An Examining from Data Sourced Deviations in Modelling by use of Variance Analysis Method
Makaleler > Tam Makale · 2016
Yazarlar: Kaya, Ahmet
\n Volume: 6, Issue: 2\n 177-186\n \n, Uluslararası, 2016
Özet
In this study, outliers which can cause bias on models in a survey stage usingobservation values which constitute basement for conducting modelling have beeninvestigated. The processes important for estimation observation, transform to data,modelling from data, and to gain information from models so important by oneself.One of the most important risks we encountered is transformation on data by naturelrandomness or derivation by people. If transformation on data is derived by naturelrandomness, solution is easy and has to compulsory ultimately. Causes for bias areappeared by time series (ARIMA-Auto Regressive Integrated Moving Average) models,detection, and detection causes on them are modelled by multi factored experimentaldesign with3 22 3and significance levels have been investigated.