ments of the matrix A − $^{1}$. Then the polynomial P ¯ $_{θ}$( θ ) becomes where the coefficients ¯ P ( i$_{1}$, ..., i$_{p}$, ¯ θ, A ) = ∑ i ′ $_{1}$+ ... + i ′ $_{p}$= k i$_{v}$ ≤ i ′ v ¯ A$_{i}$ ′ $_{1}$,...,i ′ $_{p}$( i$_{1}$, ..., i$_{p}$, A ) ¯ P ( i $^{′}$$_{1}$, ..., i′ $_{p}$, ¯ θ ) . For estimator ˆ θ$_{T}$ of ¯ θ define estimators of the coefficients ¯ P ( i$_{1}$, ..., i$_{k}$, ¯ θ ) by for 0 < δ < 1 and some c > 0 . If A = I, no further estimation is required. For A = V − 1 2 and an estimator ˆ V$_{T}$ of V estimate ¯ A$_{i}$ ′ $_{1}$,...,i ′ $_{p}$( i$_{1}$, ..., i$_{p}$, V − 1 2 ) by ˆ A$_{i}$ ′ $_{1}$,...,i ′ $_{p}$( i$_{1}$, ..., i$_{p}$, V − 1 2 ) = ¯ A$_{i}$ ′ $_{1}$,...,i ′ $_{p}$( i$_{1}$, ..., i$_{p}$, ˆ V − 1 2 T ) . Combining according to (29) we can obtain the estimator ˆ P ( i$_{1}$, ..., i$_{p}$, ¯ θ, A ) of ¯ P ( i$_{1}$, ..., i$_{p}$, ¯ θ, A ) . 35 ˆ P ( i$_{1}$, ..., i$_{p}$, ¯ θ ) =     ¯ P ( i$_{1}$, ..., i$_{p}$, ˆ θ$_{T}$ ) if ∣ ¯ P ( i$_{1}$, ..., i$_{p}$, ˆ θ$_{T}$ )∣ ∣ ≥ c λ δ T ; 0 if ∣ ¯ P i$_{1}$, ..., i$_{p}$, ˆ θ$_{T}$ < c λ δ T (30) P ¯ $_{θ}$( y ) = ¯ P ( 0 , ..., 0 , ¯ θ ) + m$_{P}$ ∑ k =1    ∑ i$_{1}$ + ... + i$_{p}$ = k ¯ P ( i$_{1}$, ..., i$_{p}$, ¯ θ ) ∑ i ′ $_{1}$+ ... + i ′ $_{p}$= k 1 ≤ i ′ $_{v}$≤ i$_{v}$ ¯ A$_{i}$$_{1}$$_{,...,i}$$_{p}$ ( i $^{′}$$_{1}$, ..., i′ $_{p}$, A ) y i ′ 1 ...y i ′ p   $^{(28)}$ = ¯ P ( 0 , ..., 0 , ¯ θ ) + m$_{P}$ ∑ k =1 P$_{k}$ ( y ) (29) = ¯ P ( 0 , ..., 0 , ¯ θ ) + m$_{P}$ ∑ k $_{=1}$   ∑ i ′ $_{1}$+ ... + i ′ $_{p}$= k    ∑ i$_{1}$ + ... + i$_{p}$ = k i ′ $_{v}$≤ i$_{v}$ ¯ A$_{i}$$_{1}$$_{,...,i}$$_{p}$ ( i $^{′}$$_{1}$, ..., i′ $_{p}$, A ) ¯ P ( i$_{1}$, ..., i$_{p}$, ¯ θ )    y i ′ 1 ...y i ′ p    = ¯ P ( 0 , ..., 0 , ¯ θ ) + m$_{P}$ ∑ k =1 [ ∑ i$_{1}$ + ... + i$_{p}$ = k ¯ P ( i$_{1}$, ..., i$_{p}$, ¯ θ, A ) y i$_{1}$ 1 ...y i$_{p}$ p ] ,