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Volumn 9, Issue 2, 2014, Pages

Erratum: Applications and comparisons of four time series models in epidemiological surveillance data (PLoS ONE (2014) 9:2 (e88075) DOI:10.1371/journal.pone.0088075);Applications and comparisons of four time series models in epidemiological surveillance data

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; AUTOREGRESSIVE INTEGRATED MOVING AVERAGE; BRUCELLOSIS; CHINA; DISEASE SURVEILLANCE; EPIDEMIC; EXPONENTIAL SMOOTHING; FORECASTING; GONORRHEA; HEMORRHAGIC FEVER; HEPATITIS A; HEPATITIS B; INFECTION; INTERMETHOD COMPARISON; MEASUREMENT ACCURACY; REGRESSION ANALYSIS; SCARLET FEVER; SCHISTOSOMIASIS; STATISTICAL MODEL; SUPPORT VECTOR MACHINE; SYPHILIS; TIME SERIES ANALYSIS; TYPHOID FEVER;

EID: 84895543245     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0091629     Document Type: Erratum
Times cited : (129)

References (39)
  • 1
    • 0035975951 scopus 로고    scopus 로고
    • Dynamic linear model and SARIMA: A comparison of their forecasting performance in epidemiology
    • DOI 10.1002/sim.963
    • Nobre FF, Monteiro ABS, Telles PR, Williamson GD (2001) Dynamic linear model and SARIMA: a comparison of their forecasting performance in epidemiology. Statistics in medicine 20: 3051-3069. (Pubitemid 32982528)
    • (2001) Statistics in Medicine , vol.20 , Issue.20 , pp. 3051-3069
    • Nobre, F.F.1    Monteiro, A.B.S.2    Telles, P.R.3    David, W.G.4
  • 3
    • 30144445300 scopus 로고    scopus 로고
    • Distinguishing dengue fever from other infections on the basis of simple clinical and laboratory features: Application of logistic regression analysis
    • DOI 10.1016/j.jcv.2005.06.002, PII S1386653205001721
    • Chadwick D, Arch B, Wilder-Smith A, Paton N (2006) Distinguishing dengue fever from other infections on the basis of simple clinical and laboratory features: application of logistic regression analysis. Journal of Clinical Virology 35: 147-153. (Pubitemid 43053390)
    • (2006) Journal of Clinical Virology , vol.35 , Issue.2 , pp. 147-153
    • Chadwick, D.1    Arch, B.2    Wilder-Smith, A.3    Paton, N.4
  • 5
    • 84858059232 scopus 로고    scopus 로고
    • A multi-tiered time-series modelling approach to forecasting respiratory syncytial virus incidence at the local level
    • Spaeder MC, Fackler JC (2012) A multi-tiered time-series modelling approach to forecasting respiratory syncytial virus incidence at the local level. Epidemiology and Infection 140: 602-607.
    • (2012) Epidemiology and Infection , vol.140 , pp. 602-607
    • Spaeder, M.C.1    Fackler, J.C.2
  • 6
    • 84864871592 scopus 로고    scopus 로고
    • Application of an autoregressive integrated moving average model for predicting the incidence of hemorrhagic Fever with renal syndrome
    • Li Q, Guo N-N, Han Z-Y, Zhang Y-B, Qi S-X, et al. (2012) Application of an autoregressive integrated moving average model for predicting the incidence of hemorrhagic Fever with renal syndrome. The American journal of tropical medicine and hygiene 87: 364-370.
    • (2012) The American Journal of Tropical Medicine and Hygiene , vol.87 , pp. 364-370
    • Li, Q.1    Guo, N.-N.2    Han, Z.-Y.3    Zhang, Y.-B.4    Qi, S.-X.5
  • 7
    • 80051582959 scopus 로고    scopus 로고
    • Forecasting incidence of hemorrhagic fever with renal syndrome in China using ARIMA model
    • Liu Q, Liu X, Jiang B, Yang W (2011) Forecasting incidence of hemorrhagic fever with renal syndrome in China using ARIMA model. Bmc Infectious Diseases 11.
