Analysis by Example: Hands on approach using R

by Faye Anderson

This book provides introductory to advanced examples of how to use and interpret statistical analyses especially those related to time series data. The book contains real-life comprehensive examples that will suffice the user to complete their analyses. This book also addresses common mistakes and myths when applying and interpreting statistical analyses. It also provides road maps in the form of flowcharts on how to proceed from one analysis to the next. In this book you will • Time series objects, classes and how to convert between the two • Hypothesis testing • Stationarity, differencing, and transforming a time series • Linear and non-linear models for time series data

123 pages, Kindle Edition

Published February 6, 2017