Fitting of SETAR Three-regime nonlinear time series model to Indian lac production data through genetic algorithm


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Authors

  • M A IQUEBAL
  • HIMADRI GHOSH
  • PRAJNESHU PRAJNESHU

Keywords:

Forecasting, Genetic algorithm, Normalized Akaike information criterion, Nonlinear timeseries model, SETAR three-regime model

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Author Biographies

  • M A IQUEBAL
    Scientist, Centre for Agricultural Bioinformatics, Indian Agricultural Statistics Research Institute, New Delhi 110 012

  • HIMADRI GHOSH
    Senior Scientist, Indian Agricultural Statistics Research Institute, New Delhi 110 012

  • PRAJNESHU PRAJNESHU
    Principal Scientist and Head, Division of Statistical
    Genetics, Indian Agricultural Statistics Research Institute, New Delhi 110 012

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Issue

Vol. 83 No. 12 (2013)

Section

Short-Communication

License

The copyright of the articles published in The Indian Journal of Agricultural Sciences is vested with the Indian Council of Agricultural Research, which reserves the right to enter into any agreement with any organization in India or abroad, for reprography, photocopying, storage and dissemination of information. The Council has no objection to using the material, provided the information is not being utilized for commercial purposes and wherever the information is being used, proper credit is given to ICAR.

How to Cite

IQUEBAL, M. A., GHOSH, H., & PRAJNESHU, P. (2013). Fitting of SETAR Three-regime nonlinear time series model to Indian lac production data through genetic algorithm. The Indian Journal of Agricultural Sciences, 83(12). https://epubs.icar.org.in/index.php/IJAgS/article/view/35973