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Bayesian analysis of fractionally integrated ARMA with additive noise
Hsu, Nan-Jung; Breidt, F.Jay - In: Journal of forecasting 22 (2003) 6, pp. 491-514
Persistent link: https://www.econbiz.de/10006885095
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Applications and Case Studies - Semiparametric Mixed Models for Increment-Averaged Data With Application to Carbon Sequestration in Agricultural Soils
Breidt, F.Jay; Hsu, Nan-Jung; Ogle, Stephen - In: Journal of the American Statistical Association : JASA 102 (2007) 479, pp. 803-812
Persistent link: https://www.econbiz.de/10007861950
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ESTIMATION FOR SUPPLEMENTED PANELS
Fuller, Wayne A.; Breidt, F.Jay - In: Sankhya / B : the Indian journal of statistics 61 (1999) 1, pp. 58-70
Persistent link: https://www.econbiz.de/10006518644
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Applications and Case Studies - Rejoinder - Model-Assisted Estimation of Forest Resources With Generalized Additive Models
Opsomer, Jean D.; Breidt, F.Jay; Moisen, Gretchen G.; … - In: Journal of the American Statistical Association : JASA 102 (2007) 478, pp. 415-416
Persistent link: https://www.econbiz.de/10007741804
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Applications and Case Studies - Model-Assisted Estimation of Forest Resources With Generalized Additive Models
Opsomer, Jean D.; Breidt, F.Jay; Moisen, Gretchen G.; … - In: Journal of the American Statistical Association : JASA 102 (2007) 478, pp. 400-408
Persistent link: https://www.econbiz.de/10007741808
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The detection and estimation of long memory in stochastic volatility
Breidt, F.Jay; Crato, Nuno; Lima, Pedro de - In: Journal of econometrics 83 (1998) 1-2, pp. 325-348
Persistent link: https://www.econbiz.de/10006790172
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Theory and Methods - Rejoinder - Prediction of Spatial Cumulative Distribution Functions Using Subsampling
Lahiri, Soumendra N.; Kaiser, Mark S.; Cressie, Noel; … - In: Journal of the American Statistical Association : JASA 94 (1999) 445, pp. 107-110
Persistent link: https://www.econbiz.de/10006627275
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Theory and Methods - Prediction of Spatial Cumulative Distribution Functions Using Subsampling
Lahiri, Soumendra N.; Kaiser, Mark S.; Cressie, Noel; … - In: Journal of the American Statistical Association : JASA 94 (1999) 445, pp. 86-96
Persistent link: https://www.econbiz.de/10006627281