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/123456789/42741
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Himadri Ghosh | en_US |
dc.contributor.author | Prajneshu | en_US |
dc.date.accessioned | 2020-11-26T10:27:48Z | - |
dc.date.available | 2020-11-26T10:27:48Z | - |
dc.date.issued | 2017-03-27 | - |
dc.identifier.citation | Not Available | en_US |
dc.identifier.issn | Not Available | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/42741 | - |
dc.description | Not Available | en_US |
dc.description.abstract | Richards four-parameter nonlinear growth model, which is a generalization of the well-known logistic and Gompertz models, is a very versatile model for describing many growth processes. However, one limitation of the corresponding Richards nonlinear statistical model is that it is applicable only when the data are available at equidistant epochs, which is not always possible. The other limitation is that it is not able to describe the underlying fluctuations of the system satisfactorily particularly for longitudinal data, as merely an error term is added to the deterministic model to obtain it. Accordingly, in this article, the general approach of ‘Stochastic differential equations’ is considered. Specifically, the methodology for Richards growth model in random environment is developed. The optimal predictor of untransformed data along with prediction error variance is also derived. Relevant computer programs for its application are written and the same are included as an Appendix. Finally, as an illustration, pig growth data are considered and superiority of our proposed model is shown over the Richards nonlinear statistical model for given data. | 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 | Richards nonlinear growth model | en_US |
dc.subject | Stochastic differential equation | en_US |
dc.subject | Interval estimation | en_US |
dc.subject | Out-of-sample forecasting | en_US |
dc.title | Richards Stochastic Differential Equation Growth model and its Application | 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 | Journal of Indian Society of Agricultural Statistics | en_US |
dc.publication.volumeno | 71(2) | en_US |
dc.publication.pagenumber | 127-137 | en_US |
dc.publication.divisionUnit | Statistical Genetics | 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 | 5.51 | - |
Appears in Collections: | AEdu-IASRI-Publication |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
ISAS_RichardsSDE.pdf | 625.97 kB | Adobe PDF | View/Open |
Items in KRISHI are protected by copyright, with all rights reserved, unless otherwise indicated.