Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108794157 ISBN 13: 9781108794152
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Lingua: Inglese
Editore: Cambridge University Press 10/22/2020, 2020
ISBN 10: 1108794157 ISBN 13: 9781108794152
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Paperback or Softback. Condizione: New. Target Estimation and Adjustment Weighting for Survey Nonresponse and Sampling Bias. Book.
Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108794157 ISBN 13: 9781108794152
Da: California Books, Miami, FL, U.S.A.
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Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108794157 ISBN 13: 9781108794152
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Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108794157 ISBN 13: 9781108794152
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Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108794157 ISBN 13: 9781108794152
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Lingua: Inglese
Editore: Cambridge University Press 2020-09-30, 2020
ISBN 10: 1108794157 ISBN 13: 9781108794152
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Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108794157 ISBN 13: 9781108794152
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Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108794157 ISBN 13: 9781108794152
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Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108794157 ISBN 13: 9781108794152
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Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108794157 ISBN 13: 9781108794152
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Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2020
ISBN 10: 1108794157 ISBN 13: 9781108794152
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Paperback. Condizione: new. Paperback. We elaborate a general workflow of weighting-based survey inference, decomposing it into two main tasks. The first is the estimation of population targets from one or more sources of auxiliary information. The second is the construction of weights that calibrate the survey sample to the population targets. We emphasize that these tasks are predicated on models of the measurement, sampling, and nonresponse process whose assumptions cannot be fully tested. After describing this workflow in abstract terms, we then describe in detail how it can be applied to the analysis of historical and contemporary opinion polls. We also discuss extensions of the basic workflow, particularly inference for causal quantities and multilevel regression and poststratification. Nonresponse and other sources of bias are endemic features of public opinion surveys. We elaborate a general workflow of weighting-based survey inference, and describe in detail how this can be applied to the analysis of historical and contemporary opinion polls. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108794157 ISBN 13: 9781108794152
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Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108794157 ISBN 13: 9781108794152
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Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108794157 ISBN 13: 9781108794152
Da: Majestic Books, Hounslow, Regno Unito
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Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108794157 ISBN 13: 9781108794152
Da: Biblios, Frankfurt am main, HESSE, Germania
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Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2020
ISBN 10: 1108794157 ISBN 13: 9781108794152
Da: CitiRetail, Stevenage, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. We elaborate a general workflow of weighting-based survey inference, decomposing it into two main tasks. The first is the estimation of population targets from one or more sources of auxiliary information. The second is the construction of weights that calibrate the survey sample to the population targets. We emphasize that these tasks are predicated on models of the measurement, sampling, and nonresponse process whose assumptions cannot be fully tested. After describing this workflow in abstract terms, we then describe in detail how it can be applied to the analysis of historical and contemporary opinion polls. We also discuss extensions of the basic workflow, particularly inference for causal quantities and multilevel regression and poststratification. Nonresponse and other sources of bias are endemic features of public opinion surveys. We elaborate a general workflow of weighting-based survey inference, and describe in detail how this can be applied to the analysis of historical and contemporary opinion polls. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Da: moluna, Greven, Germania
EUR 29,40
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Nonresponse and other sources of bias are endemic features of public opinion surveys. We elaborate a general workflow of weighting-based survey inference, and describe in detail how this can be applied to the analysis of historical and contemporary opinion .