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Statistical modelling for describing fish production in India

Indian Agricultural Research Journals

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Title Statistical modelling for describing fish production in India
 
Creator PRAJNESHU, PRAJNESHU
VENUGOPALAN, R
 
Subject Fish Production, Forecasting, Statistical modelling, Time-series analysis
 
Description Various statistical modelling approaches. viz. polynomial function fitting approach. non-linear mechanistic growth modelling approach, and ARIMA time-series analysis approaches are discussed for describing marine, inland as well as total fish production of the country during 1950-51 to 1994-95. The underlying assumptions are examined by statistically sound procedures. In view oftht; presence oftht; autocorrelations among observations in the 3 data sets, it is found that the ARIMA time-series analysis approach is most appropriate. The identified models are then used to forecast the future fish production.
 
Publisher Directorate of Knowledge Management in Agriculture
 
Contributor —
 
Date 2013-10-24
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
—
 
Format application/pdf
 
Identifier http://epubs.icar.org.in/ejournal/index.php/IJAnS/article/view/34419
 
Source The Indian Journal of Animal Sciences; Vol 67, No 5 (1997)
0367-8318
 
Language eng
 
Relation http://epubs.icar.org.in/ejournal/index.php/IJAnS/article/view/34419/15286
 
Rights Copyright (c) 2014 The Indian Journal of Animal Sciences