Doprava zdarma při nákupu nad 1 499 Kč přes Zásilkovnu nebo PPL Box.

Zjistit stav objednávky

Staňte se součástí komunity milovníků knih z celého světa a získejte hromadu výhod. Založit účet zdarma

Doprava zdarma se Zásilkovnou nad 1 499 Kč

Kurýr DPD 69 Kč PPL shop 49 Kč Balíkovna 69 Kč PPL kurýr 74 Kč PPL box 39 Kč Balíkovna 49 Kč Výdejní místo DPD 49 Kč Zásilkovna 39 Kč

Kontakt

Jak nakupovat

Pomoc

Můj účet

▸ Prázdný :-(

Doprava zdarma při nákupu nad 1 499 Kč přes Zásilkovnu nebo PPL Box.

Matching Methodology: Some Statistical Properties

Name: Matching Methodology: Some Statistical Properties
Brand: Springer-Verlag New York Inc.
SKU: 06622822
Price: 1182 CZK
Availability: InStock
Author: Thirugnanasambandam Ramalingam
ISBN: 9780387969701

Thirugnanasambandam Ramalingam

Jazyk

Angličtina

Kniha Brožovaná

Libristo kód: 06622822

Nakladatelství Springer-Verlag New York Inc., květen 1989

Incomplete-data problems arise naturally in many instances of statistical practice. One class of inc... Celý popis

Libristo kód: 06622822

118 b

1 182 Kč

Skladem u dodavatele Odesíláme za 5-8 dnů

Až 30 dní na vrácení zboží

Zákazníci také koupili

Les gants blancs d'Alexandre Roger Hanin

Kniha

755 Kč

Changement climatique, migrations et conflits Eyassu Jemal Boku

Brožovaná

691 Kč

Relazioni Linguistiche Ludwig Fesenmeier

Pevná

1 480 Kč

Fiches d'Histoire Politique Et Sociale Contemporaine (1910-1911-1912) Sans Auteur

Brožovaná

788 Kč

Gibraltar y su Campo. Guia del forastero. ... Primera edición. Lutgardo Lo Pez Zaragoza

Brožovaná

642 Kč

Sintesis de heterociclos por reacciones de transferencia electronica Roberto Arturo Rossi

Brožovaná

794 Kč

Contribucion Al Modelaje de Maquinas y Motores Termicos Manuel Malaver de la Fuente

Brožovaná

592 Kč

Patrimonio, recurso turistico en el sureste de Espana Aurelio Cebrián Abellán

Brožovaná

1 987 Kč

Incomplete-data problems arise naturally in many instances of statistical practice. One class of incomplete-data problems, which is relatively not well understood by statisticians, is that of merging micro-data files. Many Federal agencies use the methodology of file-merging to create comprehensive files from multiple but incomplete sources of data. The main objective of this endeavor is to perform statistical analyses on the synthetic data set generated by file merging. In general, these analyses cannot be performed by analyzing the incomplete data sets separately. The validity and the efficacy of the file-merging methodology can be assessed by means of statistical models underlying the mechanisms which may generate the incomplete files. However, a completely satisfactory and unified theory of file-merging has not yet been developed This monograph is only a minor attempt to fill this void for unifying known models. Here, we review the optimal properties of some known matching strategies and derive new results thereof. However, a great number of unsolved problems still need the attention of very many researchers. One main problem still to be resolved is the development of appropriate inference methodology from merged files if one insists on using file merging methodology. If this monograph succeeds in attracting just a few more mathematical statisticians to work on this class of problems, then we will feel that our efforts have been successful.