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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/42574
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Wasi Alam | en_US |
dc.contributor.author | Ajit Chaturvedi | en_US |
dc.contributor.author | K N Singh | en_US |
dc.contributor.author | Anil Kumar | en_US |
dc.contributor.author | Amrit Kumar Paul | en_US |
dc.contributor.author | Ranjit K Paul | en_US |
dc.contributor.author | Kanchan Sinha | en_US |
dc.date.accessioned | 2020-11-24T05:39:28Z | - |
dc.date.available | 2020-11-24T05:39:28Z | - |
dc.date.issued | 2014-01-01 | - |
dc.identifier.citation | Alam, W., Chaturvedi, A., Singh, K.N., Kumar, A. Paul, A.K., Paul, R.K. and Sinha, K. (2014). Maximum likelihood and uniformly minimum variance unbiased estimation of p(y<x) for Gompertz distribution. International Journal of Agricultural and Statistical Sciences, 10(2), 267-274. | en_US |
dc.identifier.issn | Not Available | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/42574 | - |
dc.description | Not Available | en_US |
dc.description.abstract | Abstract : Maximum likelihood estimator of R = P(Y < X) is derived when all the parameters of Gompertz distribution for X and Y are unknown and unequal. Maximum likelihood estimator for estimating ‘R’ is also derived, when one parameter is known (and equal), but other parameter is unknown for X and Y. Uniformly minimum variance unbiased estimator (UMVUE) of P(Y < X) is also derived for the case when one parameter is known (and unequal), but other parameter is unknown for both X and Y. A new approach has been applied for deriving the UMVUE of R using estimator of power of unknown parameter. Performance of the estimators have been examined using bootstrap technique. | 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 | Key words : Maximum likelihood estimator, Uniformly minimum variance unbiased estimator, P(Y < X), Gompertz distribution. | en_US |
dc.title | Maximum likelihood and uniformly minimum variance unbiased estimation of p(y<x) for Gompertz distribution. | en_US |
dc.title.alternative | Not Available | en_US |
dc.type | Article | en_US |
dc.publication.projectcode | Not Available | en_US |
dc.publication.journalname | International Journal of Agricultural and Statistical Sciences | en_US |
dc.publication.volumeno | 10(2) | en_US |
dc.publication.pagenumber | 267-274 | 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 | 4.92 | - |
Appears in Collections: | AEdu-IASRI-Publication |
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