Recurrence quantification analysis of business cycles
• Recurrence quantification analysis (RQA) first time applied to a comprehensive set of macroeconomic data. • RQA suits to study business cycles and could be used for early detection of recessions. • RQA is able to distinguish between macroeconomic variables. • RQA confirms that different paths in e...
Ausführliche Beschreibung
Autor*in: |
Orlando, Giuseppe [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2018 |
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Umfang: |
13 |
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Übergeordnetes Werk: |
Enthalten in: Extensive study of newly developed highly dense transparent PbO-WO - Sayyed, M.I. ELSEVIER, 2019, applications in science and engineering, Amsterdam [u.a.] |
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Übergeordnetes Werk: |
volume:110 ; year:2018 ; pages:82-94 ; extent:13 |
Links: |
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DOI / URN: |
10.1016/j.chaos.2018.02.032 |
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Katalog-ID: |
ELV042842824 |
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10.1016/j.chaos.2018.02.032 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001227.pica (DE-627)ELV042842824 (ELSEVIER)S0960-0779(18)30092-4 DE-627 ger DE-627 rakwb eng 660 670 VZ 51.45 bkl 51.60 bkl 33.61 bkl 35.90 bkl Orlando, Giuseppe verfasserin aut Recurrence quantification analysis of business cycles 2018 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Recurrence quantification analysis (RQA) first time applied to a comprehensive set of macroeconomic data. • RQA suits to study business cycles and could be used for early detection of recessions. • RQA is able to distinguish between macroeconomic variables. • RQA confirms that different paths in economy do not depend on structural differences (which is an indication of chaos). Zimatore, Giovanna oth Enthalten in Elsevier Science Sayyed, M.I. ELSEVIER Extensive study of newly developed highly dense transparent PbO-WO 2019 applications in science and engineering Amsterdam [u.a.] (DE-627)ELV002724685 volume:110 year:2018 pages:82-94 extent:13 https://doi.org/10.1016/j.chaos.2018.02.032 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 51.45 Werkstoffe mit besonderen Eigenschaften VZ 51.60 Keramische Werkstoffe Hartstoffe Werkstoffkunde VZ 33.61 Festkörperphysik VZ 35.90 Festkörperchemie VZ AR 110 2018 82-94 13 |
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10.1016/j.chaos.2018.02.032 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001227.pica (DE-627)ELV042842824 (ELSEVIER)S0960-0779(18)30092-4 DE-627 ger DE-627 rakwb eng 660 670 VZ 51.45 bkl 51.60 bkl 33.61 bkl 35.90 bkl Orlando, Giuseppe verfasserin aut Recurrence quantification analysis of business cycles 2018 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Recurrence quantification analysis (RQA) first time applied to a comprehensive set of macroeconomic data. • RQA suits to study business cycles and could be used for early detection of recessions. • RQA is able to distinguish between macroeconomic variables. • RQA confirms that different paths in economy do not depend on structural differences (which is an indication of chaos). Zimatore, Giovanna oth Enthalten in Elsevier Science Sayyed, M.I. ELSEVIER Extensive study of newly developed highly dense transparent PbO-WO 2019 applications in science and engineering Amsterdam [u.a.] (DE-627)ELV002724685 volume:110 year:2018 pages:82-94 extent:13 https://doi.org/10.1016/j.chaos.2018.02.032 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 51.45 Werkstoffe mit besonderen Eigenschaften VZ 51.60 Keramische Werkstoffe Hartstoffe Werkstoffkunde VZ 33.61 Festkörperphysik VZ 35.90 Festkörperchemie VZ AR 110 2018 82-94 13 |
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10.1016/j.chaos.2018.02.032 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001227.pica (DE-627)ELV042842824 (ELSEVIER)S0960-0779(18)30092-4 DE-627 ger DE-627 rakwb eng 660 670 VZ 51.45 bkl 51.60 bkl 33.61 bkl 35.90 bkl Orlando, Giuseppe verfasserin aut Recurrence quantification analysis of business cycles 2018 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Recurrence quantification analysis (RQA) first time applied to a comprehensive set of macroeconomic data. • RQA suits to study business cycles and could be used for early detection of recessions. • RQA is able to distinguish between macroeconomic variables. • RQA confirms that different paths in economy do not depend on structural differences (which is an indication of chaos). Zimatore, Giovanna oth Enthalten in Elsevier Science Sayyed, M.I. ELSEVIER Extensive study of newly developed highly dense transparent PbO-WO 2019 applications in science and engineering Amsterdam [u.a.] (DE-627)ELV002724685 volume:110 year:2018 pages:82-94 extent:13 https://doi.org/10.1016/j.chaos.2018.02.032 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 51.45 Werkstoffe mit besonderen Eigenschaften VZ 51.60 Keramische Werkstoffe Hartstoffe Werkstoffkunde VZ 33.61 Festkörperphysik VZ 35.90 Festkörperchemie VZ AR 110 2018 82-94 13 |
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• Recurrence quantification analysis (RQA) first time applied to a comprehensive set of macroeconomic data. • RQA suits to study business cycles and could be used for early detection of recessions. • RQA is able to distinguish between macroeconomic variables. • RQA confirms that different paths in economy do not depend on structural differences (which is an indication of chaos). |
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• Recurrence quantification analysis (RQA) first time applied to a comprehensive set of macroeconomic data. • RQA suits to study business cycles and could be used for early detection of recessions. • RQA is able to distinguish between macroeconomic variables. • RQA confirms that different paths in economy do not depend on structural differences (which is an indication of chaos). |
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• Recurrence quantification analysis (RQA) first time applied to a comprehensive set of macroeconomic data. • RQA suits to study business cycles and could be used for early detection of recessions. • RQA is able to distinguish between macroeconomic variables. • RQA confirms that different paths in economy do not depend on structural differences (which is an indication of chaos). |
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Recurrence quantification analysis of business cycles |
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