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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | B.N. Mandal | en_US |
| dc.contributor.author | Rajender Parsad | en_US |
| dc.contributor.author | V.K. Gupta | en_US |
| dc.date.accessioned | 2017-09-08T12:10:37Z | - |
| dc.date.available | 2017-09-08T12:10:37Z | - |
| dc.date.issued | 2008-06 | - |
| dc.identifier.citation | Mandal, B.N., Parsad, Rajender and Gupta, V.K. (2008). IPPS sampling plans excluding adjacent units. Communications-in-Statistics: Theory and Methods, 37(16), 2532-2550. | en_US |
| dc.identifier.issn | Not Available | - |
| dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/5271 | - |
| dc.description | Not Available | en_US |
| dc.description.abstract | Not Available | en_US |
| dc.description.sponsorship | The concept of inclusion probability proportional to size sampling plans excluding adjacent units separated by at most a distance of m (>=1) units [IPPSEA plans] is introduced. IPPSEA plans ensure that the first-order inclusion probabilities of units are proportional to size measures of the units, while the second-order inclusion probabilities are zero for pairs of adjacent units separated by a distance of m units or less. IPPSEA plans have been obtained by making use of binary, proper, and unequireplicated block designs and linear programing approach. The performance of IPPSEA plans using Horvitz-Thompson estimator of population total has been compared with existing sampling plans such as simple random sampling without replacement (SRSWOR), balanced sampling plans excluding adjacent units [BSA (m) plans], probability proportional to size with replacement, Hartley and Rao's plan (1962, Hartley , H. O. , Rao , J. N. K. (1962), Sampling with unequal probabilities and without replacement. Ann. Math. Statist. 33 : 350-374), and Sampford's IPPS plan (1967 Sampford , M. R. ( 1967 ), Biometrika 54 ( 3 ): 499-513) using a real life population. Unbiased estimation of Horvitz-Thompson estimator of population total is not possible in these types of plans because some of the second-order inclusion probabilities are zero. To resolve this problem, one approximate variance estimation technique has been suggested. | en_US |
| dc.language.iso | English | en_US |
| dc.publisher | Not Available | en_US |
| dc.relation.ispartofseries | Not Available; | - |
| dc.subject | Balanced sampling plans excluding adjacent units | en_US |
| dc.subject | Horvitz–Thompson estimator | en_US |
| dc.subject | IPPS plans | en_US |
| dc.subject | Linear programing | en_US |
| dc.title | IPPS sampling plans excluding adjacent units | 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 | Communications in Statistics - Theory and Methods | en_US |
| dc.publication.volumeno | 37(16) | en_US |
| dc.publication.pagenumber | 2532-2550 | en_US |
| dc.publication.divisionUnit | Not Available | en_US |
| dc.publication.sourceUrl | http://dx.doi.org/10.1080/03610920801942454 | en_US |
| dc.publication.naasrating | 6.61 | - |
| Appears in Collections: | AEdu-IASRI-Publication | |
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