ข้ามไปที่เนือ้หา
Handling missing data in ranked set sampling แสดงตัวอย่างรายการนี้
ปิดแสดงตัวอย่างรายการนี้
ตรวจสอบ...

Handling missing data in ranked set sampling

ผู้แต่ง: Carlos Narciso Bouza Herrera
สำนักพิมพ์: Heidelberg : Springer, 2013.
ชุด: SpringerBriefs in statistics
ครั้งที่พิมพ์/รูปแบบ:   หนังสืออีเล็กทรอนิกส์ : เอกสาร : ภาษาอังกฤษดูครั้งที่พิมพ์และรูปแบบ
ฐานข้อมูล:WorldCat
สรุป:
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.  อ่านมากขึ้น…
คะแนน:

(ยังไม่ให้คะแนน) 0 กับความคิดเห็น - เป็นคนแรก

หัวเรื่อง
เพิ่มเติมเช่นนี้

 

ค้นหาสำเนาออนไลน์

เชื่อมโยงไปยังรายการนี้

ค้นหาสำเนาในห้องสมุด

&AllPage.SpinnerRetrieving; ค้นหาห้องสมุดที่มีรายการนี้

รายละเอียด

ประเภท/แบบฟอร์ม Electronic books
รูปแบบทางกายภาพเพิ่มเติม Print version:
Bouza-Herrera, Carlos N.
Handling Missing Data in Ranked Set Sampling.
Dordrecht : Springer, ©2013
ขนิดวัสดุ: เอกสาร, ทรัพยากรอินแทอร์เน็ต
ประเภทของเอกสาร: แหล่งข้อมูลอินเทอร์เน็ต, ไฟล์คอมพิวเตอร์
ผู้แต่งทั้งหมด : ผู้แต่งร่วม Carlos Narciso Bouza Herrera
ISBN: 9783642398995 3642398995 3642398987 9783642398988
OCLC Number: 861744903
คำอธิบาย: 1 online resource (x, 116 pages).
สารบัญ: Missing observations and data quality improvement --
Sampling using ranked sets: basic concepts --
The non-response problem: subsampling among the non-respondents --
Imputation of the missing data --
Some numerical studies of the behavior of RSS.
ชื่อชุด: SpringerBriefs in statistics
ความรับผิดชอบ: Carlos N. Bouza-Herrera.
ข้อมูลเพิ่มเติม

บทคัดย่อ:

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.

รีวิว

ความคิดเห็นของบรรณาธิการ

สรุปความของสำนักพิมพ์

From the reviews: "This monograph treats missing data due to non-inclusion of units in the sampling frame (non-coverage) or to individual non-responses in theoretical 'ranked set sampling' framework. อ่านมากขึ้น…

 
ความคิดเห็นผู้ที่ใช้งาน
กำลังค้นคืน รีวิว GoodReads…
ค้นคืน DOGObooks บทวิจารณ์

แท็ก

เป็นคนแรก.
ยืนยันคำขอนี้

คุณอาจะร้องขอรายการนี้แล้. โปรดเลือก ตกลง ถ้าคุณต้องการดำเนินการคำขอนี้ต่อไป.

