-
1
-
-
33645535077
-
Neural error regression analysis (NERD): A tool for model bias identification and prognostic data assimilation
-
doi:10.1175/JHM479.1
-
Abramowitz, G., H. Gupta, A. Pitman, Y. Wang, R. Leuning, H. Cleugh, and K. Hsu (2006), Neural error regression analysis (NERD): A tool for model bias identification and prognostic data assimilation, J. Hydrometeorol., 7(1), 160-177, doi:10.1175/JHM479.1.
-
(2006)
J. Hydrometeorol.
, vol.7
, Issue.1
, pp. 160-177
-
-
Abramowitz, G.1
Gupta, H.2
Pitman, A.3
Wang, Y.4
Leuning, R.5
Cleugh, H.6
Hsu, K.7
-
2
-
-
0000708831
-
Mixture of Dirichlet processes with application to Bayesian nonparametric problems
-
doi:10.1214/aos/1176342871
-
Antoniak, C. (1974), Mixture of Dirichlet processes with application to Bayesian nonparametric problems, Ann. Stat., 2, 1152-1174, doi:10.1214/aos/ 1176342871.
-
(1974)
Ann. Stat.
, vol.2
, pp. 1152-1174
-
-
Antoniak, C.1
-
3
-
-
0034508765
-
Toward improved calibration of hydrologic models: Combining the strengths of manual and automatic methods
-
DOI 10.1029/2000WR900207
-
Boyle, D. P., H. V. Gupta, and S. Sorooshian (2000), Toward improved calibration of hydrological models: Combining the strengths of manual and automatic methods, Water Resour. Res., 36, 3663-3674, doi:10.1029/2000WR900207. (Pubitemid 32039916)
-
(2000)
Water Resources Research
, vol.36
, Issue.12
, pp. 3663-3674
-
-
Boyle, D.P.1
Gupta, H.V.2
Sorooshian, S.3
-
6
-
-
72149123038
-
Estimating the uncertain mathematical structure of a water balance model via Bayesian data assimilation
-
doi:10.1029/2007WR006749
-
Bulygina, N., and H. Gupta (2009), Estimating the uncertain mathematical structure of a water balance model via Bayesian data assimilation, Water Resour. Res., 45, W00B13, doi:10.1029/2007WR006749.
-
(2009)
Water Resour. Res.
, vol.45
-
-
Bulygina, N.1
Gupta, H.2
-
7
-
-
77954427278
-
How Bayesian data assimilation can be used to estimate the mathematical structure of a model
-
Bulygina, N., and H. Gupta (2010), How Bayesian data assimilation can be used to estimate the mathematical structure of a model, Stochastic Environ. Res. Risk Assess., 24, 925-937.
-
(2010)
Stochastic Environ. Res. Risk Assess.
, vol.24
, pp. 925-937
-
-
Bulygina, N.1
Gupta, H.2
-
8
-
-
0032439201
-
Analysis scheme in the ensemble Kalman filter
-
Burgers, G., P. van Leeuwen, and G. Evensen (1998), Analysis scheme in the ensemble Kalman filter, Mon. Weather Rev., 126(6), 1719-1724, doi:10.1175/1520-0493(1998)1262.0.CO;2. (Pubitemid 128597660)
-
(1998)
Monthly Weather Review
, vol.126
, Issue.6
, pp. 1719-1724
-
-
Burgers, G.1
Van Leeuwen, P.J.2
Evensen, G.3
-
9
-
-
0003408682
-
A generalized streamflow simulation system
-
Sacramento, Calif
-
Burnash, R. J. E., R. L. Ferral, and R. A. McGuire (1973), A generalized streamflow simulation system, report, Joint Fed. State River Forecast Cent., Sacramento, Calif.
-
(1973)
Report, Joint Fed. State River Forecast Cent.
-
-
Burnash, R.J.E.1
Ferral, R.L.2
McGuire, R.A.3
-
10
-
-
84937730674
-
Explaining the Gibbs sampler
-
doi:10.2307/2685208
-
Casella, G., and E. George (1992), Explaining the Gibbs sampler, Am. Stat., 46, 167-174, doi:10.2307/2685208.
-
(1992)
Am. Stat.
