A New Improved Parsimonious Multivariate Markov Chain Model

Table 2

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

	𝛽=0.7	𝛽=0.8	𝛽=0.9	𝛽=1	𝛽=1.1	𝛽=1.2
IPM2 when 𝛾=1	8.9588	9.1114	9.0964	9.0894	9.0860	9.0778
IPM2 when 𝛾=1.5	8.8126	8.8788	9.0326	9.1028	9.0904	9.0832
IPM2 when 𝛾=2	8.9746	8.8142	8.8544	8.9447	9.0892	9.0974
IPM2 when 𝛾=2.5	8.6957	8.9355	8.8167	8.8449	8.9054	9.0014
IPM2 when 𝛾=3	8.9006	8.6790	8.7050	8.8189	8.8410	8.8849
IPM2 when 𝛾=3.5	9.4994	8.7730	8.6838	8.7168	8.8209	8.8393
IPM2 when 𝛾=4	9.1024*	9.1909	8.7041	8.6911	8.7275	8.8228
IPM2 when 𝛾=4.5	9.3544*	9.5649*	9.0116	8.6994	8.6993	8.7371
IPM2 when 𝛾=5	12.3474*	9.0286*	9.3882	8.8994	8.7029	8.7076
IPM2 when 𝛾=5.5	13.5788*	9.4195*	9.4562*	9.1952	8.8252	8.7046