Trends and Patterns

Introduction

A trend is a characteristic of time series data to go up, down or stay the same over time. Generally, there are two (monotonic and step trend) ways over which trend can be observed within the time series data. The monotonic trend refers to gradual change in the measurement that is consistent in direction over time whereas step trend refers to an abrupt change in the measurement at a specific point in time.

Contents

Parametric trend methods

Obey some assumptions e.g Linear regression



Non-Parametric trend methods

Do not follow any assumptions except data has to be independent