| Path |
Digest |
Size |
| PythonTsa/CheckStationarynInvertible.py |
sha256=7hXvWhTkOm0K3dFLMCQdcbyhecp3tVvRTLCY9Y29Ifk
|
1044 |
| PythonTsa/CointegrationTest.py |
sha256=329I4mHgEZDmEdello90detbkV9jHuxRI7tgtKeRYvE
|
18844 |
| PythonTsa/LjungBoxtest.py |
sha256=14XDpQsfYkD-QILotBU6MaloreUSwnprd0P27CccfB4
|
5378 |
| PythonTsa/ModResidDiag.py |
sha256=NeB35zY8aU4v2biCYaNOmulhpv7lENj1aXXe9E6H6v4
|
5221 |
| PythonTsa/MultiCorrPvalue.py |
sha256=oltmmaISpiFYOPRDN6yAAKfZgEvJNjEnx9QajWKCPr4
|
2107 |
| PythonTsa/RandomWalk.py |
sha256=5Mj9iiSoo-Cnh5TML2G8K0mfgwCQ4Xf7W1s6MJQGo-M
|
1337 |
| PythonTsa/SeasonalRW.py |
sha256=11dd1xsY4jxyH9cwYbCQ8i4PXCAsBNIVHFw3L8U1IOY
|
729 |
| PythonTsa/Selecting_arma.py |
sha256=wuhYx8oWpaBQ2bRbpzFq6d6ZlaB-LY7ckMERrprqftE
|
3480 |
| PythonTsa/Selecting_arma2.py |
sha256=x33yavKr5jE3nBoF8LhSWXoj-lM6_OvsIiqoS-k5qNA
|
3472 |
| PythonTsa/SimulSBM.py |
sha256=hOkp5RaAepGiSKxEi0b_ttcN3pE0qQYcIYS20SWb_F8
|
696 |
| PythonTsa/True_acf.py |
sha256=mH3WVoCSOF_8FeCw9ZVbak0VMmYR7RnwrWGAaCUm5zw
|
1266 |
| PythonTsa/TsTensor.py |
sha256=w-Lhw8sZb-lWQ0ZFBE1Q9AU0m5LCz8KENG8TrQYdPLM
|
4951 |
| PythonTsa/__init__.py |
sha256=E4mzTBdhfF_J-eYfpxL9p266GOT21FVqqvr6DARJwNo
|
23 |
| PythonTsa/datadir.py |
sha256=joAY91FulKj62XPM57OiLKF9Zp26Xjy_N3Yqu0YN0q0
|
344 |
| PythonTsa/plot_acf_pacf.py |
sha256=K4eW8tFea2M9Ztm39uJqPgubQs_j0BwHg-aYITOaNvs
|
1762 |
| PythonTsa/plot_multi_ACF.py |
sha256=P-clInPKu4VouCx72YOHtRiDeVX8S4oULG3VYx1WovM
|
2407 |
| PythonTsa/plot_multi_Q_pvalue.py |
sha256=IcHHVdVwPfiDZ-1xlao6wKBKNnMcNAGEo6kqzDwZqHI
|
2809 |
| PythonTsa/Ptsadata/AntidiabeticDrugSales.csv |
sha256=k2iujHcInxtuLjUYTFg-ojeDMfFDS0OyCsPc4ZkwX4A
|
2410 |
| PythonTsa/Ptsadata/AustraliaEmployedTotalPersons.xlsx |
sha256=0oRWh_ZS9fiwEaxm9yVDI8FkiHMyzOehwitZz5RzTD4
|
20870 |
| PythonTsa/Ptsadata/AustraliaUnemployedTotalPersons.xlsx |
sha256=mEzgkMKfqYNgHEb-s8ewuUhEsyiX-qRmFf-chH_plsg
|
20912 |
| PythonTsa/Ptsadata/BitcoinPrice17-6-23-18-6-22.xlsx |
sha256=mPmrTvgS6IwrRJfnhr_jZIJiq8kuS_RvWJgwiUiVlRI
|
31688 |
| PythonTsa/Ptsadata/DAX.csv |
sha256=MM8AXBdboxyDZ_t3LfU7IEmA18nciR3sawRGNz7rcEo
|
78650 |
| PythonTsa/Ptsadata/DAXlogret.csv |
sha256=r55yg7-WszK0pSvPpvNjEQsPz-B3XLtVFa1qP3s4MGY
|
27292 |
| PythonTsa/Ptsadata/EconGermany.dat |
sha256=_5MzoRIr6nr3-s2WvudmdDZGYRSIsAJVFOfLSNU3qi8
|
2619 |
| PythonTsa/Ptsadata/ExchRate NZ per UK.txt |
sha256=OA30yoIArYp3wXg5Qgchu51CHXabYXW17fY14nIS87g
|
309 |
| PythonTsa/Ptsadata/Global mean surface air temp changes 1880-1985.csv |
sha256=n2nwcI_TQNl7s3crmzI6WkMyXcmVRFUZ4Ku-XqIeGBY
|
699 |
| PythonTsa/Ptsadata/GlobalTemperature.txt |
sha256=mwJhq9LY0fty6rRXYlbmotWIyWEn6LFjcCCyXgSK3P4
|
12898 |
| PythonTsa/Ptsadata/IBM.csv |
sha256=-EAse2ZvvlsYbG2EzqNVOSPuyU8qdOlI26mgmUAzR5c
|
41626 |
| PythonTsa/Ptsadata/Noboyngirl.csv |
sha256=VD8sjjAfWd8Hl4gIqhcn6xuGEh0y2kx50jUE3I6MGdE
|
1584 |
| PythonTsa/Ptsadata/RwalkwDrift0.3.csv |
sha256=1d7VbJCbcBIkEVPMexqm6E2DZ3_ISn7jiqa-WWShKAw
