-
1
-
-
0016355478
-
A new look at the statistical model identification
-
Akaike, H. 1974. A new look at the statistical model identification. IEEE Transactions on Automatic Control AC 19, no. 6 : 716 723.
-
(1974)
IEEE Transactions on Automatic Control AC
, vol.19
, Issue.6
, pp. 716-723
-
-
Akaike, H.1
-
3
-
-
0028669965
-
Determining the range of predictions of a ground water model which arises from alternative calibrations
-
and
-
Brooks, R., D.N. Lerner, and A. Tobias. 1994. Determining the range of predictions of a ground water model which arises from alternative calibrations. Water Resources Research 30, no. 11 : 2993 3000.
-
(1994)
Water Resources Research
, vol.30
, Issue.11
, pp. 2993-3000
-
-
Brooks, R.1
Lerner, D.N.2
Tobias, A.3
-
4
-
-
8744307994
-
Multi-model inference: Understanding AIC and BIC model selection
-
and
-
Burnham, K.P., and D.R. Anderson. 2004. Multi-model inference: Understanding AIC and BIC model selection. Sociological Methods and Research 33, no. 2, 261 304.
-
(2004)
Sociological Methods and Research
, vol.33
, Issue.2
, pp. 261-304
-
-
Burnham, K.P.1
Anderson, D.R.2
-
6
-
-
0022923343
-
Estimation of aquifer parameters under transient and steady state conditions: 3. Application to synthetic and field data
-
and
-
Carrera, J., and S.P. Neumann. 1986. Estimation of aquifer parameters under transient and steady state conditions: 3. Application to synthetic and field data. Water Resources Research 22, no. 2, 228 242.
-
(1986)
Water Resources Research
, vol.22
, Issue.2
, pp. 228-242
-
-
Carrera, J.1
Neumann, S.P.2
-
9
-
-
0032882781
-
Evaluation of prediction intervals for expressing uncertainties in ground water flow model predictions
-
and
-
Christensen, S., and R.L. Cooley. 1999. Evaluation of prediction intervals for expressing uncertainties in ground water flow model predictions. Water Resources Research 35, no. 9 : 2627 2639.
-
(1999)
Water Resources Research
, vol.35
, Issue.9
, pp. 2627-2639
-
-
Christensen, S.1
Cooley, R.L.2
-
12
-
-
0003757222
-
-
and. USGS Techniques in Water-Resources Investigations, book 3, chap. B4. Reston, Virginia: USGS.
-
Cooley, R.L., and R.L. Naff. 1990. Regression modeling of ground-water flow. USGS Techniques in Water-Resources Investigations, book 3, chap. B4. Reston, Virginia : USGS.
-
(1990)
Regression Modeling of Ground-water Flow
-
-
Cooley, R.L.1
Naff, R.L.2
-
13
-
-
34250263445
-
Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
-
and
-
Craven, P., and G. Whaba. 1979. Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation. Numerische Mathematik 31, 377 403.
-
(1979)
Numerische Mathematik
, vol.31
, pp. 377-403
-
-
Craven, P.1
Whaba, G.2
-
16
-
-
34548112273
-
-
Alternative groundwater models to investigate river-aquifer interactions in an environmentally active alpine floodplain. PhD dissertation. Institute for Environmental Engineering, ETH Zurich, Switzerland.
-
Foglia, L. 2006. Alternative groundwater models to investigate river-aquifer interactions in an environmentally active alpine floodplain. PhD dissertation. Institute for Environmental Engineering, ETH Zurich, Switzerland.
-
(2006)
-
-
Foglia, L.1
-
18
-
-
0003395132
-
-
and. USGS Open-File Report. Reston, Virginia: USGS.
-
Harbaugh, A.W., E.R. Banta, M.C. Hill, and M.G. McDonald. 2000. MODFLOW-2000, The U.S. Geological Survey modular ground-water model - Users guide to modularization concepts and the ground-water flow process. USGS Open-File Report 00 92. Reston, Virginia : USGS.
