Nonparametric regression estimation of growth rate of India’s fish production and export

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dc.contributor.authorJoshy, C.G.
dc.contributor.authorBalakrishna, N.
dc.contributor.authorRavishankar, C.N.
dc.date.accessioned2018-07-27T07:00:55Z
dc.date.available2018-07-27T07:00:55Z
dc.date.issued2017
dc.description.abstractMechanistic growth models, parametric and nonparametric regression models were used to estimate the trend and growth rate of fish production in India during the period 1980 to 2014 and fish export during the period 1960 to 2014. It was found that parametric and mechanistic growth models produced high R2 values and low RMSE, but error terms of fitted models were not independent. The local polynomial regression of order one was fitted to the data and found to be the best model to estimate the trend of fish production and export over the decades. Nonparametric regression approach used to estimate the compound growth rate of fish production and export efficiently compared to parametric and mechanistic growth models.en_US
dc.identifier.citationFishery Technology 54(2):128-136en_US
dc.identifier.urihttp://hdl.handle.net/123456789/3864
dc.language.isoenen_US
dc.publisherSociety of Fishery Technologists (India)en_US
dc.titleNonparametric regression estimation of growth rate of India’s fish production and exporten_US
dc.typeArticleen_US
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