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Table 1 Error measures from three fitted models individually for each country

From: A multi-country comparison of stochastic models of breast cancer mortality with P-splines smoothing approach

  Smoothed Lee Carter (SLC) Model
Average across ages ME MSE MPE MAPE
 China 0.000 0.0008 0.020 0.036
 Pakistan 0.000 0.0024 0.0004 0.016
 India 0.000 0.0007 0.0232 0.073
 Thailand 0.000 0.0023 0.0110 0.056
Average across years
 China 0.000 0.046 1.509 2.736
 Pakistan 0.000 0.134 0.018 0.794
 India 0.000 0.0418 1.7075 5.827
 Thailand 0.000 0.133 0.803 4.153
Average across ages Functional Demographic Model (FDM)
 China 0.000 0.0013 −0.029 0.065
 Pakistan −0.000 0.0004 0.001 0.008
 India 0.000 0.0003 0.0128 0.046
 Thailand −0.000 0.000 0.005 0.019
Average across years
 China −0.000 0.0700 −2.199 4.815
 Pakistan −0.000 0.026 0.0437 0.367
 India −0.000 0.016 0.939 3.575
 Thailand −0.000 0.015 0.378 1.359
Average across ages Booth-Maindonald-Smith (BMS) Model
 China −0.000 0.0014 0.033 0.054
 Pakistan 0.001 0.002 0.001 0.016
 India 0.000 0.001 0.022 0.075
 Thailand −0.000 0.006 0.032 0.141
Average across years
 China −0.007 0.084 2.466 4.109
 Pakistan 0.077 0.139 0.048 0.788
 India −0.000 0.045 1.675 5.909
 Thailand −0.004 0.362 2.348 10.701
  1. ME mean error, MSE mean square error; MPE mean percent error; MAPE mean absolute percent error
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BMC Medical Research Methodology

ISSN: 1471-2288

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