Assessment of the adequacy of mathematical models

Agricultural Systems - Tập 89 Số 2-3 - Trang 225-247 - 2006
L. O. Tedeschi1
1Department of Animal Science, Texas A&M University, 230 Kleberg Center, 2471 TAMU, College Station, TX 77843-2371, United States

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Agresti, 1996

Agresti, 2002

Analla, 1998, Model validation through the linear regression fit to actual versus predicted values, Agricultural Systems, 57, 115, 10.1016/S0308-521X(97)00073-5

Bibby, 1977

Burnham, 2002

Byers, F.M., Schelling, G.T., Greene, L.W., 1989. Development of growth functions to describe energy density of growth in beef cattle. In: van-der Honing, Y., Close, W.H. (Eds.), Proceedings of Energy Metabolism of Farm Animals, 11. Pudoc. 43, pp. 195–198.

Cochran, 1957

Cohen, 1960, A coefficient of agreement for nominal scales, Educational and Psychological Measurement, 20, 37, 10.1177/001316446002000104

Cohen, 1968, Weighted kappa: normal scale agreement with provision for scaled disagreement or partial credit, Psychological Bulletin, 70, 213, 10.1037/h0026256

D’Agostino, 1986

Dent, 1979

Dhanoa, 1999, Use of mean square prediction error analysis and reproducibility measures to study near infrared calibration equation performance, Journal of Near Infrared Spectroscopy, 7, 133, 10.1255/jnirs.244

Efron, 1979, Bootstrap methods: another data look at the jacknife, The Annals of Statistics, 7, 1, 10.1214/aos/1176344552

Efron, 1983, Estimating the error rate of a prediction rule: improvement on cross-validation, Journal of American Statistical Association, 78, 316, 10.2307/2288636

Forrester, 1961

Fox, 2004, The Cornell Net Carbohydrate and Protein System model for evaluating herd nutrition and nutrient excretion, Animal Feed Science and Technology, 112, 29, 10.1016/j.anifeedsci.2003.10.006

Gauch, 2003, Model evaluation by comparison of model-based predictions and measured values, Agronomy Journal, 95, 1442, 10.2134/agronj2003.1442

Green, 1986, Criteria for comparison of single event models, Journal of Hydrology Sciences, 31, 395, 10.1080/02626668609491056

Gunst, 1980

Hamilton, 1991, Model validation: an annotated bibliography, Communications in Statistics: Theory & Methods, 20, 2207, 10.1080/03610929108830628

Harrison, 1990, Regression of a model on real-system output: an invalid test of model validity, Agricultural Systems, 34, 183, 10.1016/0308-521X(90)90083-3

Harrison, 1991, Validation of agricultural expert systems, Agricultural Systems, 35, 265, 10.1016/0308-521X(91)90159-8

Hedges, 1985

Hunter, 1990

Isobe, 1990, Linear regression in astronomy. I, The Astrophysical Journal, 364, 104, 10.1086/169390

Jefferys, 1980, On the method of least squares, The Astronomical Journal, 85, 177, 10.1086/112659

Jefferys, 1981, On the method of least squares. II, The Astronomical Journal, 86, 149, 10.1086/112868

Jefferys, 1988, Erratum: “On the method of least squares”, The Astronomical Journal, 95, 1299, 10.1086/114727

Jefferys, 1988, Erratum: “On the method of least squares. II”, The Astronomical Journal., 95, 1300, 10.1086/114728

Johnson, 2001, Validating and evaluating models, 105

Kleijnen, 1987

Kleijnen, 1998, Validation of trace-driven simulation models: a novel regression test, Management Science, 44, 812, 10.1287/mnsc.44.6.812

Kobayashi, 2000, Comparing simulated and measured values using mean squared deviation and its components, Agronomy Journal, 92, 345, 10.2134/agronj2000.922345x

Kohn, 1998, Evaluation of models for balancing the protein requirements of dairy cows, Journal Dairy Science, 81, 3402, 10.3168/jds.S0022-0302(98)75904-1

Kolmogoroff, 1933, Sulla determinazione empirica di una legge di distribuzione, Giornale dell’Istituto Italiano degli Attuari, 4, 83

Kvålseth, 1985, Cautionary note about R2, The American Statistician, 39, 279, 10.2307/2683704

Liao, 2003, An improved concordance correlation coefficient, Pharmaceutical Statistics, 2, 253, 10.1002/pst.52

Liao, 2000, A note on concordance correlation coefficient, PDA Journal of Pharmaceutical Science and Technology, 54, 23

Lin, 1989, A concordance correlation coefficient to evaluate reproducibility, Biometrics, 45, 255, 10.2307/2532051

