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عنوان
Handling missing data in ranked set sampling /

پدید آورنده
Carlos N. Bouza-Herrera

موضوع
Mathematical statistics,Sampling (Statistics)

رده
QA276
.
6

کتابخانه
Center and Library of Islamic Studies in European Languages

محل استقرار
استان: Qom ـ شهر: Qom

Center and Library of Islamic Studies in European Languages

تماس با کتابخانه : 32910706-025

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
3642398995 (electronic bk.)
(Number (ISBN
9783642398995 (electronic bk.)
Erroneous ISBN
9783642398988

NATIONAL BIBLIOGRAPHY NUMBER

Number
dltt

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Handling missing data in ranked set sampling /
General Material Designation
[Book]
First Statement of Responsibility
Carlos N. Bouza-Herrera

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
1 online resource (x, 116 pages)

SERIES

Series Title
SpringerBriefs in statistics,
ISSN of Series
2191-544X

INTERNAL BIBLIOGRAPHIES/INDEXES NOTE

Text of Note
Includes bibliographical references and index

SUMMARY OR ABSTRACT

Text of Note
The existence of missing observations is a very important aspect to be considered in the application of survey sampling, for example. In human populations they may be caused by a refusal of some interviewees to give the true value for the variable of interest. Traditionally, simple random sampling is used to select samples. Most statistical models are supported by the use of samples selected by means of this design. In recent decades, an alternative design has started being used, which, in many cases, shows an improvement in terms of accuracy compared with traditional sampling. It is called Ranked Set Sampling (RSS). A random selection is made with the replacement of samples, which are ordered (ranked). The literature on the subject is increasing due to the potentialities of RSS for deriving more effective alternatives to well-established statistical models. In this work, the use of RSS sub-sampling for obtaining information among the non respondents and different imputation procedures are considered. RSS models are developed as counterparts of well-known simple random sampling (SRS) models. SRS and RSS models for estimating the population using missing data are presented and compared both theoretically and using numerical experiments

PIECE

Title
OhioLINK electronic book center (Online)
Title
SpringerLink

TOPICAL NAME USED AS SUBJECT

Mathematical statistics
Sampling (Statistics)

(SUBJECT CATEGORY (Provisional

MAT-- 003000
MAT-- 029000
MAT029000
PBT

DEWEY DECIMAL CLASSIFICATION

Number
519
.
5/2
Edition
23

LIBRARY OF CONGRESS CLASSIFICATION

Class number
QA276
.
6
Class number
QA276
.
6

PERSONAL NAME - PRIMARY RESPONSIBILITY

Bouza Herrera, Carlos Narciso,1942-

CORPORATE BODY NAME - ALTERNATIVE RESPONSIBILITY

Ohio Library and Information Network

ORIGINATING SOURCE

Date of Transaction
20140103091107.0
Cataloguing Rules (Descriptive Conventions))
pn

ELECTRONIC LOCATION AND ACCESS

Electronic name
 مطالعه متن کتاب 

[Book]

Y

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