A New Improved Parsimonious Multivariate Markov Chain Model

Table 1

Prediction errors of the new improved parsimonious multivariate Markov chain model with original convergence condition in Example  2.

	𝛽=0.7	𝛽=0.8	𝛽=0.9	𝛽=1	𝛽=1.1	𝛽=1.2
IPM1 when 𝛼=0.1	31.1845*	31.0831*	29.8349*	29.8349*	31.0906*	31.0853*
IPM1 when 𝛼=0.2	27.0472*	26.9434*	26.8745*	26.8745*	26.9486*	26.8462*
IPM1 when 𝛼=0.3	22.8309*	22.7298*	22.7296*	22.7302*	22.7321*	22.7310*
IPM1 when 𝛼=0.4	18.6215*	18.5266*	18.5256*	18.5256*	18.5282*	18.5211*
IPM1 when 𝛼=0.5	14.3298*	14.2594*	14.2614*	14.2614*	14.2586*	14.2705*
IPM1 when 𝛼=0.6	10.4531*	10.2961*	10.3231*	10.2962*	10.2795*	10.2971*
IPM1 when 𝛼=0.7	9.9017	9.8994	9.8872	9.8879	9.8896	9.8552
IPM1 when 𝛼=0.8	10.1173	10.1440	10.1255	10.1271	10.1283	10.0536
IPM1 when 𝛼=0.9	10.3910	10.4131	10.3945	10.3886	10.3803	10.2726
IPM1 when 𝛼=1	10.4059	10.4268	10.4059	10.4059	10.4059	10.2590