• Tidak ada hasil yang ditemukan

Hasil AR-MA-ARMA

N/A
N/A
Purwanto

Academic year: 2023

Membagikan "Hasil AR-MA-ARMA"

Copied!
5
0
0

Teks penuh

(1)

Model AR

Dependent Variable: RBDMN

Method: ARMA Maximum Likelihood (OPG - BHHH) Date: 03/25/20 Time: 16:29

Sample: 2 4263

Included observations: 4087

Failure to improve objective (non-zero gradients) after 34 iterations Coefficient covariance computed using outer product of gradients

Variable Coefficient Std. Error t-Statistic Prob.

AR(1) 1.035801 0.001508 686.8363 0.0000

AR(3) -0.053993 0.015924 -3.390575 0.0007

AR(4) 0.042902 0.013428 3.195031 0.0014

AR(7) 0.066572 0.012607 5.280486 0.0000

AR(11) -0.035102 0.013176 -2.664109 0.0077

AR(12) 0.059794 0.017975 3.326530 0.0009

AR(8) -0.028977 0.012875 -2.250597 0.0245

AR(2) -0.054873 0.011223 -4.889269 0.0000

AR(32) -0.034311 0.008504 -4.034712 0.0001

AR(35) 0.047639 0.008978 5.306363 0.0000

AR(13) -0.032086 0.013452 -2.385169 0.0171

AR(26) 0.014366 0.006001 2.393878 0.0167

AR(38) -0.027778 0.006862 -4.048005 0.0001

SIGMASQ 15523790 199469.7 77.82529 0.0000

R-squared 0.999566 Mean dependent var 346753.6

Adjusted R-squared 0.999564 S.D. dependent var 189059.6 S.E. of regression 3946.790 Akaike info criterion 19.42614 Sum squared resid 6.34E+10 Schwarz criterion 19.44777 Log likelihood -39683.32 Hannan-Quinn criter. 19.43380 Durbin-Watson stat 1.980040

Inverted AR Roots 1.00 .93 .90-.17i .90+.17i .85+.30i .85-.30i .82+.45i .82-.45i .73-.60i .73+.60i .61-.72i .61+.72i .48+.81i .48-.81i .32+.87i .32-.87i .15-.91i .15+.91i -.01+.91i -.01-.91i -.15+.86i -.15-.86i -.28-.83i -.28+.83i -.40+.77i -.40-.77i -.51-.70i -.51+.70i -.62+.60i -.62-.60i -.73-.51i -.73+.51i -.82+.40i -.82-.40i -.88+.24i -.88-.24i -.92+.08i -.92-.08i

Model MA

Dependent Variable: RBDMN

Method: ARMA Maximum Likelihood (OPG - BHHH) Date: 03/25/20 Time: 16:46

Sample: 2 4263

Included observations: 4087

Convergence achieved after 37 iterations

Coefficient covariance computed using outer product of gradients

Variable Coefficient Std. Error t-Statistic Prob.

(2)

AR(1) 1.899279 0.023464 80.94544 0.0000

AR(2) -1.304518 0.022780 -57.26522 0.0000

AR(3) 0.405213 0.001679 241.3207 0.0000

MA(1) -0.847637 0.029645 -28.59323 0.0000

MA(2) 0.324015 0.010983 29.50163 0.0000

MA(7) 0.067564 0.014417 4.686503 0.0000

MA(8) -0.028116 0.012052 -2.332845 0.0197

MA(6) -0.044873 0.011891 -3.773697 0.0002

MA(26) 0.035003 0.008996 3.890723 0.0001

MA(35) 0.040716 0.008823 4.614652 0.0000

SIGMASQ 15556312 199151.4 78.11300 0.0000

R-squared 0.999565 Mean dependent var 346753.6

Adjusted R-squared 0.999564 S.D. dependent var 189059.6 S.E. of regression 3949.468 Akaike info criterion 19.42687 Sum squared resid 6.36E+10 Schwarz criterion 19.44387 Log likelihood -39687.81 Hannan-Quinn criter. 19.43289 Durbin-Watson stat 2.013634

