Fuzzy von Bertalanffy growth model for determining age-length relationship


171 / 100

Authors

  • V M Kandala Indian Agricultural Statistics Research Institute, New Delhi - 110 012
  • Prajneshu _ Indian Agricultural Statistics Research Institute, New Delhi - 110 012

Abstract

For applying von Bertalanffy growth model, the dependent variable, viz. length is generally assumed to be described by a single number for each age-group of fish. In reality, length corresponding to even-aged fish should be expressed by
an interval. To this end, fuzzy regression methodology is discussed and illustrated with the help of some data on pearl oysters. Importance of using raw data as such rather than converting it into range is also highlighted.

Downloads

Download data is not yet available.

Author Biographies

  • V M Kandala, Indian Agricultural Statistics Research Institute, New Delhi - 110 012
    Indian Agricultural Statistics Research Institute, New Delhi - 110 012
  • Prajneshu _, Indian Agricultural Statistics Research Institute, New Delhi - 110 012
    Indian Agricultural Statistics Research Institute, New Delhi - 110 012

Downloads

Issue

Vol. 51 No. 1 (2004)

Section

Articles

License

The copyright of the articles published in Indian Journal of Fisheries vests with the Indian Council of Agricultural Research, who has the right to enter into any agreement with any organization in India or abroad engaged in reprography, photocopying, storage and dissemination of information contained in these journals. The Council has no objection in using the material, provided the information is being utilized for academic purpose but not for commercial use. Due credit line should be given to the ICAR where information will be utilized.

How to Cite

Kandala, V. M., & _, P. (2011). Fuzzy von Bertalanffy growth model for determining age-length relationship. Indian Journal of Fisheries, 51(1), 55-59. https://epubs.icar.org.in/index.php/IJF/article/view/7145