VIAF

Virtual International Authority File

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Leader 00000nz a2200037n 45 0
001 LC|no2020072479 (VIAF cluster) (Authority/Source Record)
005 20200615054419.0
008 200612n| azannaabn |n aaa c
003 LC
035 ‎‡a (LC)11375169‏
010 ‎‡a no2020072479‏
035 ‎‡a (OCoLC)oca13003680‏
035 ‎‡a (DLC)11377700‏
035 ‎‡a (DLC)no2020072479‏
040 ‎‡a NjP‏ ‎‡b eng‏ ‎‡e rda‏ ‎‡c NjP‏
100 1 ‎‡a Uribe, Jorge M.‏
373 ‎‡a Universitat Oberta de Catalunya‏ ‎‡2 naf‏
377 ‎‡a eng‏
670 ‎‡a Uribe, Jorge M. Quantile regression for cross-sectional and time series data, 2020:‏ ‎‡b title page (Jorge M. Uribe) title page verso (Faculty of Economics and Business, Open University of Catalonia, Barcelona, Spain)‏
919 ‎‡a quantileregressionforcrosssectionalandtimeseriesdata‏ ‎‡A Quantile regression for cross-sectional and time series data, 2020:‏ ‎‡9 1‏
943 ‎‡a 202x‏ ‎‡A 2020‏ ‎‡9 1‏
948 ‎‡a eng‏ ‎‡9 1‏
996 ‎‡2 WKP|Q5545406
996 ‎‡2 DNB|1026850886
996 ‎‡2 ISNI|0000000362341911
996 ‎‡2 BNE|XX1108152
996 ‎‡2 SUDOC|165825006
996 ‎‡2 BNF|16614164
996 ‎‡2 NTA|262202379
996 ‎‡2 SUDOC|121810089
996 ‎‡2 WKP|Q5936180
996 ‎‡2 BNCHL|10000000000000000172405
996 ‎‡2 BNC|981058612469106706
996 ‎‡2 WKP|Q6277626
996 ‎‡2 ISNI|0000000382299386
996 ‎‡2 WKP|Q5935279
996 ‎‡2 SUDOC|078193346
996 ‎‡2 ARBABN|000052143
996 ‎‡2 DNB|1057132020
996 ‎‡2 ISNI|0000000358453806
996 ‎‡2 ISNI|0000000068485762
996 ‎‡2 BNCHL|10000000000000000151076
996 ‎‡2 WKP|Q93043531
996 ‎‡2 PTBNP|1465279
996 ‎‡2 WKP|Q28503540
996 ‎‡2 ISNI|0000000032138080
996 ‎‡2 BNE|XX1172710
996 ‎‡2 J9U|987012502221205171
996 ‎‡2 BNCHL|10000000000000000071145
996 ‎‡2 NUKAT|n 2015227280
997 ‎‡a 0 0 lived 0 0‏ ‎‡9 1‏
998 ‎‡a Uribe, Jorge M.‏ ‎‡2 J9U|987012502221205171‏ ‎‡3 lccn:no2020-72479‏ ‎‡3 viafid‏
998 ‎‡a Uribe, Jorge‏ ‎‡2 SZ|1026850886‏ ‎‡3 title: (0.88, 'quantileregressionforcrosssectionalandtimeseriesdata', 'quantileregressionforcrosssectionalandtimeseriesdataapplicationsinenergymarketsusingr')‏
998 ‎‡a Uribe, Jorge M.‏ ‎‡2 NUKAT|n 2020026231‏ ‎‡3 title: (0.88, 'quantileregressionforcrosssectionalandtimeseriesdata', 'quantileregressionforcrosssectionalandtimeseriesdataapplicationsinenergymarketsusingr')‏ ‎‡3 viafid‏