, vol.46
, pp. 167-174
-
-
Casella, G.1
George, E.2
-
11
-
-
51349141022
-
Framework for Understanding Structural Errors (FUSE): A modular framework to diagnose differences between hydrological models
-
doi:10.1029/2007WR006735
-
Clark, M., A. Slater, D. Rupp, R. Woods, J. Vrugt, H. Gupta, T. Wagener, and L. Hay (2008), Framework for Understanding Structural Errors (FUSE): A modular framework to diagnose differences between hydrological models, Water Resour. Res., 44, W00B02, doi:10.1029/ 2007WR006735.
-
(2008)
Water Resour. Res.
, vol.44
-
-
Clark, M.1
Slater, A.2
Rupp, D.3
Woods, R.4
Vrugt, J.5
Gupta, H.6
Wagener, T.7
Hay, L.8
-
12
-
-
0003679224
-
Digital simulation in hydrology: Stanford watershed model IV
-
Dep. of Civil Eng., Stanford Univ., Stanford, Calif
-
Crawford, N., and R. Linsley (1966), Digital simulation in hydrology: Stanford watershed model IV, Tech. Rep. 39, Dep. of Civil Eng., Stanford Univ., Stanford, Calif.
-
(1966)
Tech. Rep. 39
-
-
Crawford, N.1
Linsley, R.2
-
13
-
-
75749139354
-
Uncertainty in river discharge observations: A quantitative analysis
-
doi:10.5194/hess-13-913-2009
-
Di Baldassarre, G., and M. Montanari (2009), Uncertainty in river discharge observations: A quantitative analysis, Hydrol. Earth Syst. Sci., 13, 913-921, doi:10.5194/hess-13-913-2009.
-
(2009)
Hydrol. Earth Syst. Sci.
, vol.13
, pp. 913-921
-
-
Di Baldassarre, G.1
Montanari, M.2
-
14
-
-
77952859980
-
A short exploration of structural noise
-
doi:10.1029/2009WR008377
-
Doherty, J., and D. Welter (2010), A short exploration of structural noise, Water Resour. Res., 46, W05525, doi:10.1029/2009WR008377.
-
(2010)
Water Resour. Res.
, vol.46
-
-
Doherty, J.1
Welter, D.2
-
15
-
-
0028449781
-
Optimal use of the SCE-UA global optimization method for calibrating watershed models
-
Duan, Q., S. Sorooshian, and V. Gupta (1994), Optimal use of the SCE-UA optimization method for calibrating watershed models, J. Hydrol., 158, 265-284, doi:10.1016/0022-1694(94)90057-4. (Pubitemid 281640)
-
(1994)
Journal of Hydrology
, vol.158
, Issue.3-4
, pp. 265-284
-
-
Qingyun Duan1
Sorooshian, S.2
Gupta, V.K.3
-
16
-
-
49449092825
-
Learning from model improvement: On the contribution of complementary data to process understanding
-
doi:10.1029/2007WR006386
-
Fenicia, F., J. J. McDonnell, and H. H. G. Savenije (2008), Learning from model improvement: On the contribution of complementary data to process understanding, Water Resour. Res., 44, W06419, doi:10.1029/ 2007WR006386.
-
(2008)
Water Resour. Res.
, vol.44
-
-
Fenicia, F.1
McDonnell, J.J.2
Savenije, H.H.G.3
-
17
-
-
0001787029
-
Bayesian density estimation by mixture of normal distributions
-
edited by H. Rizvi and J. Rustagi,Academic, New York
-
Ferguson, T. S. (1983), Bayesian density estimation by mixture of normal distributions, in Recent Advances in Statistics, edited by H. Rizvi and J. Rustagi, pp. 287-302, Academic, New York.
-
(1983)
Recent Advances in Statistics
, pp. 287-302
-
-
Ferguson, T.S.1
-
18
-
-
84950453304
-
Sampling based approaches to calculating marginal densities
-
doi:10.2307/2289776
-
Gelfand, A. E., and A. F. M. Smith (1990), Sampling based approaches to calculating marginal densities, J. Am. Stat. Assoc., 85, 398-409, doi:10.2307/2289776.
