DOI Prefix : 10.9780 | Journal DOI : 10.9780/22307850
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Volume : VI, Issue : IV, May - 2016

A NEW ITERATIVE METHOD OF ESTIMATION FOR NONLINEAR REGRESSION MODEL

B. Mahaboob, Dr. G.S.G.N. Anjaneyulu, Dr. B. Venkateswarlu, Dr. R.V.S.S. Nagabhushana Rao, Prof. P. Balasiddamuni, A.V. Prasad.

DOI : 10.9780/22307850, By : Laxmi Book Publication

Abstract :

Nonlinear regression analysis is currently the most fertile area of research in the modern theory of mathematical science. It is a powerful technique for analyzing data described by models which are nonlinear in parameters. These models are two types namely (i) Nonlinear regression models that are intrinsically linear and (ii) Nonlinear regression models that are intrinsically nonlinear.

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    Cite This Article :

    B. Mahaboob, Dr. G.S.G.N. Anjaneyulu, Dr. B. Venkateswarlu, Dr. R.V.S.S. Nagabhushana Rao, Prof. P. Balasiddamuni, A.V. Prasad. (2016). A NEW ITERATIVE METHOD OF ESTIMATION FOR NONLINEAR REGRESSION MODEL. Indian Streams Research Journal, Vol. VI, Issue. IV, DOI : 10.9780/22307850, http://isrj.org/UploadedData/8216.pdf

    References :

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    13. Jenrich, R.I. (1969), Asymptotic properties of nonlinear least square estimators, Annals of Mathematical Statistics, 40, 633-643.
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    18. Levenberg. K. (1944), A method for the solution of certain nonlinear problems in least squares, Quarterly of Applied Mathematics 2, 164-168.
    19. Jenrich, R.I. (1969), Asymptotic properties of nonlinear least square estimators, Annals of Mathematical Statistics, 40, 633-643.
    20. Hartley, H. (1961), The Modified Gauss-Newton Method of the Fitting of Nonlinear Regression Functions by Least Squares, Technometrics, 3 : 269-80.
    21. Goldfeld, S.M and R.E. Quandt (1972), Nonlinear Methods in Econometrics, Amsterdam: North-Holland Publishing Co.
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    26. Levenberg. K. (1944), A method for the solution of certain nonlinear problems in least squares, Quarterly of Applied Mathematics 2, 164-168.
    27. Jenrich, R.I. (1969), Asymptotic properties of nonlinear least square estimators, Annals of Mathematical Statistics, 40, 633-643.
    28. Goldfeld, S.M and R.E. Quandt (1972), Nonlinear Methods in Econometrics, Amsterdam: North-Holland Publishing Co.
    29. Hartley, H. (1961), The Modified Gauss-Newton Method of the Fitting of Nonlinear Regression Functions by Least Squares, Technometrics, 3 : 269-80.
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    32. Goldfeld, S.M and R.E. Quandt (1972), Nonlinear Methods in Econometrics, Amsterdam: North-Holland Publishing Co.

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