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Volumn 4, Issue 1, 2015, Pages

On multivariate imputation and forecasting of decadal wind speed missing data

Author keywords

Forecasting; Imputations; Missing data; Statistical models; Wind speed

Indexed keywords


EID: 84921326736     PISSN: None     EISSN: 21931801     Source Type: Journal    
DOI: 10.1186/s40064-014-0774-9     Document Type: Article
Times cited : (18)

References (28)
  • 3
    • 79957808679 scopus 로고    scopus 로고
    • Classification of wind speed distributions using a mixture of Dirichlet distributions
    • Calif R, Emilion R, Soubdhan T (2011) Classification of wind speed distributions using a mixture of Dirichlet distributions. Renew Energy 36:3091–3097
    • (2011) Renew Energy , vol.36 , pp. 3091-3097
    • Calif, R.1    Emilion, R.2    Soubdhan, T.3
  • 4
    • 0000167087 scopus 로고
    • Rule-based forecasting: development and validation of an expert systems approach to combining time series extrapolations
    • Collopy F, Armstrong JS (1992) Rule-based forecasting: development and validation of an expert systems approach to combining time series extrapolations. Manage Sci 38:1394–1414
    • (1992) Manage Sci , vol.38 , pp. 1394-1414
    • Collopy, F.1    Armstrong, J.S.2
  • 5
    • 0036826964 scopus 로고    scopus 로고
    • Estimating wind speed distribution
    • Dorvlo ASS (2002) Estimating wind speed distribution. Energy Conversion Manage 43:2311–2318
    • (2002) Energy Conversion Manage , vol.43 , pp. 2311-2318
    • Dorvlo, A.S.S.1
  • 6
    • 0000842497 scopus 로고
    • Forecasting trends in time series
    • Gardner ES Jr, McKenzie ED (1985) Forecasting trends in time series. Manage Sci 31:1237–1246
    • (1985) Manage Sci , vol.31 , pp. 1237-1246
    • Gardner, E.S.1    McKenzie, E.D.2
  • 7
    • 2942628165 scopus 로고    scopus 로고
    • Parameterization and bayesian modeling
    • Gelman A (2004) “Parameterization and bayesian modeling”. J Am Stat Assoc 99:537-545
    • (2004) J Am Stat Assoc , vol.99 , pp. 537-545
    • Gelman, A.1
  • 8
    • 84966580386 scopus 로고    scopus 로고
    • The state-of-the-art in short-term prediction of wind power: a literature overview
    • Technical University of Denmark, Denmark:
    • Giebel G, Brownsword R, Kariniotakis G, Denhard M, Draxl C (2011) “The state-of-the-art in short-term prediction of wind power: a literature overview”. ANEMOS Plus: Technical University of Denmark, Denmark
    • (2011) ANEMOS Plus
    • Giebel, G.1    Brownsword, R.2    Kariniotakis, G.3    Denhard, M.4    Draxl, C.5
  • 12
    • 74449091026 scopus 로고    scopus 로고
    • Application of Bayesian model averaging in modeling long-term wind speed distributions
    • Li G, Shi J (2010) Application of Bayesian model averaging in modeling long-term wind speed distributions. Renew Energy 35:1192–1202
    • (2010) Renew Energy , vol.35 , pp. 1192-1202
    • Li, G.1    Shi, J.2
  • 13
    • 0342979827 scopus 로고    scopus 로고
    • A study of Weibull parameters using long-term wind observations
    • Lun IYF, Lam JC (2000) A study of Weibull parameters using long-term wind observations. Renew Energy 20:145–153
    • (2000) Renew Energy , vol.20 , pp. 145-153
    • Lun, I.Y.F.1    Lam, J.C.2
  • 14
    • 80052523055 scopus 로고    scopus 로고
    • Estimating wind speed probability distribution using kernel density method
    • Qin Z, Li W, Xiong X (2011) Estimating wind speed probability distribution using kernel density method. Electr Power Syst Res 81:2139–2146
    • (2011) Electr Power Syst Res , vol.81 , pp. 2139-2146
    • Qin, Z.1    Li, W.2    Xiong, X.3
  • 16
    • 0002344593 scopus 로고    scopus 로고
    • A multivariate technique for multiply imputing missing values using a sequence of regression models
