Research Article

Best Lag Window for Spectrum Estimation of Law Order MA Process

Table 11

MSE values of MA(2) spectrum estimation with size (n = 500).

WindowsDifferent values of parameters
 = 1 = −1 = 0.5 = −0.5 = 0.5 = 0.5 = 1 = −1.5
 = −1 = 1 = 0.5 = −0.5 = −0.5 = 1 = −0.5 = 1

Rectangular6.3215650246.3215650246.3601382646.3160641396.3270683046.3619780116.3325739786.317034709
Triangular6.3176472666.31795666.3315173246.315881796.3193284836.3320505396.3213012526.316365871
Hanning6.3242508226.3242654616.382065136.3160919456.3327038456.3848726566.3408706456.317506423
Hamming6.319095056.3190816146.3400312936.3160385576.3218878666.3409857196.3249503716.316600764
Blackman6.314556886.3145008796.3022564666.3159827186.3125781326.3019118876.3109927966.315763958
Blackman–Harris6.323487366.3234941636.3756758736.3160828456.3311319886.3782626696.3385260066.317365882
Flat top6.3227189126.3227164386.3692931836.3160752536.3295179976.3716480596.3362133286.317227254
Exponential6.3248402456.3244078416.3824963766.3161636996.3333495266.3854289996.3416648766.317538431
Gaussian6.318331746.318441596.3349391466.3160123616.3204771916.3357682836.3228932366.316483275
Welch(Riesz)6.3175054766.317972866.3319599956.3159525976.3191757216.3323877036.3211591046.316401338
Cosine6.3215650246.3215650246.3601382646.3160641396.3270683046.3619780116.3325739786.317034709
Parzen6.3280479066.3258324286.3923715936.3164756256.3375320966.3955299556.3474641056.317834331
Bohman6.3176080826.3178124196.3297537046.3159894516.3191445916.3306481376.3209060566.316364675
Poisson6.3179367856.3181812616.33318466.31579866.3199167726.3339170986.3221150396.316370761
Hanning–Poisson6.3173679256.3175915716.3282780666.315793346.3187336546.3289048176.3203288486.316263887
Cauchy6.3208398396.3209048026.3549217076.3160471546.3256304996.3564919566.3304897756.31691898
Bartlett–Hanning6.3234693496.323508866.3759662846.3160796276.3311014696.3784967666.3385273266.317373725
Min-MSEBlackmanBlackmanBlackmanHanning–PoissonBlackmanBlackmanBlackmanBlackman