KRISHI
ICAR RESEARCH DATA REPOSITORY FOR KNOWLEDGE MANAGEMENT
(An Institutional Publication and Data Inventory Repository)
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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/17629
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | S.Pal | en_US |
dc.contributor.author | Himadri Ghosh | en_US |
dc.date.accessioned | 2019-03-22T09:20:19Z | - |
dc.date.available | 2019-03-22T09:20:19Z | - |
dc.date.issued | 2016-01-01 | - |
dc.identifier.citation | Not Available | en_US |
dc.identifier.issn | Not Available | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/17629 | - |
dc.description | Not Available | en_US |
dc.description.abstract | Compound growth rate is a key indicator of agricultural growth in terms of production or productivity. It has major implication in formulating import and export policy of agricultural commodities of a country. The procedures for estimating this growth rate include both parametric and nonparametric methodologies which are quite complex to comprehend and compute. However, there is no ready- made statistical software which can be used to solve this purpose. Towards this direction, a user-friendly online application WebECGR has been developed in mitigating this challenge. This web-based solution is developed using Microsoft’s ASP.NET technology combined with statistical software R. It is available through internet with web-address http://www.iasri.res.in/cgr. This website provides some easy-to-follow steps to compute compound growth rates with minimum user intervention. A comprehensive step-by-step guideline is provided for the users to ease out the computational procedure. Provision is also kept to enquire doubt regarding this application at any point of time. | en_US |
dc.description.sponsorship | Not Available | en_US |
dc.language.iso | English | en_US |
dc.publisher | Not Available | en_US |
dc.relation.ispartofseries | Not Available; | - |
dc.subject | ASP.NET | en_US |
dc.subject | Nonparametric | en_US |
dc.subject | Parametric | en_US |
dc.subject | R software | en_US |
dc.subject | statconnDCOM | en_US |
dc.subject | WebECGR | en_US |
dc.title | Web ECGR: Web Solution for Estimation of Compound Growth Rates Using Parametric and Nonparametric Methodologies. | en_US |
dc.title.alternative | Not Available | en_US |
dc.type | Research Paper | en_US |
dc.publication.projectcode | Not Available | en_US |
dc.publication.journalname | RASHI | en_US |
dc.publication.volumeno | 2 | en_US |
dc.publication.pagenumber | 7-15 | en_US |
dc.publication.divisionUnit | Statistical Genetics Division | en_US |
dc.publication.sourceUrl | Not Available | en_US |
dc.publication.authorAffiliation | ICAR::Indian Agricultural Statistics Research Institute | en_US |
dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
dc.publication.naasrating | Not Available | - |
Appears in Collections: | AEdu-IASRI-Publication |
Files in This Item:
File | Description | Size | Format | |
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vol1__2_2.pdf | 660.45 kB | Adobe PDF | View/Open |
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