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http://krishi.icar.gov.in/jspui/handle/123456789/66449| Title: | Spatial Estimation and Rescaled Spatial Bootstrap Approach for Finite Population |
| Other Titles: | Not Available |
| Authors: | Ankur Biswas Anil Rai Tauqueer Ahmad Prachi Misra Sahoo |
| ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
| Author's Affiliated institute: | ICAR::Indian Agricultural Statistics Research Institute |
| Published/ Complete Date: | 2017-01-01 |
| Project Code: | Not Available |
| Keywords: | Inverse distance weighting; Prediction approach; Rescaled spatial bootstrap; Spatial data; Spatial estimator. |
| Publisher: | Not Available |
| Citation: | Not Available |
| Series/Report no.: | Not Available; |
| Abstract/Description: | In this study, an attempt has been made to improve the sampling strategy incorporating spatial dependency at estimation stage considering usual aerial sampling scheme, such as simple random sampling, when the underlying population is finite and spatial in nature. Using the distances between spatial units, an improved method of estimation, viz. spatial estimation procedure, has been proposed for the estimation of finite population mean. Further, rescaled spatial bootstrap (RSB) methods have been proposed for approximately unbiased estimation of variance of the proposed spatial estimator (SE). The properties of the proposed SE and its corresponding RSB methods were studied empirically through simulation. |
| Description: | Not Available |
| ISSN: | Not Available |
| Type(s) of content: | Research Paper |
| Sponsors: | Not Available |
| Language: | English |
| Name of Journal: | Communications in Statistics - Theory and Methods |
| NAAS Rating: | 6.61 |
| Volume No.: | 46(1) |
| Page Number: | 373-388 |
| Name of the Division/Regional Station: | Not Available |
| Source, DOI or any other URL: | https://doi.org/10.1080/03610926.2014.995820 |
| URI: | http://krishi.icar.gov.in/jspui/handle/123456789/66449 |
| Appears in Collections: | AEdu-IASRI-Publication |
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