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http://krishi.icar.gov.in/jspui/handle/123456789/40765
Title: | ICAR-IASRI Newsletter, April- June, 2018 |
Other Titles: | Not Available |
Authors: | Director ICAR-IASRI |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | ICAR::Indian Agricultural Statistics Research Institute |
Published/ Complete Date: | 2018-07-01 |
Project Code: | Not Available |
Keywords: | Agricultural Statistics Design of Experiments Sample Surveys Statistical Genetics Forecasting Techniques Bioinformatics Computer Applications |
Publisher: | ICAR-IASRI, New Delhi |
Citation: | Not Available |
Series/Report no.: | Not Available; |
Abstract/Description: | Algorithm for forecasting time series using hybrid model has been developed. The parametric Autoregressive integrated moving average (ARIMA) model and nonparametric Wavelet techniques have been combined for time series forecasting in order to increase the accuracy of the forecast. The IVRI-Artificial Insemination App and Landlly Pig App have been designed and developed jointly by ICAR-IVRI, Izatnagar, UP and ICAR-IASRI, New Delhi. Dairy Manager App designed and developed jointly by ICAR-IVRI, Izatnagar, UP, NDRI, Karnal and ICAR-IASRI, New Delhi is targeted to impart knowledge and skills to Graduating Veterinarians, Field Veterinary Officers, Developmental Organizations and Entrepreneurs for promoting dairy farming. |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | News Letter |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Not Available |
NAAS Rating: | Not Available |
Volume No.: | 23(1) |
Page Number: | 1-19 |
Name of the Division/Regional Station: | Not Available |
Source, DOI or any other URL: | https://iasri.icar.gov.in/wp-content/uploads/2019/12/NLE_Apr_June_2018.pdf |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/40765 |
Appears in Collections: | AEdu-IASRI-Publication |
Files in This Item:
File | Description | Size | Format | |
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Newsletter Apr_June_2018.pdf | 1.2 MB | Adobe PDF | View/Open |
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