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http://krishi.icar.gov.in/jspui/handle/123456789/5271
Title: | IPPS sampling plans excluding adjacent units |
Other Titles: | Not Available |
Authors: | B.N. Mandal Rajender Parsad V.K. Gupta |
Published/ Complete Date: | 2008-06 |
Project Code: | Not Available |
Keywords: | Balanced sampling plans excluding adjacent units Horvitz–Thompson estimator IPPS plans Linear programing |
Publisher: | Not Available |
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. |
Series/Report no.: | Not Available; |
Abstract/Description: | Not Available |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | Research Paper |
Sponsors: | 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. |
Language: | English |
Name of Journal: | Communications in Statistics - Theory and Methods |
NAAS Rating: | 6.61 |
Volume No.: | 37(16) |
Page Number: | 2532-2550 |
Name of the Division/Regional Station: | Not Available |
Source, DOI or any other URL: | http://dx.doi.org/10.1080/03610920801942454 |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/5271 |
Appears in Collections: | AEdu-IASRI-Publication |
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