    • (2011) Bmc Infectious Diseases , pp. 11
    • Liu, Q.1    Liu, X.2    Jiang, B.3    Yang, W.4
  • 12
    • 33644758281 scopus 로고    scopus 로고
    • Comparison of four different time series methods to forecast hepatitis A virus infection
    • DOI 10.1016/j.eswa.2005.09.002, PII S0957417405001879
    • Ture M, Kurt I (2006) Comparison of four different time series methods to forecast hepatitis A virus infection. Expert Systems with Applications 31: 41-46. (Pubitemid 43344260)
    • (2006) Expert Systems with Applications , vol.31 , Issue.1 , pp. 41-46
    • Ture, M.1    Kurt, I.2
  • 13
    • 84877049969 scopus 로고    scopus 로고
    • Comparative Study of Four Time Series Methods in Forecasting Typhoid Fever Incidence in China
    • Zhang X, Liu Y, Yang M, Zhang T, Young AA, et al. (2013) Comparative Study of Four Time Series Methods in Forecasting Typhoid Fever Incidence in China. PloS one 8: e63116.
    • (2013) PloS One , vol.8
    • Zhang, X.1    Liu, Y.2    Yang, M.3    Zhang, T.4    Young, A.A.5
  • 16
    • 0037243071 scopus 로고    scopus 로고
    • Time series forecasting using a hybrid ARIMA and neural network model
    • Zhang GP (2003) Time series forecasting using a hybrid ARIMA and neural network model. Neurocomputing 50: 159-175.
    • (2003) Neurocomputing , vol.50 , pp. 159-175
    • Zhang, G.P.1
  • 17
    • 20344388265 scopus 로고    scopus 로고
    • A hybrid ARIMA and support vector machines model in stock price forecasting
    • DOI 10.1016/j.omega.2004.07.024, PII S0305048304001082
    • Pai P-F, Lin C-S (2005) A hybrid ARIMA and support vector machines model in stock price forecasting. Omega 33: 497-505. (Pubitemid 40792485)
    • (2005) Omega , vol.33 , Issue.6 , pp. 497-505
    • Pai, P.-F.1    Lin, C.-S.2
  • 20
    • 27944432882 scopus 로고    scopus 로고
    • Using support vector machines to forecast the production values of the machinery industry in Taiwan
    • DOI 10.1007/s00170-004-2139-y
    • Pai P-F, Lin C-S (2005) Using support vector machines to forecast the production values of the machinery industry in Taiwan. The International Journal of Advanced Manufacturing Technology 27: 205-210. (Pubitemid 41677222)
    • (2005) International Journal of Advanced Manufacturing Technology , vol.27 , Issue.1-2 , pp. 205-210
    • Pai, P.-F.1    Lin, C.-S.2
  • 21
    • 33644676683 scopus 로고    scopus 로고
    • Predicting engine reliability by support vector machines
    • DOI 10.1007/s00170-004-2340-z
    • Hong W-C, Pai P-F (2006) Predicting engine reliability by support vector machines. The International Journal of Advanced Manufacturing Technology 28: 154-161. (Pubitemid 43333581)
    • (2006) International Journal of Advanced Manufacturing Technology , vol.28 , Issue.1-2 , pp. 154-161
    • Hong, W.-C.1    Pai, P.-F.2
  • 23
    • 0036825901 scopus 로고    scopus 로고
    • Modified support vector machines in financial time series forecasting
    • DOI 10.1016/S0925-2312(01)00676-2, PII S0925231201006762
    • Tay FE, Cao L (2002) Modified support vector machines in financial time series forecasting. Neurocomputing 48: 847-861. (Pubitemid 36221530)
    • (2002) Neurocomputing , vol.48 , pp. 847-861
    • Tay, F.E.H.1    Cao, L.J.2
  • 24
    • 0003828507 scopus 로고
    • Addison-Wesley Redwood City, California
    • Wei WW-S (1994) Time series analysis: Addison-Wesley Redwood City, California.
    • (1994) Time Series Analysis
    • Wei, W.W.-S.1
  • 25
    • 0024764917 scopus 로고
    • Analysis and evaluation of five short-term load forecasting techniques
    • DOI 10.1109/59.41700
    • Moghram I, Rahman S (1989) Analysis and evaluation of five short-term load forecasting techniques. Power Systems, IEEE Transactions on 4: 1484-1491. (Pubitemid 20629707)
    • (1989) IEEE Transactions on Power Systems , vol.4 , Issue.4 , pp. 1484-1491
    • Moghram, I.1    Rahman, S.2
  • 26
    • 84981398169 scopus 로고
    • A CONDITIONAL LEAST SQUARES APPROACH TO BILINEAR TIME SERIES ESTIMATION
    • Grahn T (1995) A CONDITIONAL LEAST SQUARES APPROACH TO BILINEAR TIME SERIES ESTIMATION. Journal of Time Series Analysis 16: 509-529.
