Design and testing of a process-based groundwater vulnerabilty assessment (P-GWAVA) system for predicting concentrations of agrichemicals in groundwater across the United States / by Jack E. Barbash ; Frank D. Voss |
Autore | Barbash Jack E. |
Pubbl/distr/stampa | Reston, Virginia : , : U.S. Department of the Interior, U.S. Geological Survey, , 2014 |
Descrizione fisica | 1 online resource (xvi, 210 pages) : color illustrations |
Collana | Scientific investigations report, |
Soggetto topico |
Agricultural chemicals - Environmental aspects - United States - Computer simulation
Groundwater - Quality - United States - Computer simulation Water - Composition - United States - Computer simulation Water quality - United States - Computer simulation Estimation theory - Computer programs |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | Design and testing of a process-based groundwater vulnerabilty assessment |
Record Nr. | UNINA-9910707388703321 |
Barbash Jack E.
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Reston, Virginia : , : U.S. Department of the Interior, U.S. Geological Survey, , 2014 | ||
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Lo trovi qui: Univ. Federico II | ||
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Smoothing techniques for curve estimation : proceedings of workshop held in Heidelberg, April 2-4, 1979 / / edited by T. Gasser and M. Rosenblatt |
Edizione | [1st ed. 1979.] |
Pubbl/distr/stampa | Berlin, Germany ; ; New York, New York : , : Springer-Verlag, , [1979] |
Descrizione fisica | 1 online resource (245 p.) |
Disciplina | 519.544 |
Collana | Lecture Notes in Mathematics |
Soggetto topico |
Curve fitting - Computer programs
Estimation theory - Computer programs |
ISBN | 3-540-38475-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Nonparametric curve estimation -- A tree-structured approach to nonparametric multiple regression -- Kernel estimation of regression functions -- Total least squares -- Some theoretical results on Tukey’s 3R smoother -- Bias- and efficiency-robustness of general M-estimators for regression with random carriers -- Approximate conditional-mean type smoothers and interpolators -- Optimal convergence properties of kernel estimates of derivatives of a density function -- Density quantile estimation approach to statistical data modelling -- Global measures of deviation for kernel and nearest neighbor density estimates -- Some comments on the asymptotic behavior of robust smoothers -- Cross-validation techniques for smoothing spline functions in one or two dimensions -- Convergence rates of "thin plate" smoothing splines wihen the data are noisy. |
Record Nr. | UNISA-996466652903316 |
Berlin, Germany ; ; New York, New York : , : Springer-Verlag, , [1979] | ||
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Lo trovi qui: Univ. di Salerno | ||
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