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Tolerance bounds for log gamma regression modelsJONES, R. A; SCHOLZ, F. W; OSSIANDER, M et al.Technometrics. 1985, Vol 27, Num 2, pp 109-118, issn 0040-1706Article

The power of approximate tests for the regression coefficients in a gamma regression modelAL-ABOOD, A. M; YOUNG, D. H.IEEE transactions on reliability. 1986, Vol 35, Num 2, pp 216-220, issn 0018-9529Article

Comparing simplification methods for model trees with regression and splitting nodesCECI, Michelangelo; APPICE, Annalisa; MALERBA, Donato et al.Lecture notes in computer science. 2003, pp 49-56, issn 0302-9743, isbn 3-540-20256-0, 8 p.Conference Paper

Statistische Behandlung von Modellen mit fehlerbehafteten Daten = Traitement statistique de modèles avec erreurs dans les variables = Statistical treatment of error-in-variables modelsSCHNEEWEISS, H.Allgemeines statistisches Archiv. 1985, Vol 69, Num 1, pp 106-123, issn 0002-6018Article

Forecast of sugarcane yield using eye estimate alongwith plant charactersAGRAWAL, R; JAIN, R. C.Biometrical journal. 1996, Vol 38, Num 6, pp 731-739, issn 0323-3847Article

All subsets regression in a proportional hazards modelKUK, A. Y. C.Biometrika. 1984, Vol 71, Num 3, pp 587-592, issn 0006-3444Article

Estimation in change-point hazard rate modelsNGUYEN, H. T; ROGERS, G. S; WALKER, E. A et al.Biometrika. 1984, Vol 71, Num 2, pp 299-304, issn 0006-3444Article

Cross-validation of regression modelsPICARD, R. R; COOK, R. D.Journal of the American Statistical Association. 1984, Vol 79, Num 387, pp 575-583, issn 0162-1459Article

Regression models for censored serological dataKAFATOS, George; ANDREWS, Nick; MCCONWAY, Kevin J et al.Journal of medical microbiology. 2013, Vol 62, Num 1, pp 93-100, issn 0022-2615, 8 p.Article

On Predicting the Popularity of Newly Emerging Hashtags in TwitterZONGYANG MA; AIXIN SUN; GAO CONG et al.Journal of the American Society for Information Science and Technology (Print). 2013, Vol 64, Num 7, pp 1399-1410, issn 1532-2882, 12 p.Article

Equivalence and Noninferiority Testing in Regression Models and Repeated-Measures DesignsMASCHA, Edward J; SESSLER, Daniel I.Anesthesia and analgesia. 2011, Vol 112, Num 3, pp 678-687, issn 0003-2999, 10 p.Article

Predictive approaches for sparse model learningSHEVADE, S. K; SUNDARARAJAN, S; KEERTHI, S. S et al.Lecture notes in computer science. 2004, pp 434-439, issn 0302-9743, isbn 3-540-23931-6, 6 p.Conference Paper

Testing for climate change: an application of the two-phase regression modelSOLOW, A. R.Journal of climate and applied meteorology. 1987, Vol 26, Num 10, pp 1401-1405, issn 0733-3021Article

An archaeological inference problemNAYLOR, J. C; SMITH, A. F. M.Journal of the American Statistical Association. 1988, Vol 83, Num 403, pp 588-595, issn 0162-1459Article

The sensitivity of MLE to measurement errorLEVINE, D.Journal of econometrics. 1985, Vol 28, Num 2, pp 223-230, issn 0304-4076Article

On a singularity in the likelihood for a change-point hazard rate modelMATTHEWS, D. E; FAREWELL, V. T.Biometrika. 1985, Vol 72, Num 3, pp 703-704, issn 0006-3444Article

On the relationship between the proportional hazards and accelerated failure time models in survival analysisGUPTA, R. C; MICHALEK, J. E.Statistics & probability letters. 1985, Vol 3, Num 5, pp 231-234, issn 0167-7152Article

Optimum designs under experimental constraints for a covariate model and an intra-class regression modelWIERICH, W.Journal of statistical planning and inference. 1985, Vol 12, Num 1, pp 27-40, issn 0378-3758Article

A derivation of a Useful consequence of the Gauss-Markov theoremKARSON, M. J; KURKJIAN, B. M.The American statistician. 1984, Vol 38, Num 3, pp 202-204, issn 0003-1305Article

The Use and Interpretation of Competing Risks Regression ModelsDIGNAM, James J; QIANG ZHANG; KOCHERGINSKY, Masha et al.Clinical cancer research (Print). 2012, Vol 18, Num 8, pp 2301-2308, issn 1078-0432, 8 p.Article

Model fitting under patterned heterogeneity of varianceGREGOIRE, T. G; DYER, M. E.Forest science. 1989, Vol 35, Num 1, pp 105-125, issn 0015-749XArticle

Asymptotically efficient adaptive control in stochastic regression modelsLAI, T. L.Advances in applied mathematics (Print). 1986, Vol 7, Num 1, pp 23-45, issn 0196-8858Article

Improved deviance goodness of fit statistics for a gamma regression modelAL-ABOOD, A. M; YOUNG, D. H.Communications in statistics. Theory and methods. 1986, Vol 15, Num 6, pp 1865-1874, issn 0361-0926Article

The cubic logistic model for quantal assay dataMORGAN, B. J. T.Applied statistics. 1985, Vol 34, Num 2, pp 105-113, issn 0035-9254Article

A predictive model selection criterionSAN MARTINI, A; SPEZZAFERRI, F.Journal of the Royal Statistical Society. Series B. Methodological. 1984, Vol 46, Num 2, pp 296-303, issn 0035-9246Article

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