KRISHI
ICAR RESEARCH DATA REPOSITORY FOR KNOWLEDGE MANAGEMENT
(An Institutional Publication and Data Inventory Repository)
"Not Available": Please do not remove the default option "Not Available" for the fields where metadata information is not available
"1001-01-01": Date not available or not applicable for filling metadata infromation
"1001-01-01": Date not available or not applicable for filling metadata infromation
Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/44692| Title: | Stochastic Modeling of Wholesale Price of Rohu in West Bengal, India |
| Other Titles: | Not Available |
| Authors: | R.K. Paul |
| ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
| Author's Affiliated institute: | ICAR::Central Inland Fisheries Research Institute |
| Published/ Complete Date: | 2010-01-01 |
| Project Code: | Not Available |
| Keywords: | ARIMA model Forecasting Seasonality Stationarity SPSS Wholesale price |
| Publisher: | Not Available |
| Citation: | Not Available |
| Series/Report no.: | Not Available; |
| Abstract/Description: | Among the Indian major carps, rohu (Labeo rohita) is the most widely consumed fish in West Bengal. The wholesale price of rohu in West Bengal fluctuates over seasons due to the variations in production and market arrival. Thus, modelling and forecasting the monthly price behaviour over the years is of much practical importance. To this end, autoregressive integrated moving average (ARIMA) methodology has been successful in describing and forecasting the fishery dynamics of a wide variety of species in the past. In the present study ARIMA stochastic modelling is used for describing monthly wholesale price of rohu in west Bengal. The monthly wholesale price data from January‟ 1996 to December 2004 has been taken for model building and the data from January‟ 2005 to December‟ 2005 has been used for validation of the model. The best ARIMA model is selected based on the minimum Akaike Information Criteria (AIC) and Baysian Information Criteria (BIC) values. It has been found that ARIMA (2,1,1) model described the data satisfactorily with the forecast values lie close to the actual price. The data analysis is carried out using SPSS software package version 18.0 |
| Description: | Not Available |
| ISSN: | Not Available |
| Type(s) of content: | Research Paper |
| Sponsors: | Not Available |
| Language: | English |
| Name of Journal: | Interstat |
| NAAS Rating: | Not Available |
| Page Number: | Not Available |
| Name of the Division/Regional Station: | Not Available |
| Source, DOI or any other URL: | Not Available |
| URI: | http://krishi.icar.gov.in/jspui/handle/123456789/44692 |
| Appears in Collections: | AEdu-IASRI-Publication |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 1011004.pdf | 254.95 kB | Adobe PDF | View/Open |
Items in KRISHI are protected by copyright, with all rights reserved, unless otherwise indicated.