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Table 2 Comparison of predictive accuracy of three models across years for each country using multivariate Diebold-Mariano (DM) test

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

Country

Null Hypothesis

Test Statistic Value

P-Value

Decision

China

H0: SLC=FDM = BMS

OR

H0: All model hold Equal predictive accuracy

− 1796.2

0.000

H0 is rejected

Pakistan

−20.151

0.000

H0 is rejected

India

−24.314

0.000

H0 is rejected

Thailand

−3.9457

0.000

H0 is rejected

  1. Predictive period, 1990–2010