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Volumn 446, Issue , 2016, Pages 100-109

An analysis of the intrinsic cross-correlations between API and meteorological elements using DPCCA

Author keywords

API; Detrended partial cross correlation analysis (DPCCA); Intrinsic cross correlation; Meteorological elements

Indexed keywords

CORRELATION METHODS; TIME SERIES;

EID: 84949604585     PISSN: 03784371     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.physa.2015.11.024     Document Type: Article
Times cited : (22)

References (39)
  • 2
    • 79958718983 scopus 로고    scopus 로고
    • A chaotic analysis on air pollution index change over past 10 years in Lanzhou, northwest China
    • B. Yu, C.M. Huang, Z.H. Liu, H.P. Wang, and L.L. Wang A chaotic analysis on air pollution index change over past 10 years in Lanzhou, northwest China Stoch. Environ. Res. Risk Assess. 25 5 2011 643 653 10.1007/s00477-011-0471-y
    • (2011) Stoch. Environ. Res. Risk Assess. , vol.25 , Issue.5 , pp. 643-653
    • Yu, B.1    Huang, C.M.2    Liu, Z.H.3    Wang, H.P.4    Wang, L.L.5
  • 6
    • 84910661952 scopus 로고    scopus 로고
    • A detrended cross-correlation analysis of meteorological and API data in Nanjing, China
    • C.H. Shen, C.L. Li, and Y.L. Si A detrended cross-correlation analysis of meteorological and API data in Nanjing, China Physica A 419 1 2015 417 428
    • (2015) Physica A , vol.419 , Issue.1 , pp. 417-428
    • Shen, C.H.1    Li, C.L.2    Si, Y.L.3
  • 7
    • 40849127187 scopus 로고    scopus 로고
    • Detrended cross-correlation analysis: A new method for analyzing two nonstationary time series
    • B. Podobnik, and H.E. Stanley Detrended cross-correlation analysis: a new method for analyzing two nonstationary time series Phys. Rev. Lett. 100 8 2008 084102
    • (2008) Phys. Rev. Lett. , vol.100 , Issue.8
    • Podobnik, B.1    Stanley, H.E.2
  • 9
    • 84855315715 scopus 로고    scopus 로고
    • Statistical tests for power-law cross-correlated processes
    • B. Podobnik, Z.Q. Jiang, W.X. Zhou, and H.E. Stanley Statistical tests for power-law cross-correlated processes Phys. Rev. E 84 6 2011 066118
    • (2011) Phys. Rev. E , vol.84 , Issue.6
    • Podobnik, B.1    Jiang, Z.Q.2    Zhou, W.X.3    Stanley, H.E.4
  • 10
    • 84894589608 scopus 로고    scopus 로고
    • Measuring correlations between non-stationary series with DCCA coefficient
    • L. Kristoufek Measuring correlations between non-stationary series with DCCA coefficient Physica A 402 2014 291 298
    • (2014) Physica A , vol.402 , pp. 291-298
    • Kristoufek, L.1
  • 11
    • 76049101093 scopus 로고    scopus 로고
    • Cross-correlations between volume change and price change
    • B. Podobnik, D. Horvatic, A.M. Petersen, and H.E. Stanley Cross-correlations between volume change and price change Proc. Natl. Acad. Sci. 106 52 2009 22079 22084 10.1073/pnas.0911983106
    • (2009) Proc. Natl. Acad. Sci. , vol.106 , Issue.52 , pp. 22079-22084
    • Podobnik, B.1    Horvatic, D.2    Petersen, A.M.3    Stanley, H.E.4
  • 14
    • 84880689828 scopus 로고    scopus 로고
    • Multifractal detrended fluctuation analysis in examining scaling properties of the spatial patterns of soil water storage
    • A. Biswas, T.B. Zeleke, and B.C. Si Multifractal detrended fluctuation analysis in examining scaling properties of the spatial patterns of soil water storage Nonlinear Processes Geophys. 19 2012 227 238 10.5194/npg-19-227-2012
    • (2012) Nonlinear Processes Geophys. , vol.19 , pp. 227-238
    • Biswas, A.1    Zeleke, T.B.2    Si, B.C.3
  • 15
    • 84896972676 scopus 로고    scopus 로고
    • Detrended cross-correlation analysis consistently extended to multifractality
    • P. Os̈wiecimka, S. Drozdz, M. Forczek, S. Jadach, and J. Kwapień Detrended cross-correlation analysis consistently extended to multifractality Phys. Rev. E 89 2 2014 10.1103/PhysRevE.89.023305
    • (2014) Phys. Rev. E , vol.89 , Issue.2
    • Os̈wiecimka, P.1    Drozdz, S.2    Forczek, M.3    Jadach, S.4    Kwapień, J.5
  • 16
    • 45849138178 scopus 로고    scopus 로고
