This course will teach you how to do estimation calibration through Structured Expert Judgment to make your forecasts more reliable by calculating and analyzing calibration and information scores.
This course will teach you how to do estimation calibration through Structured Expert Judgment to make your forecasts more reliable by calculating and analyzing calibration and information scores.
Managers and subject matter experts (SMEs) are faced with many challenges particularly in making reliable forecasts with minimal forecasting errors. In this course, Estimation Calibration: Make Your Forecasts More Reliable, you’ll learn to implement estimation calibration through the Structured Expert Judgment (SEJ) method by calculating calibration and information scores. First, you’ll learn what a calibration score is, and how to calculate it. Next, you’ll discover what an information score is, how it's different from the calibration score, and how to calculate it. Finally, you’ll learn how to analyze both calibration score and information score obtained from the calculation to evaluate the assessments made by experts. When you’re finished with this course, you’ll have the skills and knowledge of calculating calibration and information score under Structured Expert Judgment (SEJ) which is needed to make your forecasts more reliable through estimation calibration.
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.