How to Make Prediction More Accurate—Using Seasonal ARIMA for Aftermarket Failure Prediction_Du Xuhui, Ke Shida
Speakers: Du Xuhui, Senior Engineer of KOSTAL Quality Department
the speech topic : How to Make Predictions More Accurate - Using Seasonal ARIMA for Aftermarket Failure Prediction
Summary of speech:
Du Xuhui is currently a senior engineer and internal trainer at KSTAR Asia Headquarters, a TUV registered Six Sigma black belt, and has 12 years of experience in quality statistics and forecasting in the automotive industry. This presentation will start with the introduction of time series, how to choose a model for predictive analysis, and demonstrate the practical application based on JMP seasonal ARIMA.
This presentation will start with the introduction of time series, how to choose a model for predictive analysis, and demonstrate the practical application based on JMP seasonal ARIMA.
Data ExplorationPredictive ModelingTutorialvideo
