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/123456789/79677
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | N.C. Paul | en_US |
dc.contributor.author | Anil Rai | en_US |
dc.contributor.author | Tauqueer Ahmad | en_US |
dc.contributor.author | Ankur Biswas | en_US |
dc.contributor.author | Prachi Misra Sahoo | en_US |
dc.date.accessioned | 2023-07-05T09:19:40Z | - |
dc.date.available | 2023-07-05T09:19:40Z | - |
dc.date.issued | 2022-09-30 | - |
dc.identifier.citation | Paul, N.C., Rai, A., Ahmad, T., Biswas, A.* and Sahoo, P.M. (2022). Bootstrap Variance Estimation of Spatially Integrated Estimator of Finite Population Total in Presence of Missing Observations. Journal of Community Mobilization and Sustainable Development, 17(3), 1039-1048. | en_US |
dc.identifier.issn | Not Available | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/79677 | - |
dc.description | Not Available | en_US |
dc.description.abstract | Large scale surveys, for example, household surveys, are the most important components in every national statistics system. These types of large-scale surveys are the primary and sometimes unique source of data for measuring many of the variables relating to Sustainable Development Goals (SDG) indicators. The problem of missing observations is very common in large-scale surveys. Missing data occur in surveys when an element of the target population is not observed/included in the sampling frame of the survey. This seriously affects not only the accuracy of the estimates but also the reliability of the estimates of population parameters. Imputation is a very popular method for dealing with the problem of missing data. In this article, a Proportional Spatial Bootstrap (PSB) variance estimation method for the Spatially Integrated (SI) estimator of finite population total in the presence of missing observations has been proposed utilizing various spatial imputation procedures to impute missing observations in the observed sample. The statistical properties of different spatial imputation techniques under the proposed PSB method of variance estimation were studied empirically through a spatial simulation study. The empirical results reveals that the proposed PSB method is quite efficient for variance estimation while dealing with missing observations. | en_US |
dc.description.sponsorship | Not Available | en_US |
dc.language.iso | English | en_US |
dc.publisher | Journal of Community Mobilization and Sustainable Development | en_US |
dc.relation.ispartofseries | Not Available; | - |
dc.subject | Geographically weighted regression, Proportional spatial bootstrap, Spatially integrated estimator, Spatial imputation, Spatial simulation | en_US |
dc.title | Bootstrap Variance Estimation of Spatially Integrated Estimator of Finite Population Total in Presence of Missing Observations | en_US |
dc.title.alternative | Not Available | en_US |
dc.type | Journal | en_US |
dc.publication.projectcode | Not Available | en_US |
dc.publication.journalname | Journal of Community Mobilization and Sustainable Development | en_US |
dc.publication.volumeno | 17(3) | en_US |
dc.publication.pagenumber | 1039-1048 | en_US |
dc.publication.divisionUnit | Division of Sample Surveys | 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.journaltype | Included NAAS journal list | en_US |
dc.publication.naasrating | 5.67 | en_US |
Appears in Collections: | AEdu-IASRI-Publication |
Items in KRISHI are protected by copyright, with all rights reserved, unless otherwise indicated.