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Stochastic modeling for milk production

The present investigtion was carried out to study the trends in India’s milk production during the period 1990-91 to 2010-2011 based on fuzzy time series and holt-winters non-seasonal time-series models. Model performances have been carried out based on the model performance criteria such as the lower values of mean square error, variability co-efficient (d) and correlation co-efficient (r) of the model. It was found that the holt-winters non-seasonal time-series was found suitable to study the milk production trend.



Real Time Impact Factor: Pending

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Keywords: Window based Fuzzy time series, Mean square error, Variability co-efficient, Holt-Winters non-seasonal model

ISSN: 0976-5646

EISSN: 2231-6442


EOI/DOI: 10.15740/HAS/RJAHDS/9.2/26-35


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