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Moore, R. D., Rowland, J. D. (1990) EVALUATION OF MODEL PERFORMANCE WHEN THE OBSERVED DATA ARE SUBJECT TO ERROR. Physical Geography, 11 (4). 379-392 doi:10.1080/02723646.1990.10642414

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Reference TypeJournal (article/letter/editorial)
TitleEVALUATION OF MODEL PERFORMANCE WHEN THE OBSERVED DATA ARE SUBJECT TO ERROR
JournalPhysical Geography
AuthorsMoore, R. D.Author
Rowland, J. D.Author
Year1990 (October)Volume11
Issue4
PublisherInforma UK Limited
DOIdoi:10.1080/02723646.1990.10642414Search in ResearchGate
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Mindat Ref. ID7615536Long-form Identifiermindat:1:5:7615536:3
GUID0
Full ReferenceMoore, R. D., Rowland, J. D. (1990) EVALUATION OF MODEL PERFORMANCE WHEN THE OBSERVED DATA ARE SUBJECT TO ERROR. Physical Geography, 11 (4). 379-392 doi:10.1080/02723646.1990.10642414
Plain TextMoore, R. D., Rowland, J. D. (1990) EVALUATION OF MODEL PERFORMANCE WHEN THE OBSERVED DATA ARE SUBJECT TO ERROR. Physical Geography, 11 (4). 379-392 doi:10.1080/02723646.1990.10642414
In(1990, October) Physical Geography Vol. 11 (4) Informa UK Limited

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Muller, R. A., Keim, B. D., Hoff, J. L. (1990) APPLICATION OF CLIMATIC DIVISIONAL DATA TO FLOOD INTERPRETATIONS: AN EXAMPLE FROM LOUISIANA. Physical Geography, 11 (4). 353-362 doi:10.1080/02723646.1990.10642412
Al-Nasser, Amjad D. (2014) Two steps generalized maximum entropy estimation procedure for fitting linear regression when both covariates are subject to error. Journal of Applied Statistics, 41 (8). 1708-1720 doi:10.1080/02664763.2014.888544
Roy, Surupa, Banerjee, Tathagata (2009) Analysis of Misclassified Correlated Binary Data Using a Multivariate Probit Model when Covariates are Subject to Measurement Error. Biometrical Journal, 51 (3). 420-432 doi:10.1002/bimj.200800127
Madansky, Albert (1959) The Fitting of Straight Lines when Both Variables are Subject to Error. Journal of the American Statistical Association, 54 (285). 173-205 doi:10.1080/01621459.1959.10501505
Prato, Anthony A. (1970) Measurement of Citrus Demands When all Variables are Subject to Error. Journal of the American Statistical Association, 65 (331). 1146-1158 doi:10.1080/01621459.1970.10481150
Halperin, Max (1964) Interval Estimation in Linear Regression When Both Variables are Subject to Error. Journal of the American Statistical Association, 59 (308). 1112-1120 doi:10.1080/01621459.1964.10480752
Rod, Vladimír, HanČl, Vladislay (1980) Iterative estimation of model parameters when measurements of all variables are subject to error. Computers & Chemical Engineering, 4. 33-38 doi:10.1016/0098-1354(80)80011-1
Halperin, Max (1961) Fitting of Straight Lines and Prediction When Both Variables are Subject to Error. Journal of the American Statistical Association, 56 (295). 657-669 doi:10.1080/01621459.1961.10480651
Ware, James H. (1972) The Fitting of Straight Lines When both Variables are Subject to Error and the Ranks of the Means are Known. Journal of the American Statistical Association, 67 (340). 891-897 doi:10.1080/01621459.1972.10481312
Jones, Thomas A. (1979) Fitting straight lines when both variables are subject to error. Journal of the International Association for Mathematical Geology, 11 (1). 1-25 doi:10.1007/bf01043243
McCarthy, Philip J. (1972) The Effects of Discarding Inliars When Binomial Data are Subject to Classification Errors. Journal of the American Statistical Association, 67 (339). 515-529 doi:10.1080/01621459.1972.10481243
 
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