73-104

• Karioti, Vassiliki

Problems that arise in a variety of fields, such as business, economics, sociology, physics, engineering, medical and public health, can adequately be represented by time series. Time series analysis has been promoted as the statistical method of choice in the case of data arising from observations collected over a long period of time. Data are ordered with respect to time and observations are not usually expected to be independent. As a matter of fact, it is focused on the dependence of successive observations. In time series analysis the data is usually considered to be equally or almost equally spaced time intervals in order to generate hourly, daily, monthly or quarterly data. Such time series are called discrete time series, in contrast with continuous time series, which exist at every point time. The discrete time series are the most commonly used.

• Economics and Business

• Economics

ARIMA models, Box-Jenkins Methodology, Transfer functions, Intervention Analysis, Short time series, Outliers

JEL classification: C1, C3