An improved synthetic imputation method for domain mean using known domain mean and variance of an auxiliary variable.
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| Title: | An improved synthetic imputation method for domain mean using known domain mean and variance of an auxiliary variable. |
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| Authors: | Grover, Lovleen Kumar1 (AUTHOR) lovleen_2@yahoo.co.in, Sharma, Anchal1,2 (AUTHOR) |
| Source: | Communications in Statistics: Theory & Methods. 2026, Vol. 55 Issue 16, p5474-5493. 20p. |
| Database: | Business Source Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: bsu DbLabel: Business Source Ultimate An: 194842915 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: An improved synthetic imputation method for domain mean using known domain mean and variance of an auxiliary variable. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Grover%2C+Lovleen+Kumar%22">Grover, Lovleen Kumar</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> lovleen_2@yahoo.co.in</i><br /><searchLink fieldCode="AR" term="%22Sharma%2C+Anchal%22">Sharma, Anchal</searchLink><relatesTo>1,2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Communications+in+Statistics%3A+Theory+%26+Methods%22">Communications in Statistics: Theory & Methods</searchLink>. 2026, Vol. 55 Issue 16, p5474-5493. 20p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=194842915 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/03610926.2026.2637615 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 5474 Titles: – TitleFull: An improved synthetic imputation method for domain mean using known domain mean and variance of an auxiliary variable. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Grover, Lovleen Kumar – PersonEntity: Name: NameFull: Sharma, Anchal IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 08 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 03610926 Numbering: – Type: volume Value: 55 – Type: issue Value: 16 Titles: – TitleFull: Communications in Statistics: Theory & Methods Type: main |
| ResultId | 1 |