Lin, 1992, Assay validation using the concordance correlation coefficient, Biometrics, 48, 599, 10.2307/2532314

Littell, 1999

Loague, 1991, Statistical and graphical methods for evaluating solute transport models: Overview and application, Journal of Contaminant Hydrology, 7, 51, 10.1016/0169-7722(91)90038-3

Lybanon, 1984, A better least-squares method when both variables have uncertainties, American Journal of Physics, 52, 22, 10.1119/1.13822

Mayer, 1993, Statistical validation, Ecological Modelling, 68, 21, 10.1016/0304-3800(93)90105-2

Mayer, 1994, Regression of real-world data on model output: an appropriate overall test of validity, Agricultural Systems, 45, 93, 10.1016/S0308-521X(94)90282-8

Mitchell, 1997, Misuse of regression for empirical validation of models, Agricultural Systems, 54, 313, 10.1016/S0308-521X(96)00077-7

Mitchell, 1997, Comparison of predictions and observations to assess model performance: a method of empirical validation, 437

Neter, 1996

Nickerson, 1997, A note on “A concordance correlation coefficient to evaluate reproducibility”, Biometrics, 53, 1503, 10.2307/2533516

Oreskes, 1994, Verification, validation, and confirmation of numerical models in the earth sciences, Science, 263, 641, 10.1126/science.263.5147.641

Picard, 1984, Cross-validation of regression models, Journal of the American Statistical Association, 79, 575, 10.2307/2288403

Press, 1992

Reed, 1989, Linear least-squares fits with errors in both coordinates, American Journal of Physics, 57, 642, 10.1119/1.15963

Reed, 1990, Erratum: “Linear least-squares fits with errors in both coordinates”, American Journal of Physics, 58, 189, 10.1119/1.16506

Reed, 1992, Linear least-squares fits with errors in both coordinates. II: Comments on parameter variances, American Journal of Physics, 60, 59, 10.1119/1.17044

Reynolds, 1982, Comparison of some tests for validation of stochastic simulation models, Communications in Statistics – Simulation and Computation, 11, 769, 10.1080/03610918208812294

Robinson, 2005, Assessing the accuracy of modelling weight gain of cattle using feed efficiency data, Livestock Production Science, 95, 187, 10.1016/j.livprodsci.2004.12.016

Robinson, 2005, Accounting for bias in regression coefficients with example from feed efficiency, Livestock Production Science, 95, 155, 10.1016/j.livprodsci.2004.12.017

Shaeffer, 1980, A model evaluation methodology applicable to environmental assessment models, Ecological Modelling, 8, 275, 10.1016/0304-3800(80)90042-3

Shapiro, 1965, An analysis of variance test for normality (complete samples), Biometrika, 52, 591, 10.1093/biomet/52.3-4.591

Smirnov, 1933, Estimate of deviation between empirical distribution functions in two independent samples, Moscow University Mathematics Bulletin, 2, 3

Squire, 1990, Comment on “Linear least-squares fits with errors in both coordinates”, American Journal of Physics, 58, 1209, 10.1119/1.16204

St-Pierre, 2001, Integrating quantitative findings from multiple studies using mixed models methodology, Journal Dairy Science, 84, 741, 10.3168/jds.S0022-0302(01)74530-4

Sterman, 2000

Sterman, 2002, All models are wrong: reflections on becoming a system scientist, System Dynamics Review, 18, 501, 10.1002/sdr.261

Tedeschi, 2000, Accounting for the effects of a ruminal nitrogen deficiency within the structure of the Cornell net carbohydrate and protein system, Journal of Animal Science, 78, 1648, 10.2527/2000.7861648x

Tedeschi, 2004, A decision support system to improve individual cattle management. 1. A mechanistic, dynamic model for animal growth, Agricultural Systems, 79, 171, 10.1016/S0308-521X(03)00070-2

Theil, 1961, Economic forecasts and policy, 6

Traxler, 1998, Predicting forage indigestible NDF from lignin concentration, Journal of Animal Science, 76, 1469, 10.2527/1998.7651469x

Wallach, 1987, Mean square error of prediction in models for studying ecological and agronomic systems, Biometrics, 43, 561, 10.2307/2531995

Wallach, 1989, Mean squared error of prediction as a criterion for evaluating and comparing system models, Ecological Modelling, 44, 299, 10.1016/0304-3800(89)90035-5

Waller, 2003, Monte Carlo assessments of goodness-of-fit for ecological simulation models, Ecological Modelling, 164, 49, 10.1016/S0304-3800(03)00011-5

Zacharias, 1996, Robust quantitative techniques for validating pesticide transport models, Transactions of the ASAE (American Society of Agricultural Engineers), 39, 47, 10.13031/2013.27479