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Residuals in nonlinear regressionCOOK, R. D; CHIH-LING TSAI.Biometrika. 1985, Vol 72, Num 1, pp 23-29, issn 0006-3444Article

Some topics in regressionJOHANSEN, S.Scandinavian journal of statistics. 1983, Vol 10, Num 3, pp 161-194, issn 0303-6898Article

A program based on a 'selective' least-squares method for respiratory mechanics monitoring in ventilated patientsEBERHARD, André; CARRY, Pierre-Yves; PERDRIX, Jean-Pierre et al.Computer methods and programs in biomedicine. 2003, Vol 71, Num 1, pp 39-61, issn 0169-2607, 23 p.Article

Non-linear regression with discrete explanatory variables, with an application to the earnings functionBIERENS, H. J; HARTOG, J.Journal of econometrics. 1988, Vol 38, Num 3, pp 269-299, issn 0304-4076Article

The appropriateness of the asymptotic distribution in a nonlinear regression model in relation to curvatureHOUGAARD, P.Journal of the Royal Statistical Society. Series B. Methodological. 1985, Vol 47, Num 1, pp 103-114, issn 0035-9246Article

Correction factors for F ratios in nonlinear regressionHAMILTON, D; WIENS, D.Biometrika. 1987, Vol 74, Num 2, pp 423-425, issn 0006-3444Article

The residual process for non-linear regressionMACNEILL, I. B; JANDHYALA, V. K.Journal of applied probability. 1985, Vol 22, Num 4, pp 957-963, issn 0021-9002Article

Removal of pesticides from aqueous solution : Quantitative relationship between activated carbon characteristics and adsorption propertiesCOUGNAUD, A; FAUR, C; LE CLOIREC, P et al.Environmental technology. 2005, Vol 26, Num 8, pp 857-866, issn 0959-3330, 10 p.Article

Evolution and revolution: Gauging the impact of technological and technical innovation on Olympic performanceBALMER, Nigel; PLEASENCE, Pascoe; NEVILL, Alan et al.Journal of sports sciences (Print). 2012, Vol 30, Num 11, pp 1075-1083, issn 0264-0414, 9 p.Article

La régression. Nouveaux regards sur une ancienne méthode statistique = The regression: A new look on an old statistical methodTOMASSONE, Richard; LESQUOY, Elisabeth; MILLIER, Claude et al.1983, Num 13, 180 p.Serial Issue

On the use of linearized pseudo-second-order kinetic equations for modeling adsorption systemsEL-KHAIARY, Mohammad I; MALASH, Gihan F; HO, Yuh-Shan et al.Desalination (Amsterdam). 2010, Vol 257, Num 1-3, pp 93-101, issn 0011-9164, 9 p.Article

Comparison of various error functions in predicting the optimum isotherm by linear and non-linear regression analysis for the sorption of basic red 9 by activated carbonVASANTH KUMAR, K; PORKODI, K; ROCHA, F et al.Journal of hazardous materials. 2008, Vol 150, Num 1, pp 158-165, issn 0304-3894, 8 p.Article

Pseudo-second order models for the adsorption of safranin onto activated carbon : Comparison of linear and non-linear regression methodsVASANTH KUMAR, K.Journal of hazardous materials. 2007, Vol 142, Num 1-2, pp 564-567, issn 0304-3894, 4 p.Article

Pseudo second order kinetics and pseudo isotherms for malachite green onto activated carbon : Comparison of linear and non-linear regression methodsVASANTH KUMAR, K; SIVANESAN, S.Journal of hazardous materials. 2006, Vol 136, Num 3, pp 721-726, issn 0304-3894, 6 p.Article

A note on the inverse-partitioned-matrix method in linear regression analysisDRYGAS, H.Linear algebra and its applications. 1985, Vol 67, pp 275-277, issn 0024-3795Article

Prediction of Key Points of Water-oil Relative Permeability Curves Using the Linear Regression TechniqueROGHANIAN, R; REZA RASAEI, M; HAGHIGHI, M et al.Petroleum science and technology. 2012, Vol 30, Num 5-8, pp 518-533, issn 1091-6466, 16 p.Article

Kinetics model for combined (alkaline + ultrasonic) sludge disintegrationCHUNLING LI; GUANGFEI LIU; RUOFEI JIN et al.Bioresource technology. 2010, Vol 101, Num 22, pp 8555-8557, issn 0960-8524, 3 p.Article

Determinants of possession of the ball in soccerLAGO, Carlos; MARTIN, Rafael.Journal of sports sciences (Print). 2007, Vol 25, Num 9, pp 969-974, issn 0264-0414, 6 p.Article

Using linear and non-linear regression to fit biochemical dataLEATHERBARROW, R. J.Trends in biochemical sciences (Amsterdam. Reference ed.). 1990, Vol 15, Num 12, pp 455-458, issn 0376-5067Article

The encompassing principle and its application to testing non-nested hypothesesMIZON, G. E; RICHARD, J.-F.Econometrica. 1986, Vol 54, Num 3, pp 657-678, issn 0012-9682Article

Least absolute value estimation in regression models: an annotated bibliographyDIELMAN, T. E; SPOSITO, V. A.Communications in statistics. Theory and methods. 1984, Vol 13, Num 4, pp 513-541, issn 0361-0926Article

Comparison of multiple linear regression and artificial neural network in developing the objective functions of the orthopaedic screwsHSU, Ching-Chi; LIN, Jinn; CHAO, Ching-Kong et al.Computer methods and programs in biomedicine (Print). 2011, Vol 104, Num 3, pp 341-348, issn 0169-2607, 8 p.Article

Prediction of daily peak electricity demand in South Africa using volatility forecasting modelsSIGAUKE, C; CHIKOBVU, D.Energy economics. 2011, Vol 33, Num 5, pp 882-888, issn 0140-9883, 7 p.Article

Marginal curvatures and their usefulness in the analysis of nonlinear regression modelsCLARKE, G. P. Y.Journal of the American Statistical Association. 1987, Vol 82, Num 399, pp 844-850, issn 0162-1459Article

Jackknife-based estimators and confidence regions in nonlinear regressionSIMONOFF, J. S; CHIH-LING TSAI.Technometrics. 1986, Vol 28, Num 2, pp 103-112, issn 0040-1706Article

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