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Handling Missing Data in Ranked Set Sampling, Carlos N. Bouza-Herrera


Âàðèàíòû ïðèîáðåòåíèÿ
Öåíà: 6986.00ð.
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Ñêëàä Àìåðèêà: Åñòü  
Ïðè îôîðìëåíèè çàêàçà äî: 2025-07-28
Îðèåíòèðîâî÷íàÿ äàòà ïîñòàâêè: Àâãóñò-íà÷àëî Ñåíòÿáðÿ
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Àâòîð: Carlos N. Bouza-Herrera
Íàçâàíèå:  Handling Missing Data in Ranked Set Sampling
ISBN: 9783642398988
Èçäàòåëüñòâî: Springer
Êëàññèôèêàöèÿ:

ISBN-10: 3642398987
Îáëîæêà/Ôîðìàò: Paperback
Ñòðàíèöû: 116
Âåñ: 0.19 êã.
Äàòà èçäàíèÿ: 15.10.2013
Ñåðèÿ: SpringerBriefs in Statistics
ßçûê: English
Ðàçìåð: 234 x 156 x 7
Îñíîâíàÿ òåìà: Statistics
Ññûëêà íà Èçäàòåëüñòâî: Link
Ðåéòèíã:
Ïîñòàâëÿåòñÿ èç: Ãåðìàíèè
Îïèñàíèå: � The existence of missing observations is a very important aspect to be considered in the application of survey sampling, for example. Traditionally, simple random sampling is used to select samples. RSS models are developed as counterparts of well-known simple random sampling (SRS) models.


Metric Methods for Analyzing Partially Ranked Data

Àâòîð: Douglas E. Critchlow
Íàçâàíèå: Metric Methods for Analyzing Partially Ranked Data
ISBN: 0387962883 ISBN-13(EAN): 9780387962887
Èçäàòåëüñòâî: Springer
Ðåéòèíã:
Öåíà: 19564.00 ð.
Íàëè÷èå íà ñêëàäå: Åñòü ó ïîñòàâùèêà Ïîñòàâêà ïîä çàêàç.

Îïèñàíèå: A full ranking of n items is simply an ordering of all these items, of the form: first choice, second choice, *. The problem thus becomes one of ex- tending metrics on the permutation group to metrics on a coset space of the permutation group.


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