-
(2000)
MODFLOW-2000, the U.S. Geological Survey Modular Ground-water Model - Users Guide to Modularization Concepts and the Ground-water Flow Process
, pp. 00-92
-
-
Harbaugh, A.W.1
Banta, E.R.2
Hill, M.C.3
McDonald, M.G.4
-
19
-
-
0037808675
-
-
and. U.S. Geological Survey Techniques in Water Resources, Book 4, Chapter A3. Available at:
-
Helsel, D.R., and R.M. Hirsh. 2002. Statistical methods in water resources. U.S. Geological Survey Techniques in Water Resources, Book 4, Chapter A3. Available at : http://pubs.water.usgs.gov/twri4a3.
-
(2002)
Statistical Methods in Water Resources
-
-
Helsel, D.R.1
Hirsh, R.M.2
-
20
-
-
33750428609
-
The practical use of simplicity in developing ground water models
-
Hill, M.C. 2006. The practical use of simplicity in developing ground water models. Ground Water 44, no. 6 : 775 781.
-
(2006)
Ground Water
, vol.44
, Issue.6
, pp. 775-781
-
-
Hill, M.C.1
-
22
-
-
33749356176
-
-
and. New York: John Wiley and Sons.
-
Hill, M.C., and C.R. Tiedeman. 2007. Effective Calibration of Groundwater Models, with Analysis of Data, Sensitivities, Predictions, and Uncertainty. New York : John Wiley and Sons.
-
(2007)
Effective Calibration of Groundwater Models, with Analysis of Data, Sensitivities, Predictions, and Uncertainty.
-
-
Hill, M.C.1
Tiedeman, C.R.2
-
23
-
-
0043045215
-
-
and. USGS Open-File Report. Reston, Virginia: USGS.
-
Hill, M.C., E.R. Banta, A.W. Harbaugh, and E.R. Anderman. 2000. MODFLOW-2000, The U.S. Geological Survey modular ground-water model, User's guide to the observation, sensitivity, and parameter-estimation processes. USGS Open-File Report 00 184. Reston, Virginia : USGS.
-
(2000)
MODFLOW-2000, the U.S. Geological Survey Modular Ground-water Model, User's Guide to the Observation, Sensitivity, and Parameter-estimation Processes
, pp. 00-184
-
-
Hill, M.C.1
Banta, E.R.2
Harbaugh, A.W.3
Anderman, E.R.4
-
24
-
-
33645968672
-
The importance of diverse data types to calibrate a watershed model of the Trout Lake Basin, Northern Wisconsin, USA
-
and
-
Hunt, R.J., D.T. Feinstein, C.D. Pint, and M.P. Anderson, 2006. The importance of diverse data types to calibrate a watershed model of the Trout Lake Basin, Northern Wisconsin, USA. Journal of Hydrology 321, no. 1-4 : 286 296.
-
(2006)
Journal of Hydrology
, vol.321
, Issue.14
, pp. 286-296
-
-
Hunt, R.J.1
Feinstein, D.T.2
Pint, C.D.3
Anderson, M.P.4
-
26
-
-
20844435676
-
Role of the calibration process in reducing model predictive error
-
and. 41, W05020, doi: 10.1029/2004WR003501.
-
Moore, C., and J. Doherty. 2005. Role of the calibration process in reducing model predictive error. Water Resources Research 41, W05020, doi: 10.1029/2004WR003501.
-
(2005)
Water Resources Research
-
-
Moore, C.1
Doherty, J.2
-
27
-
-
0034276175
-
On the trajectory method for the reconstruction of differential equations from time series
-
and
-
Perona, P., A. Porporato, and L. Ridolfi. 2000. On the trajectory method for the reconstruction of differential equations from time series. Nonlinear Dynamics 23, no. 1 : 13 33.
-
(2000)
Nonlinear Dynamics
, vol.23
, Issue.1
, pp. 13-33
-
-
Perona, P.1
Porporato, A.2
Ridolfi, L.3
-
28
-
-
22244490375
-
Multi-model ranking and inference in ground water modeling
-
and
-
Poeter, E.P., and D.R. Anderson. 2005. Multi-model ranking and inference in ground water modeling. Ground Water 43, no. 4 : 597 605.