-
(1990)
J. Am. Stat. Assoc.
, vol.85
, pp. 398-409
-
-
Gelfand, A.E.1
Smith, A.F.M.2
-
19
-
-
0031922634
-
Toward improved calibration of hydrologic models: Multiple and noncommensurable measures of information
-
Gupta, H. V., S. Sorooshian, and P. O. Yapo (1998), Toward improved calibration of hydrologic models: Multiple and noncommensurable measures of information, Water Resour. Res., 34, 751-763, doi:10.1029/ 97WR03495. (Pubitemid 28159454)
-
(1998)
Water Resources Research
, vol.34
, Issue.4
, pp. 751-763
-
-
Gupta, H.V.1
Sorooshian, S.2
Yapo, P.O.3
-
20
-
-
49449115848
-
Reconciling theory with observations: Elements of a diagnostic approach to model evaluation
-
doi:10.1002/hyp.6989
-
Gupta, H., T. Wagener, and Y. Liu (2008), Reconciling theory with observations: Elements of a diagnostic approach to model evaluation, Hydrol. Processes, 22, 3802-3813, doi:10.1002/hyp.6989.
-
(2008)
Hydrol. Processes
, vol.22
, pp. 3802-3813
-
-
Gupta, H.1
Wagener, T.2
Liu, Y.3
-
21
-
-
33646510313
-
Bayesian analysis of input uncertainty in hydrological modeling: 1. Theory
-
doi:10.1029/2005WR004368
-
Kavetski, D., G. Kuczera, and S. Franks (2006), Bayesian analysis of input uncertainty in hydrological modeling: 1. Theory, Water Resour. Res., 42, W03407, doi:10.1029/2005WR004368.
-
(2006)
Water Resour. Res.
, vol.42
-
-
Kavetski, D.1
Kuczera, G.2
Franks, S.3
-
22
-
-
0035648165
-
Bayesian calibration of computer models
-
doi:10.1111/1467-9868.00294
-
Kennedy, M., and A. O'Hagan (2001), Bayesian calibration of computer models, J. R. Stat. Soc., B, 63(3), 425-464, doi:10.1111/1467-9868.00294.
-
(2001)
J. R. Stat. Soc., B
, vol.63
, Issue.3
, pp. 425-464
-
-
Kennedy, M.1
O'Hagan, A.2
-
23
-
-
33750474092
-
Towards a Bayesian total error analysis of conceptual rainfall-runoff models: Characterising model error using storm-dependent parameters
-
DOI 10.1016/j.jhydrol.2006.05.010, PII S0022169406002745
-
Kuczera, G., D. Kavetski, S. Franks, and M. Thyer (2006), Towards a Bayesian total error analysis of conceptual rainfall-runoff models: Characterizing model error using storm-dependent parameters, J. Hydrol., 331, 161-177, doi:10.1016/j.jhydrol.2006.05.010. (Pubitemid 44646456)
-
(2006)
Journal of Hydrology
, vol.331
, Issue.1-2
, pp. 161-177
-
-
Kuczera, G.1
Kavetski, D.2
Franks, S.3
Thyer, M.4
-
24
-
-
0001927585
-
On information and sufficiency
-
doi:10.1214/aoms/1177729694
-
Kullback, S., and R. A. Leibler (1951), On information and sufficiency, Ann. Math. Stat., 22, 79-86, doi:10.1214/aoms/1177729694.
-
(1951)
Ann. Math. Stat.
, vol.22
, pp. 79-86
-
-
Kullback, S.1
Leibler, R.A.2
-
25
-
-
34248166114
-
Verification tools for probabilistic forecasts of continuous hydrological variables
-
Laio, F., and S. Tamea (2007), Verification tools for probabilistic forecasts of continuous hydrological variables, Hydrol. Earth Syst. Sci., 11, 1267-1277, doi:10.5194/hess-11-1267-2007. (Pubitemid 46707033)
-
(2007)
Hydrology and Earth System Sciences
, vol.11
, Issue.4
, pp. 1267-1277
-
-
Laio, F.1
Tamea, S.2
-
26
-
-
0028602239
-
A simple hydrologically based model of land surface water and energy fluxes for general circulation models
-
doi:10.1029/94JD00483
-
Liang, X., D. Lettenmaier, E. Wood, and S. Burges (1994), A simple hydrologically based model of land surface water and energy fluxes for general circulation models, J. Geophys. Res., 99, 14,415-14,428, doi:10.1029/94JD00483.
