Estimating consumer acceptance limits

References

• Bates , D.M. and Watts , D.G. 1980 . Relative Curvature Measures of Nonlinearity . Journal of the Royal Statistical Society , 42 : 1 – 25 . Series B
   Google Scholar
• Boring , E.G. 1957 . A History of Experimental Psychology , New York : Appleton-Century-Crofts .
   Google Scholar
• Box , G.E.P. and Lucus , H.L. 1959 . Design of Experiments in Nonlinear Estimation . Biometrika , 46 : 77 – 90 .
   Web of Science ®Google Scholar
• Chambers , J. 1973 . Fitting Nonlinear Models:Numerical Techniques . Biometrika , 60 : 1 – 13 .
   Web of Science ®Google Scholar
• Cochran , W.G. and Cox , G.M. 1957 . Experimental Designs , New York : John Wiley .
   Google Scholar
• Daniel , C. and Wood , F.S. 1971 . Fitting Equations to Data , New York : John Wiley .
   Google Scholar
• Deming , W.E. 1960 . Applied Regression Analysis , New York : John Wiley .
   Google Scholar
• Draper , N.R. and Smith , H. 1966 . Applied Regression Analysis , New York : John Wiley .
   Google Scholar
• Efron , B. . The Jackknife, the Footstrap and Other Resampling Plans . CBMS-NSF Regional Conference Series in Applied Mathematics . Vol. 38 ,
   Google Scholar
• Fechner G.T. Elemente der Psychophysik 1860
   Google Scholar
• Gallant , A.R. 1987 . Nonlinear Statistical Models , New York : John Wiley .
   Google Scholar
• Gescheider , G.A. 1985 . Psychophysics:Method, Theory and Application , Hillsdale, New Jersey : Lawrence Erlbaum Associates .
   Google Scholar
• Graybill , F.A. 1961 . An Introduction to Linear Statistical Models , Vol. 1 , New York : McGraw-Hill .
   Google Scholar
• Hartley , H.O. 1950 . The Maximum F Ratio as a Short-Cut Test for Heterogeneity of Variance . Biometrika , 37 : 308 – 312 .
   PubMed Web of Science ®Google Scholar
• Jennrich , R.I. 1969 . Asymptotic Properties of Non-Linear Least Squares Estimators . Annals of Mathematical Statistics , 40 : 633 – 643 .
   Google Scholar
• Johnson , N.L. 1949 . Systems of Frequency Curves Generated by Methods of Translation . Biometrika , 36 : 149 – 176 .
   PubMed Web of Science ®Google Scholar
• Kendall , M.G. and Stuart , A. 1967 . The Advanced Theory of Statistics , Vol. 2 , London : Charles Griffin .
   Google Scholar
• Lavenberg , K. 1944 . A Method for the Solution of Certain Problems in Least Squares . Quarterly Journal of Applied Mathematics , 2 : 164 – 168 .
   Google Scholar
• Malinvaud , E. 1970 . The Consistency of Nonlinear Regressions . Annals of Mathematical Statistics , 41 : 956 – 969 .
   Google Scholar
• Marquardt , D.W. 1963 . An Algorithm for Least-Squares Estimation of Nonlinear Parameters . Journal of the Society for Industrial and Applied Mathematics , 11 : 431 – 441 .
   Google Scholar
• Mood , A.M. , Graybill , F.A. and Boes , D.C. 1974 . Introduction to the Theory of Statistics , New York : McGraw-Hill .
   Google Scholar
• Morgan , C.T. 1965 . Physiological Psychology , New York : McGraw-Hill .
   Google Scholar
• Nash , J.C. and Walker-Smith , M. 1987 . Nonlinear Parameter Estimation , New York : Marcel Dekker .
   Google Scholar
• Patel , J.K. , Kapadia , C.H. and Owen , D.B. 1976 . Handbook of Statistical Distributions , New York : Marcel Dekker .
   Google Scholar
• Peck , R.E. 1966 . The Application of Thymometry to the Measurement of Anxiety . International Journal of Neuropsychiatry , 2 : 337 – 341 .
   PubMed Web of Science ®Google Scholar
• Ralston , M.L. and Jennrich , R.I. 1978 . DUD, A Derivative-Free Algorithm for Nonlinear Least Squares . Technometrics , 20 : 7 – 14 .
   Web of Science ®Google Scholar
• Ratkowsky , D.A. 1983 . Nonlinear Regression Modeling , New York : Marcel Dekker .
   Google Scholar
• SAS . 1985 . Statistical Analysis System User’ Guides , Cary, North Carolina : SAS Institute .
   Google Scholar
• Slifker , J.F. and Shapiro , S.S. 1980 . The Johnson System:Selection and Parameter Estimation . Technometrics , 22 : 239 – 246 .
   Web of Science ®Google Scholar
• Stevens , S.S. 1957 . On the Psychophysical Law . Psychological Review , 64 : 153 – 181 .
   PubMed Web of Science ®Google Scholar
• Stevens , S.S. 1970 . Neural Events and the Psychophysical Law . Science , 170 : 1043 – 1050 .
   PubMed Web of Science ®Google Scholar
• Stevens , S.S. 1971 . “ Sensory Power Function and Neutral Events ” . In Handbook of Sensory Physiology , Edited by: Lowenstein , W.R. Vol. 1 , Berlin : Springer-Verlag .
   Google Scholar
• Terrell , G.R. and Scott , D.W. 1985 . Oversmoothed Nonparametric Density Estimates . Journal of the American Statistical Association , 80 : 209 – 214 .
   Web of Science ®Google Scholar
• Weber E.H. De Tactu:Annotationes Anatomicae et Physiologicae 1834
   Google Scholar
• Zehna , P.W. 1966 . Invariance of Maximum Likelihood Estimators . Annals of Mathematical Statistics , 37 : 755
   Google Scholar
• Zwislocki , J.J. 1983 . Group and Individual Relations Between Sensation Magnitudes and Their Numerical Estimates . Perception and Psychophysics , 33 : 460 – 468 .
   PubMed Web of Science ®Google Scholar