-
(2005)
Ground Water
, vol.43
, Issue.4
, pp. 597-605
-
-
Poeter, E.P.1
Anderson, D.R.2
-
31
-
-
17144384433
-
Local polynomial method for ensemble forecast of time series
-
and
-
Regonda, S.K., B. Rajagopalan, U. Lall, M. Clark, and Y.I. Moon. 2005. Local polynomial method for ensemble forecast of time series. Nonlinear Processes in Geophysics 12, no. 3 : 397 406.
-
(2005)
Nonlinear Processes in Geophysics
, vol.12
, Issue.3
, pp. 397-406
-
-
Regonda, S.K.1
Rajagopalan, B.2
Lall, U.3
Clark, M.4
Moon, Y.I.5
-
33
-
-
0000120766
-
Estimating the dimension of a model
-
Schwarz, G. 1978. Estimating the dimension of a model. Annals of Statistics 6, 461 464.
-
(1978)
Annals of Statistics
, vol.6
, pp. 461-464
-
-
Schwarz, G.1
-
34
-
-
21144474350
-
Linear model selection by cross-validation
-
Shao, J. 1993. Linear model selection by cross-validation. Journal of the American Statistical Association 88, no. 422 : 486 494.
-
(1993)
Journal of the American Statistical Association
, vol.88
, Issue.422
, pp. 486-494
-
-
Shao, J.1
-
36
-
-
12544249789
-
A method for evaluating the importance of system state observations to model predictions, with application to the Death Valley regional groundwater flow system
-
and
-
Tiedeman, C.R., D.M. Ely, M.C. Hill, and G.M. O'Brien. 2004. A method for evaluating the importance of system state observations to model predictions, with application to the Death Valley regional groundwater flow system. Water Resources Research, no. 40, 1 17.
-
(2004)
Water Resources Research
, Issue.40
, pp. 1-17
-
-
Tiedeman, C.R.1
Ely, D.M.2
Hill, M.C.3
O'Brien, G.M.4
-
37
-
-
0036005766
-
Kriging water levels with a regional-linear and point-logarithmic drift
-
and
-
Tonkin, M.J., and S.P. Larson. 2002. Kriging water levels with a regional-linear and point-logarithmic drift. Ground Water 40, no. 2 : 185 193.
-
(2002)
Ground Water
, vol.40
, Issue.2
, pp. 185-193
-
-
Tonkin, M.J.1
Larson, S.P.2
-
38
-
-
72249117077
-
-
and. USGS Techniques and Methods TM6-E2. Reston, Virginia: USGS.
-
Tonkin, M.J., C.R. Tiedeman, D.M. Ely, and M.C. Hill. 2007. Documentation of OPR-PPR, a computer program for assessing data importance to model predictions using linear statistics. USGS Techniques and Methods TM6-E2. Reston, Virginia : USGS.
-
(2007)
Documentation of OPR-PPR, a Computer Program for Assessing Data Importance to Model Predictions Using Linear Statistics
-
-
Tonkin, M.J.1
Tiedeman, C.R.2
Ely, D.M.3
Hill, M.C.4
-
39
-
-
0001673027
-
Jackknife, Bootstrap and other resampling methods in regression analysis
-
Wu, C.F.J. 1986. Jackknife, Bootstrap and other resampling methods in regression analysis. The Annals of Statistics 14, no. 4 : 1261 1295.
-
(1986)
The Annals of Statistics
, vol.14
, Issue.4
, pp. 1261-1295
-
-
Wu, F.J.1
-
40
-
-
2342599771
-
Effects of model sensitivity and nonlinearity on nonlinear regression of ground water flow
-
Yager, R.M. 2004. Effects of model sensitivity and nonlinearity on nonlinear regression of ground water flow. Ground Water 42, no. 3 : 390 400.
-
(2004)
Ground Water
, vol.42
, Issue.3
, pp. 390-400
-
-
Yager, R.M.1
-
41
-
-
0031811167
-
Detecting influential observations in nonlinear regression modeling of ground water flow
-
Yager, R.M. 1998. Detecting influential observations in nonlinear regression modeling of ground water flow. Water Resources Research 34, no. 7 : 1623 1633.
-
(1998)
Water Resources Research
, vol.34
, Issue.7
, pp. 1623-1633
-
-
Yager, R.M.1
|