-
(1994)
J. Geophys. Res.
, vol.99
, pp. 14415-14428
-
-
Liang, X.1
Lettenmaier, D.2
Wood, E.3
Burges, S.4
-
27
-
-
36648998731
-
Uncertainty in hydrologic modeling: Toward an integrated data assimilation framework
-
DOI 10.1029/2006WR005756
-
Liu, Y., and H. Gupta (2007), Uncertainty in hydrologic modeling: Towards an integrated hierarchical data assimilation framework, Water Resour. Res., 43, W07401, doi:10.1029/2006WR005756. (Pubitemid 350194456)
-
(2007)
Water Resources Research
, vol.43
, Issue.7
-
-
Liu, Y.1
Gupta, H.V.2
-
28
-
-
77953706482
-
Impact of uncertain river flow data on rainfall-runoff model calibration and discharge predictions
-
McMillan, H., J. Freer, F. Peppenberger, T. Krueger, and M. Clark (2010), Impact of uncertain river flow data on rainfall-runoff model calibration and discharge predictions, Hydrol. Processes, 24, 1270-1284.
-
(2010)
Hydrol. Processes
, vol.24
, pp. 1270-1284
-
-
McMillan, H.1
Freer, J.2
Peppenberger, F.3
Krueger, T.4
Clark, M.5
-
29
-
-
33846362488
-
The PDM rainfall-runoff model
-
Moore, R. J. (2007), The PDM rainfall-runoff model, Hydrol. Earth Syst. Sci., 11, 483-499, doi:10.5194/hess-11-483-2007. (Pubitemid 46134785)
-
(2007)
Hydrology and Earth System Sciences
, vol.11
, Issue.1
, pp. 483-499
-
-
Moore, R.J.1
-
30
-
-
11944268965
-
Dual state-parameter estimation of hydrological models using ensemble Kalman filter
-
DOI 10.1016/j.advwatres.2004.09.002, PII S0309170804001605
-
Moradkhani, H., S. Sorooshian, H. Gupta, and P. Houser (2005), Dual state-parameter estimation of hydrological models using ensemble Kalman filter, Adv. Water Resour., 28(2), 135-147, doi:10.1016/j. advwatres.2004.09.002. (Pubitemid 40102390)
-
(2005)
Advances in Water Resources
, vol.28
, Issue.2
, pp. 135-147
-
-
Moradkhani, H.1
Sorooshian, S.2
Gupta, H.V.3
Houser, P.R.4
-
31
-
-
0002881872
-
Bayesian curve fitting using multivariate normal mixtures
-
doi:10.1093/biomet/83.1.67
-
Muller, P., A. Erkanli, and M. West (1996), Bayesian curve fitting using multivariate normal mixtures, Biometrika, 83(1), 67-79, doi:10.1093/ biomet/83.1.67.
-
(1996)
Biometrika
, vol.83
, Issue.1
, pp. 67-79
-
-
Muller, P.1
Erkanli, A.2
West, M.3
-
32
-
-
0348225037
-
Maximum likelihood Bayesian averaging of uncertain model predictions
-
DOI 10.1007/s00477-003-0151-7
-
Neuman, S. (2003), Maximum likelihood Bayesian averaging of uncertain model predictions, Stochastic Environ. Res. Risk Assess., 17, 291-305. (Pubitemid 38013163)
-
(2003)
Stochastic Environmental Research and Risk Assessment
, vol.17
, Issue.5
, pp. 291-305
-
-
Neuman, S.P.1
-
33
-
-
77957809000
-
Iterative solution of nonlinear equations in several variables
-
Philadelphia, Penn.,doi:10.1137/1.9780898719468
-
Ortega, J. M., and W. C. Rheinboldt (2000), Iterative Solution of Nonlinear Equations in Several Variables, Soc. for Indust. and Appl. Math., Philadelphia, Penn., doi:10.1137/1.9780898719468.
-
(2000)
Soc. for Indust. and Appl. Math.