Inverted AR Roots 1.00 .45-.45i .45+.45i

Inverted MA Roots .94-.09i .94+.09i .89+.25i .89-.25i .84-.39i .84+.39i .77+.54i .77-.54i .66-.67i .66+.67i .52-.76i .52+.76i .39+.83i .39-.83i .24+.90i .24-.90i .06+.91i .06-.91i -.10-.89i -.10+.89i -.25-.86i -.25+.86i -.41+.81i -.41-.81i -.55+.71i -.55-.71i -.66+.59i -.66-.59i -.75+.47i -.75-.47i -.84+.32i -.84-.32i -.88+.15i -.88-.15i -.89

Date: 03/25/20 Time: 16:45 Sample: 1 4263

Included observations: 4087

Q-statistic probabilities adjusted for 10 ARMA terms

Autocorrelation Partial Correlation AC PAC Q-Stat Prob | | | | 1 -0.005 -0.005 0.1169 | | | | 2 0.020 0.020 1.7830 | | | | 3 -0.024 -0.024 4.0871 | | | | 4 -0.008 -0.009 4.3509 | | | | 5 -0.000 0.001 4.3512 | | | | 6 -0.006 -0.006 4.4911 | | | | 7 0.002 0.001 4.5006 | | | | 8 -0.015 -0.015 5.4414 | | | | 9 0.006 0.006 5.6014 | | | | 10 0.018 0.019 6.9248

| | | | 11 -0.024 -0.025 9.2884 0.002 | | | | 12 0.029 0.028 12.833 0.002 | | | | 13 0.000 0.003 12.834 0.005 | | | | 14 0.006 0.004 12.989 0.011 | | | | 15 -0.016 -0.015 14.019 0.015 | | | | 16 0.016 0.017 15.113 0.019

(3)

| | | | 17 -0.005 -0.004 15.221 0.033 | | | | 18 -0.007 -0.008 15.428 0.051 | | | | 19 0.000 0.000 15.429 0.080 | | | | 20 0.011 0.012 15.917 0.102 | | | | 21 0.002 0.002 15.926 0.144 | | | | 22 -0.027 -0.029 18.949 0.090 | | | | 23 -0.003 -0.002 18.991 0.123 | | | | 24 -0.006 -0.005 19.154 0.159 | | | | 25 0.016 0.015 20.254 0.162 | | | | 26 0.020 0.019 21.982 0.144 | | | | 27 -0.021 -0.020 23.761 0.126 | | | | 28 0.007 0.006 23.980 0.156 | | | | 29 -0.012 -0.010 24.538 0.176 | | | | 30 0.009 0.007 24.864 0.207 | | | | 31 0.002 0.004 24.876 0.253 | | | | 32 -0.025 -0.025 27.379 0.197 | | | | 33 -0.044 -0.046 35.522 0.046 | | | | 34 -0.001 0.002 35.529 0.061 | | | | 35 0.016 0.015 36.571 0.063 | | | | 36 -0.013 -0.015 37.311 0.070

Model ARMA

Dependent Variable: RBDMN

Method: ARMA Maximum Likelihood (OPG - BHHH) Date: 03/25/20 Time: 16:55

Sample: 2 4263

Included observations: 4087

Failure to improve objective (non-zero gradients) after 22 iterations Coefficient covariance computed using outer product of gradients

Variable Coefficient Std. Error t-Statistic Prob.

AR(1) 0.978773 0.010006 97.82254 0.0000

AR(6) -0.227714 0.040285 -5.652549 0.0000

AR(7) 0.248888 0.035215 7.067630 0.0000

MA(1) 0.060356 0.013300 4.538187 0.0000

MA(3) -0.046225 0.012637 -3.657901 0.0003

MA(6) 0.201129 0.032702 6.150433 0.0000

MA(7) 0.042291 0.011009 3.841592 0.0001

MA(35) 0.057989 0.012564 4.615427 0.0000

MA(33) -0.049733 0.012922 -3.848781 0.0001

SIGMASQ 15542587 189746.7 81.91229 0.0000

R-squared 0.999565 Mean dependent var 346753.6

Adjusted R-squared 0.999564 S.D. dependent var 189059.6 S.E. of regression 3947.241 Akaike info criterion 19.42554 Sum squared resid 6.35E+10 Schwarz criterion 19.44100 Log likelihood -39686.10 Hannan-Quinn criter. 19.43102 Durbin-Watson stat 1.986815