    • Raghunathan TE, Lepkowski JM, Van Hoewyk J, Solenberger P (2001) A multivariate technique for multiply imputing missing values using a sequence of regression models. Survey Methodol 27:85–96
    • (2001) Survey Methodol , vol.27 , pp. 85-96
    • Raghunathan, T.E.1    Lepkowski, J.M.2    Van Hoewyk, J.3    Solenberger, P.4
  • 17
    • 0345241817 scopus 로고    scopus 로고
    • Nested multiple imputation of NMES via partially incompatible MCMC
    • Rubin DB (2003) Nested multiple imputation of NMES via partially incompatible MCMC. Statistica Neerlandica 57:3–18
    • (2003) Statistica Neerlandica , vol.57 , pp. 3-18
    • Rubin, D.B.1
  • 18
    • 0032960273 scopus 로고    scopus 로고
    • Multiple imputation: a primer
    • Schafer JL (1999) Multiple imputation: a primer. Stat Methods Med Res 8:3–15
    • (1999) Stat Methods Med Res , vol.8 , pp. 3-15
    • Schafer, J.L.1
  • 19
    • 28444485368 scopus 로고    scopus 로고
    • Multiple imputation in multivariate problems when the imputation and analysis models differ
    • Schafer JL (2003) Multiple imputation in multivariate problems when the imputation and analysis models differ. Statistica Neerlandica 57:19–35
    • (2003) Statistica Neerlandica , vol.57 , pp. 19-35
    • Schafer, J.L.1
  • 20
    • 0032219074 scopus 로고    scopus 로고
    • Multiple imputation for multivariate missing-data problems: a data analyst’s perspective
    • Schafer JL, Olsen MK (1998) Multiple imputation for multivariate missing-data problems: a data analyst’s perspective. Multivariate Behav Res 33:545–571
    • (1998) Multivariate Behav Res , vol.33 , pp. 545-571
    • Schafer, J.L.1    Olsen, M.K.2
  • 21
    • 34347407592 scopus 로고    scopus 로고
    • Multiple imputation of discrete and continuous data by fully conditional specification
    • Van Buuren S (2007) Multiple imputation of discrete and continuous data by fully conditional specification. Stat Methods Med Res 16:219–242
    • (2007) Stat Methods Med Res , vol.16 , pp. 219-242
    • Van Buuren, S.1
  • 24
    • 0033616909 scopus 로고    scopus 로고
    • Multiple imputation of missing blood pressure covariates in survival analysis
    • Van Buuren S, Boshuizen HC, Knook DL (1999) Multiple imputation of missing blood pressure covariates in survival analysis. Stat Med 18:681–694
    • (1999) Stat Med , vol.18 , pp. 681-694
    • Van Buuren, S.1    Boshuizen, H.C.2    Knook, D.L.3
  • 26
    • 84919924814 scopus 로고    scopus 로고
    • Bayesian model averaging: an application to the determinants of airport departure delay in Uganda
    • Wesonga R, Nabugoomu F (2014) Bayesian model averaging: an application to the determinants of airport departure delay in Uganda. Am J Theoretical Appl Stat 3:1–5
    • (2014) Am J Theoretical Appl Stat , vol.3 , pp. 1-5
    • Wesonga, R.1    Nabugoomu, F.2
  • 27
    • 84858142115 scopus 로고    scopus 로고
    • Parameterized framework for the analysis of probabilities of aircraft delay at an airport
    • Wesonga R, Nabugoomu F, Jehopio P (2012) Parameterized framework for the analysis of probabilities of aircraft delay at an airport. J Air Transport Manage 23:1–4
    • (2012) J Air Transport Manage , vol.23 , pp. 1-4
    • Wesonga, R.1    Nabugoomu, F.2    Jehopio, P.3
  • 28
    • 84921411903 scopus 로고    scopus 로고
    • Modelling airport efficiency with distributions of the inefficient error term: an application of time series data for aircraft departure delay
    • Wesonga R, Nabugoomu F, Jehopio P, Mugisha X (2013) “Modelling airport efficiency with distributions of the inefficient error term: an application of time series data for aircraft departure delay”. Int J Sci Basic Appl Res 1:115–123
    • (2013) Int J Sci Basic Appl Res , vol.1 , pp. 115-123
    • Wesonga, R.1    Nabugoomu, F.2    Jehopio, P.3    Mugisha, X.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.