-
-
Ortega, J.M.1
Rheinboldt, W.C.2
-
34
-
-
0141682120
-
Improvement of a parsimonious model for streamflow simulation
-
DOI 10.1016/S0022-1694(03)00225-7
-
Perrin, C., C. Michel, and V. Andreassian (2003), Improvement of a parsimonious model for streamflow simulation, J. Hydrol., 279, 275-289, doi:10.1016/S0022-1694(03)00225-7. (Pubitemid 37143319)
-
(2003)
Journal of Hydrology
, vol.279
, Issue.1-4
, pp. 275-289
-
-
Perrin, C.1
Michel, C.2
Andreassian, V.3
-
35
-
-
72149112778
-
Analyzing input and structural uncertainty of nonlinear dynamic models with stochastic, time-dependent parameters
-
doi:10.1029/2009WR007814
-
Reichert, P., and J. Mieleitner (2009), Analyzing input and structural uncertainty of nonlinear dynamic models with stochastic, time-dependent parameters, Water Resour. Res., 45, W10402, doi:10.1029/2009WR007814.
-
(2009)
Water Resour. Res.
, vol.45
-
-
Reichert, P.1
Mieleitner, J.2
-
36
-
-
77950177246
-
Understanding predictive uncertainty in hydrological modeling: The challenge of identifying input and structural errors
-
doi:10.1029/2009WR008328
-
Renard, B., D. Kavetski, G. Kuczera, M. Thyer, and S. Franks (2010), Understanding predictive uncertainty in hydrological modeling: The challenge of identifying input and structural errors, Water Resour. Res., 46, W05521, doi:10.1029/2009WR008328.
-
(2010)
Water Resour. Res.
, vol.46
-
-
Renard, B.1
Kavetski, D.2
Kuczera, G.3
Thyer, M.4
Franks, S.5
-
39
-
-
0019227508
-
Stochastic parameter estimation procedures for hydrologic rainfall-runoff models: Correlated and heteroscedastic error cases
-
doi:10.1029/WR016i002p00430
-
Sorooshian, S., and J. A. Dracup (1980), Stochastic parameter estimation procedures for hydrologic rainfall-runoff models: Correlated and heteroscedastic error cases, Water Resour. Res., 16, 430-442, doi:10.1029/ WR016i002p00430.
-
(1980)
Water Resour. Res.
, vol.16
, pp. 430-442
-
-
Sorooshian, S.1
Dracup, J.A.2
-
40
-
-
0021084897
-
Evaluation of maximum likelihood parameter estimation techniques for conceptual rainfall-runoff models: influence of calibration data variability and length on model credibility
-
Sorooshian, S., V. K. Gupta, and J. L. Fulton (1983), Evaluation of maximum likelihood parameter estimation techniques for conceptual rainfallrunoff models: Influence of calibration data variability and length on model credibility, Water Resour. Res., 19, 251-259, doi:10.1029/ WR019i001p00251. (Pubitemid 14256109)
-
(1983)
Water Resources Research
, vol.19
, Issue.1
, pp. 251-259
-
-
Sorooshian, S.1
Gupta, V.K.2
Fulton, J.L.3
-
41
-
-
0004020258
-
Tools for statistical inference
-
edited by J. Berger et al. Springer, New York
-
Tanner, M. (1991), Tools for Statistical Inference, Lect. Notes Stat., vol. 67, edited by J. Berger et al., Springer, New York.
-
(1991)
Lect. Notes Stat.
, vol.67
-
-
Tanner, M.1
-
42
-
-
84950758368
-
The calculation of posterior distributions by data augmentation
-
doi:10.2307/2289457
-
Tanner, M., and W. Wong (1987), The calculation of posterior distributions by data augmentation, J. Am. Stat. Assoc., 82(392), 528-540, doi:10.2307/2289457.
-
(1987)
J. Am. Stat. Assoc.
, vol.82
, Issue.392
, pp. 528-540
-
-
Tanner, M.1
Wong, W.2
-
43
-
-
0034794967
-
Bayesian recursive parameter estimation for hydrologic models
-
DOI 10.1029/2000WR900405
-
Thiemann, M., M. Trosset, H. Gupta, and S. Sorooshian (2001), Recursive Bayesian inference for hydrologic models, Water Resour. Res., 37, 2521-2535, doi:10.1029/2000WR900405. (Pubitemid 32908202)
-
(2001)
Water Resources Research
, vol.37
, Issue.10
, pp. 2521-2535
-
-
Thiemann, M.1
Trosset, M.2
Gupta, H.3
Sorooshian, S.4
-
44
-
-
57049099445
-
Treatment of input uncertainty in hydrologic modeling: Doing hydrology backward with Markov chain Monte Carlo simulation
-
doi:10.1029/2007WR006720, [printed 45(122009]
-
Vrugt, J., C. ter Braak, M. Clark, J. Hyman, and B. Robinson (2008), Treatment of input uncertainty in hydrologic modeling: Doing hydrology backward with Markov chain Monte Carlo simulation, Water Resour. Res., 44, W00B09, doi:10.1029/2007WR006720, [printed 45(12), 2009].
