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Volumn 21, Issue 2, 2010, Pages 162-172

A missing values imputation method for time series data: An efficient method to investigate the health effects of sulphur dioxide levels

Author keywords

ARMA processes; Confidence intervals; Environmental time series data; Missing values imputations; Prediction error

Indexed keywords

ASTHMA; CONFIDENCE INTERVAL; ERROR ANALYSIS; HEALTH IMPACT; NUMERICAL METHOD; PERFORMANCE ASSESSMENT; POISSON RATIO; PREDICTION; PUBLIC HEALTH; REGRESSION ANALYSIS; SOFTWARE; SULFUR DIOXIDE; TIME SERIES;

EID: 77949551277     PISSN: 11804009     EISSN: 1099095X     Source Type: Journal    
DOI: 10.1002/env.990     Document Type: Article
Times cited : (19)

References (15)
  • 4
    • 77949553186 scopus 로고    scopus 로고
    • Canadian Institute for Health Information, Retrieved Dec 5,2008 from
    • Canadian Institute for Health Information. 2004. ICD-9/CCP and ICD-9-CM. Retrieved Dec 5,2008 from: http://secure.cihi.ca/cihiweb/dispPage.jsp?cw_page1/4codingclass_icd9cm_e.
    • (2004) ICD-9/CCP and ICD-9-CM
  • 5
    • 0002308650 scopus 로고
    • Interpolating missing values in a time series
    • Damsleth E. 1980. Interpolating missing values in a time series. Scandinavian Journal of Statistics 7: 33-39.
    • (1980) Scandinavian Journal of Statistics , vol.7 , pp. 33-39
    • Damsleth, E.1
  • 7
    • 0018424432 scopus 로고
    • Maximum likelihood estimation of regression models with autoregressive-moving average disturbances
    • Harvey AC, Phillips GDA. 1979. Maximum likelihood estimation of regression models with autoregressive-moving average disturbances. Biometrika 66(1): 49-58.
    • (1979) Biometrika , vol.66 , Issue.1 , pp. 49-58
    • Harvey, A.C.1    Phillips, G.D.A.2
  • 9
    • 0035103119 scopus 로고    scopus 로고
    • Multiple imputation for multivariate data with missing and below-threshold measurements: Time-series concentrations of pollutants in the Arctic
    • Hopke PK, Liu C, Rubin DB. 2001. Multiple imputation for multivariate data with missing and below-threshold measurements: time-series concentrations of pollutants in the Arctic. Biometrics 57(1): 22-33.
    • (2001) Biometrics , vol.57 , Issue.1 , pp. 22-33
    • Hopke, P.K.1    Liu, C.2    Rubin, D.B.3
  • 11
    • 84981375145 scopus 로고
    • Estimation and interpolation of missing values of a stationary time series
    • Pourahmadi M. 1989. Estimation and interpolation of missing values of a stationary time series. Journal of Time Series Analysis 10(2): 149-169.
    • (1989) Journal of Time Series Analysis , vol.10 , Issue.2 , pp. 149-169
    • Pourahmadi, M.1
  • 12
    • 77949557468 scopus 로고
    • Retrieved Dec 5, 2008 from
    • Ranasinghe DSS. 1993. On the estimation of return periods from short sea level records. Retrieved Dec 5, 2008 from: http://aleph1.novanet.ns.ca.ezproxy.library.dal.ca/F/LNRGIBCXI7AG4THIEHDH1I2DAKIR6Q81E5IIEIRESUL6I8UTSG-01708?func1/4item-global&doc_library1/4NOV01&doc_number1/4001381146&year1/4&volume1/4&sub_library1/4DLKIL
    • (1993) On the Estimation of Return Periods From Short Sea Level Records
    • Ranasinghe, D.S.S.1
  • 13
    • 0003709183 scopus 로고    scopus 로고
    • SAS Institute Inc
    • SAS Institute Inc. 1999. SAS OnlineDoc v.8. http://v8doc.sas.com/sashtml/
    • (1999) Sas Onlinedoc V.8
  • 15
    • 84986753417 scopus 로고
    • An analytical approach to time series smoothing and forecasting using the EM algorithm
    • Shumway RH, Stoffer DS. 1982. An analytical approach to time series smoothing and forecasting using the EM algorithm. Journal of Time Series Analysis 3: 253-264.
    • (1982) Journal of Time Series Analysis , vol.3 , pp. 253-264
    • Shumway, R.H.1    Stoffer, D.S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.