Forecasting plays an important role in decision making in industry, financial services, commerce and government. In an unpredictable economy, the success of a business or economic policy depends on the ability of the executive officers or managers to anticipate and prepare on what it might happen in the future.

This course provides training on forecasting and modeling techniques, with a wide range of applications in business, finance and the national economy. This course will focus on analysis of such time-bounded data.  From classical forecasting methods to modern procedures, participants will be tasked to produce a model for their own datasets.

What will participants gain?

Enhance capacity of course participants to employ projection and forecasting techniques, using Philippine time series data. Specifically, it aims to introduce descriptive analysis, projection and forecasting of time series, as well as the use of non-structural statistical models, including exponential smoothing procedures and ARIMA models.  

Who can participate?

Technical staff involved in the analysis of data, especially time series.   They should have knowledge of basic statistical concepts and regression analysis.

Course Coverage

Introduction to Statistical Modeling of Time Series
Descriptive Analysis of Time Series
Classical Time Series
Introduction to Seasonal Adjustment
Introduction to ARIMA Modeling
The ARIMA Models
Forecasting Using ARIMA
Introduction to Classical Linear Regression
Introduction to Regression
Linear Regression Model with Autocorrelated Errors

Course Duration: 36 hours/5 days

Registration:

To register and further inquiry, please contact the Training Division at Telefax Nos. (632) 436-1426/9297543 or email it to japebenito@srtc.gov.ph or cemojica@srtc.gov.ph.

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