-
(2008)
Water Resour. Res.
, vol.44
-
-
Vrugt, J.1
Ter Braak, C.2
Clark, M.3
Hyman, J.4
Robinson, B.5
-
45
-
-
0034902122
-
A framework for development and application of hydrological models
-
doi:10.5194/hess-5-13-2001
-
Wagener, T., D. P. Boyle, M. J. Lees, H. S. Wheater, H. V. Gupta, and S. Sorooshian (2001), A framework for development and application of hydrological models, Hydrol. Earth Syst. Sci., 5, 13-26, doi:10.5194/ hess-5-13-2001.
-
(2001)
Hydrol. Earth Syst. Sci.
, vol.5
, Issue.13-26
-
-
Wagener, T.1
Boyle, D.P.2
Lees, M.J.3
Wheater, H.S.4
Gupta, H.V.5
Sorooshian, S.6
-
46
-
-
4143147546
-
-
Imperial Coll. Press, London,doi:10.1142/9781860945397
-
Wagener, T., H. S. Wheater, and H. V. Gupta (2004), Rainfall-Runoff Modeling in Gauged and Ungauged Catchments, Imperial Coll. Press, London, doi:10.1142/9781860945397.
-
(2004)
Rainfall-Runoff Modeling in Gauged and Ungauged Catchments
-
-
Wagener, T.1
Wheater, H.S.2
Gupta, H.V.3
-
47
-
-
34248634615
-
A Bayesian tutorial for data assimilation
-
DOI 10.1016/j.physd.2006.09.017, PII S016727890600354X, Data Assimilation
-
Wikle, C., and L. Berliner (2007), A Bayesian tutorial for data assimilation, Physica D, 230, 1-16, doi:10.1016/j.physd.2006.09.017. (Pubitemid 46776909)
-
(2007)
Physica D: Nonlinear Phenomena
, vol.230
, Issue.1-2
, pp. 1-16
-
-
Wikle, C.K.1
Berliner, L.M.2
-
48
-
-
77955054926
-
Forecasting skill of model averages
-
Winter, C., and D. Nychka (2010), Forecasting skill of model averages, Stochastic Environ. Res. Risk Assess., 24, 633-638.
-
(2010)
Stochastic Environ. Res. Risk Assess.
, vol.24
, pp. 633-638
-
-
Winter, C.1
Nychka, D.2
-
49
-
-
2942755992
-
Nonlocal and localized analyses of conditional mean transient flow in bounded, randomly heterogeneous porous media
-
doi:10.1029/2003WR002099
-
Ye, M., S. P. Neuman, A. Guadagnini, and D. M. Tartakovsky (2004), Nonlocal and localized analyses of conditional mean transient flow in bounded, randomly heterogeneous porous media, Water Resour. Res., 40, W05104, doi:10.1029/2003WR002099.
-
(2004)
Water Resour. Res.
, vol.40
-
-
Ye, M.1
Neuman, S.P.2
Guadagnini, A.3
Tartakovsky, D.M.4
-
50
-
-
0001891299
-
Data-based mechanistic modelling and validation of rainfall-flow processes
-
edited by M. G. Anderson and P. G. Bates,John Wiley, Chichester, U. K
-
Young, P. C. (2001), Data-based mechanistic modelling and validation of rainfall-flow processes, in Model Validation, edited by M. G. Anderson and P. G. Bates, pp. 117-161, John Wiley, Chichester, U. K.
-
(2001)
Model Validation
, pp. 117-161
-
-
Young, P.C.1
-
51
-
-
0028667417
-
Data-based mechanistic modelling and the rainfall-flow non-linearity
-
Young, P. C., and K. J. Beven (1994), Data-based mechanistic modelling and the rainfall-flow nonlinearity, Environmetrics, 5, 335-363, doi:10.1002/env.3170050311. (Pubitemid 290128)
-
(1994)
Environmetrics
, vol.5
, Issue.3
, pp. 335-363
-
-
Young, P.C.1
Bevan, K.J.2
|