Matches in SemOpenAlex for { <https://semopenalex.org/work/W2036737973> ?p ?o ?g. }
- W2036737973 endingPage "65" @default.
- W2036737973 startingPage "53" @default.
- W2036737973 abstract "Results in five areas of survey sampling dealing with the choice of the sampling design are reviewed. In Section 2, the results and discussions surrounding the purposive selection methods suggested by linear regression superpopulation models are reviewed. In Section 3, similar models to those in the previous section are considered; however, random sampling designs are considered and attention is focused on the optimal choice of πj. Then in Section 4, systematic sampling methods obtained under autocorrelated superpopulation models are reviewed. The next section examines minimax sampling designs. The work in the final section is based solely on the randomization. In Section 6 methods of sample selection which yield inclusion probabilities πj = n/N and πij = n(n - 1)/N(N - 1), but for which there are fewer than NCn possible samples, are mentioned briefly. Nous présentons une revue détaillée des résultats qui ont été obtenus dans cinq sphéres différentes de la théorie des sondages par échantillonnage, l'objet principal de notre étude étant le choix du plan d'échantillonnage. La deuxiéme section de cet article expose les resultats et les discussions concernant les méthodes de sélection suggérées par les modèles de surpopulation basés sur la régression linéaire. La troisième section étudie des modèles semblables à ceux de la section précédente; cependant on discute ici des plans d'échantillonnage aléatoire, en portant une attention spéciale au choix optimal de πj. La section 4 revise les méthodes d'échantillonnage systématique reliées aux modèles de surpopulation avec autocorrélation. La section suivante traite des plans d'échantillonnage minimax. Les opérations visant à donner un caractére aléatoire aux expériences font l'objet de la dernitre section de l'article. Nous y présentons une bréve nomenclature des méthodes de sélection d'échantil-Ions permettant d'obtenir des probabilités d'inclusion πj = n/N et πij = n(n - 1)/N(N - 1), mais avec la particularité que le nombre maximum d'échantillons possibles y est inférieur à NCn." @default.
- W2036737973 created "2016-06-24" @default.
- W2036737973 creator A5036453507 @default.
- W2036737973 date "1984-03-01" @default.
- W2036737973 modified "2023-09-24" @default.
- W2036737973 title "A review of optimal designs in survey sampling" @default.
- W2036737973 cites W1965232189 @default.
- W2036737973 cites W1966148944 @default.
- W2036737973 cites W1968690088 @default.
- W2036737973 cites W1970032094 @default.
- W2036737973 cites W1980598838 @default.
- W2036737973 cites W1985834205 @default.
- W2036737973 cites W1986050895 @default.
- W2036737973 cites W1989054110 @default.
- W2036737973 cites W1990822249 @default.
- W2036737973 cites W1993701031 @default.
- W2036737973 cites W2003778856 @default.
- W2036737973 cites W2012288408 @default.
- W2036737973 cites W201811993 @default.
- W2036737973 cites W2024335547 @default.
- W2036737973 cites W2024979492 @default.
- W2036737973 cites W2032376175 @default.
- W2036737973 cites W2034261997 @default.
- W2036737973 cites W2035702397 @default.
- W2036737973 cites W2040647521 @default.
- W2036737973 cites W2059120516 @default.
- W2036737973 cites W2062814941 @default.
- W2036737973 cites W2068898481 @default.
- W2036737973 cites W2077102525 @default.
- W2036737973 cites W2080616800 @default.
- W2036737973 cites W2093485912 @default.
- W2036737973 cites W2099226039 @default.
- W2036737973 cites W2100641901 @default.
- W2036737973 cites W2163193792 @default.
- W2036737973 cites W2169708322 @default.
- W2036737973 cites W2330814116 @default.
- W2036737973 cites W2479025415 @default.
- W2036737973 cites W4229494989 @default.
- W2036737973 cites W71177027 @default.
- W2036737973 doi "https://doi.org/10.2307/3314724" @default.
- W2036737973 hasPublicationYear "1984" @default.
- W2036737973 type Work @default.
- W2036737973 sameAs 2036737973 @default.
- W2036737973 citedByCount "15" @default.
- W2036737973 countsByYear W20367379732013 @default.
- W2036737973 countsByYear W20367379732014 @default.
- W2036737973 countsByYear W20367379732015 @default.
- W2036737973 countsByYear W20367379732019 @default.
- W2036737973 countsByYear W20367379732021 @default.
- W2036737973 crossrefType "journal-article" @default.
- W2036737973 hasAuthorship W2036737973A5036453507 @default.
- W2036737973 hasConcept C100363876 @default.
- W2036737973 hasConcept C105795698 @default.
- W2036737973 hasConcept C106131492 @default.
- W2036737973 hasConcept C111919701 @default.
- W2036737973 hasConcept C138885662 @default.
- W2036737973 hasConcept C140779682 @default.
- W2036737973 hasConcept C144024400 @default.
- W2036737973 hasConcept C149923435 @default.
- W2036737973 hasConcept C154945302 @default.
- W2036737973 hasConcept C15708023 @default.
- W2036737973 hasConcept C2780129039 @default.
- W2036737973 hasConcept C2908647359 @default.
- W2036737973 hasConcept C31972630 @default.
- W2036737973 hasConcept C33923547 @default.
- W2036737973 hasConcept C41008148 @default.
- W2036737973 hasConcept C81917197 @default.
- W2036737973 hasConceptScore W2036737973C100363876 @default.
- W2036737973 hasConceptScore W2036737973C105795698 @default.
- W2036737973 hasConceptScore W2036737973C106131492 @default.
- W2036737973 hasConceptScore W2036737973C111919701 @default.
- W2036737973 hasConceptScore W2036737973C138885662 @default.
- W2036737973 hasConceptScore W2036737973C140779682 @default.
- W2036737973 hasConceptScore W2036737973C144024400 @default.
- W2036737973 hasConceptScore W2036737973C149923435 @default.
- W2036737973 hasConceptScore W2036737973C154945302 @default.
- W2036737973 hasConceptScore W2036737973C15708023 @default.
- W2036737973 hasConceptScore W2036737973C2780129039 @default.
- W2036737973 hasConceptScore W2036737973C2908647359 @default.
- W2036737973 hasConceptScore W2036737973C31972630 @default.
- W2036737973 hasConceptScore W2036737973C33923547 @default.
- W2036737973 hasConceptScore W2036737973C41008148 @default.
- W2036737973 hasConceptScore W2036737973C81917197 @default.
- W2036737973 hasIssue "1" @default.
- W2036737973 hasLocation W20367379731 @default.
- W2036737973 hasOpenAccess W2036737973 @default.
- W2036737973 hasPrimaryLocation W20367379731 @default.
- W2036737973 hasRelatedWork W2119158312 @default.
- W2036737973 hasRelatedWork W2239306219 @default.
- W2036737973 hasRelatedWork W2399534389 @default.
- W2036737973 hasRelatedWork W2552050053 @default.
- W2036737973 hasRelatedWork W3125787904 @default.
- W2036737973 hasRelatedWork W3207962420 @default.
- W2036737973 hasRelatedWork W4205100218 @default.
- W2036737973 hasRelatedWork W4230550932 @default.
- W2036737973 hasRelatedWork W4381663984 @default.
- W2036737973 hasRelatedWork W563096618 @default.
- W2036737973 hasVolume "12" @default.