    • Multifractal detrended cross-correlation analysis for two nonstationary signals
    • W.X. Zhou Multifractal detrended cross-correlation analysis for two nonstationary signals Phys. Rev. E 77 6 2008 066211
    • (2008) Phys. Rev. E , vol.77 , Issue.6
    • Zhou, W.X.1
  • 18
    • 79961102084 scopus 로고    scopus 로고
    • Multifractal detrending moving-average cross-correlation analysis
    • Z.Q. Jiang, and W.X. Zhou Multifractal detrending moving-average cross-correlation analysis Phys. Rev. E 84 1 2011 016106
    • (2011) Phys. Rev. E , vol.84 , Issue.1
    • Jiang, Z.Q.1    Zhou, W.X.2
  • 19
    • 77955142407 scopus 로고    scopus 로고
    • Detrending moving average algorithm for multifractals
    • G.F. Gu, and W.X. Zhou Detrending moving average algorithm for multifractals Phys. Rev. E 82 1 2010 011136
    • (2010) Phys. Rev. E , vol.82 , Issue.1
    • Gu, G.F.1    Zhou, W.X.2
  • 20
    • 80053017779 scopus 로고    scopus 로고
    • Multifractal height cross-correlation analysis: A new method for analyzing long-range cross-correlations
    • L. Kristoufek Multifractal height cross-correlation analysis: A new method for analyzing long-range cross-correlations Europhys. Lett. 95 6 2011 68001
    • (2011) Europhys. Lett. , vol.95 , Issue.6 , pp. 68001
    • Kristoufek, L.1
  • 21
    • 84871574748 scopus 로고    scopus 로고
    • Multifractal cross-correlation analysis based on statistical moments
    • J. Wang, P.J. Shang, and W.J. Ge Multifractal cross-correlation analysis based on statistical moments Fractals 20 3-4 2012 271 279
    • (2012) Fractals , vol.20 , Issue.3-4 , pp. 271-279
    • Wang, J.1    Shang, P.J.2    Ge, W.J.3
  • 22
    • 78650781569 scopus 로고    scopus 로고
    • DCCA cross-correlation coefficient, quantifying level of cross-correlation
    • G.F. Zebende DCCA cross-correlation coefficient, quantifying level of cross-correlation Physica A 390 4 2011 614 618
    • (2011) Physica A , vol.390 , Issue.4 , pp. 614-618
    • Zebende, G.F.1
  • 23
    • 84897552579 scopus 로고    scopus 로고
    • Detrending moving-average cross-correlation coefficient, measuring cross-correlations between non-stationary series
    • L. Kristoufek Detrending moving-average cross-correlation coefficient, measuring cross-correlations between non-stationary series Physica A 406 15 2014 169 175 10.1016/j.physa.2014.03.015
    • (2014) Physica A , vol.406 , Issue.15 , pp. 169-175
    • Kristoufek, L.1
  • 24
    • 0041963070 scopus 로고    scopus 로고
    • Second-order moving average and scaling of stochastic time series
    • E. Alessio, A. Carbone, G. Castelli, and V. Frappietro Second-order moving average and scaling of stochastic time series Eur. Phys. J. B 27 2 2002 197 200
    • (2002) Eur. Phys. J. B , vol.27 , Issue.2 , pp. 197-200
    • Alessio, E.1    Carbone, A.2    Castelli, G.3    Frappietro, V.4
  • 25
    • 84880400121 scopus 로고    scopus 로고
    • Features of the detrended cross-correlation analysis in the time series between absorbable particulate matter and meteorological factors
    • D.D. Kang, D.I. Lee, and B.H. Kwon Features of the detrended cross-correlation analysis in the time series between absorbable particulate matter and meteorological factors J. Korean Phys. Soc. 63 1 2013 10 17
    • (2013) J. Korean Phys. Soc. , vol.63 , Issue.1 , pp. 10-17
    • Kang, D.D.1    Lee, D.I.2    Kwon, B.H.3
  • 26
    • 84905649124 scopus 로고    scopus 로고
    • PM 10 and ambient dioxins in Hong Kong
    • PM 10 and ambient dioxins in Hong Kong Atmos. Environ. 97 2014 130 135 http://dx.doi.org/10.1016/j.atmosenv.2014.08.016
    • (2014) Atmos. Environ. , vol.97 , pp. 130-135
    • Shi, K.1
  • 27
    • 84936983229 scopus 로고    scopus 로고
    • Detrended partial-cross-correlation analysis: A new method for analyzing correlations in complex system
    • N.M. Yuan, Z.T. Fu, H. Zhang, L. Piao, E. Xoplaki, and J. Luterbacher Detrended partial-cross-correlation analysis: a new method for analyzing correlations in complex system Sci. Rep. 5 2015 8143 10.1038/srep08143
    • (2015) Sci. Rep. , vol.5 , pp. 8143
    • Yuan, N.M.1    Fu, Z.T.2    Zhang, H.3    Piao, L.4    Xoplaki, E.5    Luterbacher, J.6