Inverted AR Roots 1.00 .68-.42i .68+.42i -.01+.79i -.01-.79i -.68+.39i -.68-.39i

Inverted MA Roots .88-.08i .88+.08i .87+.23i .87-.23i .84-.39i .84+.39i .77+.52i .77-.52i .66+.65i .66-.65i .52-.76i .52+.76i

(4)

.37-.85i .37+.85i .20+.91i .20-.91i .04-.94i .04+.94i -.13+.93i -.13-.93i -.29+.89i -.29-.89i -.45+.81i -.45-.81i -.60-.71i -.60+.71i -.72+.59i -.72-.59i -.81-.46i -.81+.46i -.86+.31i -.86-.31i -.88-.15i -.88+.15i -.89

Date: 03/25/20 Time: 16:54 Sample: 1 4263

Included observations: 4087

Q-statistic probabilities adjusted for 9 ARMA terms

Autocorrelation Partial Correlation AC PAC Q-Stat Prob | | | | 1 0.008 0.008 0.2416 | | | | 2 0.008 0.008 0.4826 | | | | 3 -0.008 -0.008 0.7221 | | | | 4 -0.023 -0.023 2.9667 | | | | 5 0.008 0.008 3.2238 | | | | 6 0.000 0.001 3.2246 | | | | 7 0.001 0.000 3.2285 | | | | 8 -0.003 -0.003 3.2602 | | | | 9 -0.006 -0.006 3.4268

| | | | 10 0.009 0.009 3.7283 0.053 | | | | 11 -0.033 -0.033 8.1763 0.017 | | | | 12 0.015 0.015 9.0618 0.028 | | | | 13 0.012 0.013 9.7008 0.046 | | | | 14 0.007 0.006 9.8852 0.079 | | | | 15 -0.011 -0.013 10.415 0.108 | | | | 16 0.016 0.018 11.485 0.119 | | | | 17 -0.003 -0.003 11.528 0.174 | | | | 18 -0.003 -0.003 11.566 0.239 | | | | 19 -0.004 -0.004 11.617 0.312 | | | | 20 0.013 0.014 12.306 0.341 | | | | 21 0.003 0.004 12.355 0.418 | | | | 22 -0.028 -0.029 15.511 0.277 | | | | 23 -0.003 -0.001 15.538 0.342 | | | | 24 -0.007 -0.005 15.747 0.399 | | | | 25 0.017 0.017 16.955 0.388 | | | | 26 0.054 0.051 28.850 0.036 | | | | 27 0.009 0.009 29.166 0.046 | | | | 28 0.022 0.021 31.111 0.039 | | | | 29 -0.011 -0.010 31.577 0.048 | | | | 30 0.004 0.006 31.652 0.063 | | | | 31 0.003 0.004 31.691 0.083 | | | | 32 -0.027 -0.027 34.710 0.056 | | | | 33 -0.002 -0.004 34.724 0.073 | | | | 34 -0.003 -0.001 34.769 0.092 | | | | 35 0.001 0.002 34.778 0.117 | | | | 36 0.024 0.024 37.218 0.091

(5)

Referensi

Dokumen terkait

Dengan ini diberitahukan bahwa setelah diadakan penelitian oleh Panitia berdasarkan pada ketentuan-ketentuan yang berlaku serta berdasarkan Penetapan Pemenang Seleksi

This section described the obtained data of the difference in the english vocabulary mastery by Eleventh Graders of Social Science Class and Natural Science Class at

Erectile dysfunction can severely impact one’s life and we understand why this issue is important to you. Here you will find top quality advice and direction to choosing a product

Asri Pancari, Op.cit , Hlm.. pelayanan publik semakin meningkat dan diperkirakan tingkat penilaian atau pengaduan masyarakat atau publik terhadap kualitas layanan

Dari semua bahan baku tersebut kami menawarkan bioetanol berbahan dasar limbah buah sebagai solusi terbaik karena nilai jual limbah buah yang relatif sangat

Mungkin yg anda maksud adalah Tasyahhud, secara bahasa adalah mengucapkan syahadat, secara syar’an adalah terbagi dua, Tasyahhud awwal dan Tasyahhud Akhir, tasyahhud awal

 Importir : Pengusaha yang dapat melakukan kegiatan perdagangan dengan cara memasukan barang dari luar negri ke dalam wilayah pabean Indonesia sesuai ketentuan yang

Bukhari