เชิ่อมโยงข้อมูล


Primary Entity

<http://www.worldcat.org/oclc/861744903> # Handling missing data in ranked set sampling
    a schema:CreativeWork, schema:Book, schema:MediaObject ;
    library:oclcnum "861744903" ;
    library:placeOfPublication <http://id.loc.gov/vocabulary/countries/gw> ;
    schema:about <http://experiment.worldcat.org/entity/work/data/1784230739#Topic/statistical_theory_and_methods> ; # Statistical Theory and Methods
    schema:about <http://experiment.worldcat.org/entity/work/data/1784230739#Topic/statistics> ; # Statistics
    schema:about <http://id.worldcat.org/fast/1104676> ; # Sampling (Statistics)
    schema:about <http://experiment.worldcat.org/entity/work/data/1784230739#Topic/mathematics_probability_&_statistics_general> ; # MATHEMATICS / Probability & Statistics / General
    schema:about <http://dewey.info/class/519.52/e23/> ;
    schema:about <http://id.worldcat.org/fast/1012127> ; # Mathematical statistics
    schema:about <http://experiment.worldcat.org/entity/work/data/1784230739#Topic/mathematics_applied> ; # MATHEMATICS / Applied
    schema:about <http://experiment.worldcat.org/entity/work/data/1784230739#Topic/stichprobennahme> ; # Stichprobennahme
    schema:about <http://experiment.worldcat.org/entity/work/data/1784230739#Topic/rangstatistik> ; # Rangstatistik
    schema:author <http://viaf.org/viaf/305198762> ; # Carlos Narciso Bouza Herrera
    schema:bookFormat schema:EBook ;
    schema:datePublished "2013" ;
    schema:description "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."@en ;
    schema:exampleOfWork <http://worldcat.org/entity/work/id/1784230739> ;
    schema:genre "Electronic books"@en ;
    schema:inLanguage "en" ;
    schema:isPartOf <http://worldcat.org/issn/2191-544X> ; # SpringerBriefs in statistics,
    schema:isSimilarTo <http://worldcat.org/entity/work/data/1784230739#CreativeWork/handling_missing_data_in_ranked_set_sampling> ;
    schema:name "Handling missing data in ranked set sampling"@en ;
    schema:productID "861744903" ;
    schema:url <http://dx.doi.org/10.1007/978-3-642-39899-5> ;
    schema:url <http://public.eblib.com/choice/publicfullrecord.aspx?p=1466336> ;
    schema:url <http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=647456> ;
    schema:workExample <http://dx.doi.org/10.1007/978-3-642-39899-5> ;
    schema:workExample <http://worldcat.org/isbn/9783642398988> ;
    schema:workExample <http://worldcat.org/isbn/9783642398995> ;
    wdrs:describedby <http://www.worldcat.org/title/-/oclc/861744903> ;
    .


Related Entities

<http://experiment.worldcat.org/entity/work/data/1784230739#Topic/mathematics_applied> # MATHEMATICS / Applied
    a schema:Intangible ;
    schema:name "MATHEMATICS / Applied"@en ;
    .

<http://experiment.worldcat.org/entity/work/data/1784230739#Topic/mathematics_probability_&_statistics_general> # MATHEMATICS / Probability & Statistics / General
    a schema:Intangible ;
    schema:name "MATHEMATICS / Probability & Statistics / General"@en ;
    .

<http://experiment.worldcat.org/entity/work/data/1784230739#Topic/statistical_theory_and_methods> # Statistical Theory and Methods
    a schema:Intangible ;
    schema:name "Statistical Theory and Methods"@en ;
    .

<http://id.worldcat.org/fast/1012127> # Mathematical statistics
    a schema:Intangible ;
    schema:name "Mathematical statistics"@en ;
    .

<http://id.worldcat.org/fast/1104676> # Sampling (Statistics)
    a schema:Intangible ;
    schema:name "Sampling (Statistics)"@en ;
    .

<http://viaf.org/viaf/305198762> # Carlos Narciso Bouza Herrera
    a schema:Person ;
    schema:birthDate "1942" ;
    schema:familyName "Bouza Herrera" ;
    schema:givenName "Carlos Narciso" ;
    schema:name "Carlos Narciso Bouza Herrera" ;
    .

<http://worldcat.org/entity/work/data/1784230739#CreativeWork/handling_missing_data_in_ranked_set_sampling>
    a schema:CreativeWork ;
    rdfs:label "Handling Missing Data in Ranked Set Sampling." ;
    schema:description "Print version:" ;
    schema:isSimilarTo <http://www.worldcat.org/oclc/861744903> ; # Handling missing data in ranked set sampling
    .

<http://worldcat.org/isbn/9783642398988>
    a schema:ProductModel ;
    schema:isbn "3642398987" ;
    schema:isbn "9783642398988" ;
    .

<http://worldcat.org/isbn/9783642398995>
    a schema:ProductModel ;
    schema:description "electronic bk." ;
    schema:isbn "3642398995" ;
    schema:isbn "9783642398995" ;
    .

<http://worldcat.org/issn/2191-544X> # SpringerBriefs in statistics,
    a bgn:PublicationSeries ;
    schema:hasPart <http://www.worldcat.org/oclc/861744903> ; # Handling missing data in ranked set sampling
    schema:issn "2191-544X" ;
    schema:name "SpringerBriefs in statistics," ;
    schema:name "SpringerBriefs in Statistics," ;
    .


Content-negotiable representations

Close Window

กรุณาลงชื่อเข้าสู่ระบบ WorldCat 

ยังไม่มีบัญชีผู้ใช้? คุณสามารถสร้างได้อย่างง่ายดาย สร้างบัญชีผู้ใช้ฟรี.