  • 28
    • 84949581652 scopus 로고    scopus 로고
    • Y.M. Liu, Detrended partial cross-correlation analysis of three nonstationary time series.
    • Y.M. Liu, Detrended partial cross-correlation analysis of three nonstationary time series, http://cnki.agrilib.ac.cn/KCMS/detail/detail.aspx?filename=1014170710.nh&dbcode=CMFD&dbname=CMFD2014.
  • 29
    • 84936976964 scopus 로고    scopus 로고
    • Detrended partial cross-correlation analysis of two nonstationary time series influenced by common external forces
    • X.Y. Qian, Y.M. Liu, Z.Q. Jiang, B. Podobnik, W.X. Zhou, and H.E. Stanley Detrended partial cross-correlation analysis of two nonstationary time series influenced by common external forces Phys. Rev. E 91 2015 062816
    • (2015) Phys. Rev. E , vol.91
    • Qian, X.Y.1    Liu, Y.M.2    Jiang, Z.Q.3    Podobnik, B.4    Zhou, W.X.5    Stanley, H.E.6
  • 30
    • 84922361174 scopus 로고    scopus 로고
    • Detrended fluctuation analysis as a regression framework: Estimating dependence at different scales
    • L. Kristoufek Detrended fluctuation analysis as a regression framework: Estimating dependence at different scales Phys. Rev. E 91 2015 022802
    • (2015) Phys. Rev. E , vol.91
    • Kristoufek, L.1
  • 31
    • 84945492621 scopus 로고    scopus 로고
    • A new detrended semipartial cross-correlation analysis: Assessing the important meteorological factors affecting API
    • C.H. Shen A new detrended semipartial cross-correlation analysis: assessing the important meteorological factors affecting API Phys. Lett. A 2015 10.1016/j.physleta.2015.08.025
    • (2015) Phys. Lett. A
    • Shen, C.H.1
  • 33
    • 84921940534 scopus 로고    scopus 로고
    • Analysis of detrended time-lagged cross-correlation between two nonstationary time series
    • C.H. Shen Analysis of detrended time-lagged cross-correlation between two nonstationary time series Phys. Lett. A 379 7 2015 680 687
    • (2015) Phys. Lett. A , vol.379 , Issue.7 , pp. 680-687
    • Shen, C.H.1
  • 34
    • 77956890381 scopus 로고
    • Fractional differencing
    • Mathematical Reviews (MathSciNet): MR614953 Zentralblatt MATH
    • J.R.M. Hosking Fractional differencing Biometrika 68 1981 165 176 Mathematical Reviews (MathSciNet): MR614953 Zentralblatt MATH
    • (1981) Biometrika , vol.68 , pp. 165-176
    • Hosking, J.R.M.1
  • 35
    • 77956174542 scopus 로고    scopus 로고
    • Impact of the tick-size on financial returns and correlations
    • M.C. Münnix, R. Schäfer, and T. Guhr Impact of the tick-size on financial returns and correlations Physica A 389 21 2010 4828 4843
    • (2010) Physica A , vol.389 , Issue.21 , pp. 4828-4843
    • Münnix, M.C.1    Schäfer, R.2    Guhr, T.3
  • 36
    • 85144685314 scopus 로고
    • Comovements in stock prices in the very short run
    • T.W. Epps Comovements in stock prices in the very short run J. Amer. Statist. Assoc. 74 366a 1979 291 298
    • (1979) J. Amer. Statist. Assoc. , vol.74 , Issue.366 A , pp. 291-298
    • Epps, T.W.1
  • 37
    • 84949581653 scopus 로고    scopus 로고
    • The response of convective clouds to aerosol and relative humidity: A numerical study
    • 915-826 (in Chinese with English abstract)
    • Y.M. Rong, and C. Yin The response of convective clouds to aerosol and relative humidity: A numerical study J. Atmospheric Sci. 34 4 2010 915-826 (in Chinese with English abstract)
    • (2010) J. Atmospheric Sci. , vol.34 , Issue.4
    • Rong, Y.M.1    Yin, C.2
  • 38
    • 84898637711 scopus 로고    scopus 로고
    • Spatial and temporal analysis of air pollution index and its time scale dependent relationship with meteorological factors in Guangzhou, China, 2001-2011
    • L. Li, J. Qian, C.Q. Ou, Y.X. Zhou, G. Cui, and Y.M. Guo Spatial and temporal analysis of air pollution index and its time scale dependent relationship with meteorological factors in Guangzhou, China, 2001-2011 Environ. Pollut. 190 2014 75 81
    • (2014) Environ. Pollut. , vol.190 , pp. 75-81
    • Li, L.1    Qian, J.2    Ou, C.Q.3    Zhou, Y.X.4    Cui, G.5    Guo, Y.M.6


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