Table 10 Production by FVAR-FTrN.

From: Enhanced forecasting of rice price and production in Malaysia using novel multivariate fuzzy time series models

Mean dependent var

5.118687

S.D. dependent var

3.098214

Sum square resid

218.0959

S.E. of regression

3.079356

R-square

0.516577

Adjusted R-square

0.712136

F(24, 23)

0.024059

P-value(F)

0.008447

MAPE

0.121739

Durbin-Watson

1.130209

  1. F-tests of zero restrictions:
  2. \({\text{All lags of TrPd F}}\left( {{\text{12}},{\text{ 23}}} \right)\,=\,{\text{1}}.{\text{6512 }}\left[ {0.{\text{1456}}} \right].\)\({\text{All lags of TrPr F}}\left( {{\text{12}},{\text{ 23}}} \right)\,=\,0.{\text{99823 }}\left[ {0.{\text{48}}0{\text{2}}} \right].\)\({\text{All vars, lag 12 F}}\left( {{\text{2, 23}}} \right)\,{\text{ = }}\,{\text{0}}{\text{.0322 }}\left[ {{\text{0}}{\text{.0315}}} \right].\).
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