|
3232 |
| PythonTsa/Ptsadata/SP500dailyreturns.csv |
sha256=esdl30jjrpqXBifNtWsL6kqdtgtUKbJlUJJo1dQz0I0
|
103980 |
| PythonTsa/Ptsadata/Southtemperature.txt |
sha256=77DZH7nSQPs9PRy9Q723R82GYoacPTwoE12XDH5d6-0
|
13709 |
| PythonTsa/Ptsadata/USEconomicChange.csv |
sha256=85gqgNeGk2Z5KhSDi18eBuATSb3Aw6rNZ2RTBEVzShU
|
11983 |
| PythonTsa/Ptsadata/USFemalesAged20+Job1948-81.csv |
sha256=owVpyqdlGgjNLgtUmwSQjqNEwOvhR5aerNxoMMaOw74
|
2306 |
| PythonTsa/Ptsadata/USQgdpunemp.csv |
sha256=uZiBhswgunQxlHYENVOzIwa0eHWnhjTSIeKfSG9WITc
|
6298 |
| PythonTsa/Ptsadata/USbill.csv |
sha256=m0gWrbBoDyMQnQWwzdD7Pyy5-Uk_G53xV5ZyoDxUGAw
|
7474 |
| PythonTsa/Ptsadata/USmacronInRate.txt |
sha256=_pci_eHtlAlViBi0vZk-BDtD6eFQSN5GqDVR71HI2RA
|
8788 |
| PythonTsa/Ptsadata/WTI-Brent.csv |
sha256=czKSRqMfFcku_Ik9C0zP3lsVUq385jmF3vMrlsRjoVM
|
5177 |
| PythonTsa/Ptsadata/Yearly mean total sunspot number 1700 - 2017.csv |
sha256=l6lvFDuiiA1RcyYyuP-vZqORZ2n1UXwvu7t7u9gdFmg
|
9222 |
| PythonTsa/Ptsadata/areturns.csv |
sha256=BIbGxhA65RJIBGmqVfM2h5eAipJW1gmK7tr9pB0UgEU
|
11404 |
| PythonTsa/Ptsadata/chaos.csv |
sha256=WdapvCfcc-n4f-67VbANzeSfAxFUjLU0QccJv28q2Pg
|
12071 |
| PythonTsa/Ptsadata/dlGDPukcaus1q1980.csv |
sha256=Kd2SbAHKLPHC-XoVXM9y09P2jDpCxLK9WLYC6nHOeLk
|
5820 |
| PythonTsa/Ptsadata/elec-temp.csv |
sha256=Q4HhJUgQSCH1NKLVzkunlCBbeJ1puamLGeC2Hj4G_4M
|
801310 |
| PythonTsa/Ptsadata/gdpquarterlychina1992.1-2017.4.csv |
sha256=Li_E6hjQX2c4Kk3f172fg2swjjISu_WADiki9CBUCI8
|
953 |
| PythonTsa/Ptsadata/h02July1991June2008.csv |
sha256=1OLkLkSOK1Y3PuMGo1lpOnPbL5duLqlUD1VjAWjbdcA
|
2322 |
| PythonTsa/Ptsadata/ibmlogret.csv |
sha256=-n4dfPexfVEOCU5tDqbV1FgOlGc8SNAZnDjipp7bs54
|
5442 |
| PythonTsa/Ptsadata/milk.xlsx |
sha256=8545ZdMqACp1D50YugGmZS8VIIjHu-xXQLyJ056le_g
|
9451 |
| PythonTsa/Ptsadata/monthly returns of PG stock 1961 to 2016.csv |
sha256=LosmcChmf9Mk0o6JrMKFC6qPgHmnTehGElhRGejkfs0
|
15759 |
| PythonTsa/Ptsadata/monthly returns of Procter n Gamble stock n 3 market indexes 1961 to 2016.csv |
sha256=C2OxYmyWizKNoUDl8fApf_afGIUlDyshSHqQaQtOHio
|
25624 |
| PythonTsa/Ptsadata/nao.csv |
sha256=Rj4ULACCxvsaGkNUaLc0-CKZKELaxuX-elKV21iKem4
|
11730 |
| PythonTsa/Ptsadata/realGdpConsInv.csv |
sha256=IxKMRypOpBlnTPzgI9ITMJxVAJ32y5auKTCF_jIRwKw
|
7405 |
| PythonTsa/Ptsadata/us-q-rgdp.csv |
sha256=NL30qZ5lkdIR3HLhqZbwh9yxzHO1E21t6nf0uVgH4zA
|
6055 |
| PythonTsa/Ptsadata/usFOI.csv |
sha256=byZRSPnk599eqWnuo-2lONvO_nnLE-z2J9KyaG_Kn-w
|
8492 |
| PythonTsa/Ptsadata/usGDPnotAdjust.csv |
sha256=LVX8mmEDZoQ35dHSgG0L6NchXFUu9LO770nUiKRljwg
|
6114 |
| PythonTsa-1.4.8.dist-info/METADATA |
sha256=DpFwjjpT4ApWpqUZ0hCALmoKvIEPjYeL3CMgehHmC_Q
|
740 |
| PythonTsa-1.4.8.dist-info/WHEEL |
sha256=Xo9-1PvkuimrydujYJAjF7pCkriuXBpUPEjma1nZyJ0
|
92 |
| PythonTsa-1.4.8.dist-info/top_level.txt |
sha256=iCSWYaQTwlSCwrOInjSrMBYGOGlyU8KHW3el0-Kq1Xs
|
10 |
| PythonTsa-1.4.8.dist-info/RECORD |
— |
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