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  • Search: subject:"balanced sampling"
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Year of publication
Subject
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balanced sampling 5 Sampling 3 Stichprobenerhebung 3 cluster sampling 2 planned domain sizes 2 quadratic optimization 2 Balanced Sampling 1 Betriebsgröße 1 Cluster analysis 1 Clusteranalyse 1 Firm size 1 Hedge fund 1 Hedgefonds 1 Investment Fund 1 Investmentfonds 1 KMU 1 Logistic regression 1 Monte Carlo experiment 1 Performance measurement 1 Performance-Messung 1 Poisson sampling 1 Portfolio selection 1 Portfolio-Management 1 Provisional estimator 1 Regional cluster 1 Regionales Cluster 1 SME 1 Sample coordination 1 Short-term statistics 1 Theorie 1 Theory 1 Timeliness 1 business surveys 1 case-control studies 1 choice-based sampling 1 design efficiency 1 fund tracking 1 hedge fund 1 hotspots 1 mean squared error 1
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Online availability
All
Free 6
Type of publication
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Book / Working Paper 4 Article 2
Type of publication (narrower categories)
All
Graue Literatur 2 Non-commercial literature 2 Working Paper 2 Arbeitspapier 1 Article in journal 1 Aufsatz in Zeitschrift 1
Language
All
English 5 Undetermined 1
Author
All
Burgard, Jan Pablo 2 Zins, Stefan 2 Courchane, Marsha J. 1 Giles, Judith A. 1 Klingwort, Jonas 1 Righi, Paolo 1 Smeets, Marc 1 Tafin Djoko, Donatien 1 Tuoto, Tiziana 1
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Institution
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Department of Economics, University of Victoria 1
Published in...
All
Discussion paper / Statistics Netherlands 1 Econometrics Working Papers 1 Journal of statistical and econometric methods 1 Research Papers in Economics 1 Research papers in economics 1 Rivista di statistica ufficiale 1
Source
All
ECONIS (ZBW) 3 RePEc 2 EconStor 1
Showing 1 - 6 of 6
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Sampling methods to better spread the response burden for small businesses
Smeets, Marc; Klingwort, Jonas - 2023
Persistent link: https://www.econbiz.de/10014365106
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Planning domain sizes in cluster sampling
Zins, Stefan; Burgard, Jan Pablo - 2020
Multi-stage cluster sampling is a common sampling design of social surveys because populations of interest are often structured by, or partitioned into, disjoint organizational and administrative units. The need to use cluster sampling can conflict with survey planners' goal to select a sample...
Persistent link: https://www.econbiz.de/10012651837
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Cover Image
Planning domain sizes in cluster sampling
Zins, Stefan; Burgard, Jan Pablo - 2020
Multi-stage cluster sampling is a common sampling design of social surveys because populations of interest are often structured by, or partitioned into, disjoint organizational and administrative units. The need to use cluster sampling can conflict with survey planners' goal to select a sample...
Persistent link: https://www.econbiz.de/10012294766
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Tracking hedge fund performance : a balanced sampling strategy
Tafin Djoko, Donatien - In: Journal of statistical and econometric methods 2 (2013) 1, pp. 81-114
constructed using a method of balanced sampling, in which components are selected randomly with unequal inclusion probabilities … the aforementioned category of hedge funds. The market tracking ability of balanced sampling remains statistically …
Persistent link: https://www.econbiz.de/10009769904
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The planning of Preliminary Sample: methodological aspects and an application to the Italian Monthly Retail Trade Survey
Righi, Paolo; Tuoto, Tiziana - In: Rivista di statistica ufficiale 9 (2007) 2-3, pp. 32-54
sub-sample data. In order to design the preliminary sub-sample, the balanced sampling theory is exploited. In the …
Persistent link: https://www.econbiz.de/10010821628
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Stratified Sample Design for Fair Lending Binary Logit Models
Giles, Judith A.; Courchane, Marsha J. - Department of Economics, University of Victoria - 2000
Logistic regressions are commonly used to assess for fair lending across groups of loan applicants. This paper considers estimation of the disparate treatment parameter when the sample is stratified jointly by loan outcome and race covariate. We use Monte Carlo analysis to investigate the...
Persistent link: https://www.econbiz.de/10005800966
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