Fitting a non-linear model with errors in both variables and its application

    Singh, M and Kanji, G K (1988) Fitting a non-linear model with errors in both variables and its application. Journal of Applied Statistics, 15 (3). pp. 267-274. ISSN 0266-4763

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    Abstract

    Estimation of the parameters of a non-linear model is considered when both measured variables have random errors. The maximum likelihood estimates with the asymptotic variance and covariance matrix are presented. Real data are used to illustrate the procedure discussed

    Item Type: Article
    Divisions: UNSPECIFIED
    CRP: UNSPECIFIED
    Subjects: Others > Genetics and Genomics
    Depositing User: Mr Charan Sai Ch
    Date Deposited: 08 Nov 2011 13:02
    Last Modified: 08 Nov 2011 13:02
    URI: http://oar.icrisat.org/id/eprint/3750
    Official URL: http://dx.doi.org/10.1080/02664768800000037
    Projects: UNSPECIFIED
    Funders: UNSPECIFIED
    Acknowledgement: Authors are grateful to Dr G. Alagarswamy, Millet Physiologist for providing the data for illustration. Thanks are also due to Mr Bruce Gilliver, Principal Statistician, Drs A. K. S. Huda, Agroclimatologist, V. M. Rarnraj, Groundnut Physiologist and F. R. Bidinger, 'Principal Millet Physiologist for their helpful comments and Mr C. P. Jaiswal for Secretarial assistance.
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