    • (1995) Journal of Time Series Analysis , vol.16 , pp. 509-529
    • Grahn, T.1
  • 27
    • 0037061422 scopus 로고    scopus 로고
    • A comparative study of neural network and Box-Jenkins ARIMA modeling in time series prediction
    • DOI 10.1016/S0360-8352(02)00036-0, PII S0360835202000360
    • Ho SL, Xie M, Goh TN (2002) A comparative study of neural network and Box-Jenkins ARIMA modeling in time series prediction. Computers & Industrial Engineering 42: 371-375. (Pubitemid 34410764)
    • (2002) Computers and Industrial Engineering , vol.42 , Issue.2-4 , pp. 371-375
    • Ho, S.L.1    Xie, M.2    Goh, T.N.3
  • 28
    • 0039268529 scopus 로고    scopus 로고
    • On the distributions of Augmented Dickey-Fuller statistics in processes with moving average components
    • PII S0304407698000979
    • Galbraith J, Zinde-Walsh V (1999) On the distributions of Augmented Dickey-Fuller statistics in processes with moving average components. Journal of Econometrics 93: 25-47. (Pubitemid 129591921)
    • (1999) Journal of Econometrics , vol.93 , Issue.1 , pp. 25-47
    • Galbraith, J.W.1    Zinde-Walsh, V.2
  • 31
    • 0002343859 scopus 로고    scopus 로고
    • Introduction to statistical learning theory and support vector machines
    • Xuegong Z (2000) Introduction to statistical learning theory and support vector machines. Acta Automatica Sinica 26: 32-42.
    • (2000) Acta Automatica Sinica , vol.26 , pp. 32-42
    • Xuegong, Z.1
  • 33
    • 4043137356 scopus 로고    scopus 로고
    • A tutorial on support vector regression
    • DOI 10.1023/B:STCO.0000035301.49549.88
    • Smola AJ, Schölkopf B (2004) A tutorial on support vector regression. Statistics and computing 14: 199-222. (Pubitemid 39063488)
    • (2004) Statistics and Computing , vol.14 , Issue.3 , pp. 199-222
    • Smola, A.J.1    Scholkopf, B.2
  • 35
    • 78649720924 scopus 로고    scopus 로고
    • On the combination of exponential smoothing and diffusion forecasts: An application to broadband diffusion in the OECD area
    • Christodoulos C, Michalakelis C, Varoutas D (2011) On the combination of exponential smoothing and diffusion forecasts: An application to broadband diffusion in the OECD area. Technological Forecasting and Social Change 78: 163-170.
    • (2011) Technological Forecasting and Social Change , vol.78 , pp. 163-170
    • Christodoulos, C.1    Michalakelis, C.2    Varoutas, D.3
  • 37
    • 77954995059 scopus 로고    scopus 로고
    • A Hybrid Model for Short-Term Bacillary Dysentery Prediction in Yichang City, China
    • Yan W, Xu Y, Yang X, Zhou Y (2010) A Hybrid Model for Short-Term Bacillary Dysentery Prediction in Yichang City, China. Japanese Journal of Infectious Diseases 63: 264-270.
    • (2010) Japanese Journal of Infectious Diseases , vol.63 , pp. 264-270
    • Yan, W.1    Xu, Y.2    Yang, X.3    Zhou, Y.4
  • 38
    • 0001023715 scopus 로고    scopus 로고
    • Application of support vector machines in financial time series forecasting
    • DOI 10.1016/S0305-0483(01)00026-3, PII S0305048301000263
    • Tay FE, Cao L (2001) Application of support vector machines in financial time series forecasting. Omega 29: 309-317. (Pubitemid 33628757)
    • (2001) Omega , vol.29 , Issue.4 , pp. 309-317
    • Tay, F.E.H.1    Cao, L.2
  • 39
    • 84944452417 scopus 로고
    • Outliers, level shifts, and variance changes in time series
    • Tsay RS (1988) Outliers, level shifts, and variance changes in time series. Journal of forecasting 7(1): 1-20.
    • (1988) Journal of Forecasting , vol.7 , Issue.1 , pp. 1-20
    • Tsay, R.S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.