Skip navigation
DSpace logo
  • Home
  • Browse
    • SMD
      & Institutes
    • Browse Items by:
    • Published/ Complete Date
    • Author/ PI/CoPI
    • Title
    • Keyword (Publication)
  • Sign on to:
    • My KRISHI
    • Receive email
      updates
    • Edit Profile
ICAR logo

KRISHI

ICAR RESEARCH DATA REPOSITORY FOR KNOWLEDGE MANAGEMENT
(An Institutional Publication and Data Inventory Repository)


  1. KRISHI Publication and Data Inventory Repository
  2. Agricultural Education A1
  3. ICAR-Indian Agricultural Statistics Research Institute B7
  4. AEdu-IASRI-Publication
"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
Please use this identifier to cite or link to this item: 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

Files in This Item:
There are no files associated with this item.
Show full item record


Items in KRISHI are protected by copyright, with all rights reserved, unless otherwise indicated.

  File Downloads  

Jun 2022: 81240 May 2022: 97531 Apr 2022: 94186 Mar 2022: 96096 Feb 2022: 93736 Jan 2022: 86503

Total Download
2790752

(Also includes document to fetched through computer programme by other sites)
( From May 2017 )

ICAR Data Use Licence
Disclaimer
©  2016 All Rights Reserved  • 
Indian Council of Agricultural Research
Krishi Bhavan, Dr. Rajendra Prasad Road, New Delhi-110 001. INDIA

INDEXED BY

KRISHI: Inter Portal Harvester

DOAR
Theme by Logo CINECA Reports

DSpace Software Copyright © 2002-2013  Duraspace - Feedback