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Table 2 Statistical indices for the stochastic-based linear modeling

From: A continuous data driven translational model to evaluate effectiveness of population-level health interventions: case study, smoking ban in public places on hospital admissions for acute coronary events

Superior models   R% SI% MAPE% RMSRE% ENS AICC
ARMA (7,5) Train 77.95 4.94 4.16 4.84 0.61 269.04
Test 81.87 3.46 2.89 3.54 0.66 −15.84
ARIMA (9,1,4) Train 78.60 4.89 3.75 4.78 0.61 271.71
Test 73.74 4.21 2.89 4.37 0.50 −5.55
  1. ARMA (7,5) auto-regressive moving average for seven non-seasonal auto-regressive parameters and five non-seasonal moving average parameters, ARIMA (9,1,4) auto-regressive integrated moving average for nine non-seasonal auto-regressive parameters, one non-seasonal differencing and four non-seasonal moving average parameters, R correlation coefficient, SI Scatter index, MAPE mean absolute percentage error, RSMRE root mean square relative error, EN-S Nash–Sutcliffe model efficiency, AICC Akaike information criterion