Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 196.
Da: Majestic Books, Hounslow, Regno Unito
EUR 90,74
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Aggiungi al carrelloCondizione: New. pp. 196 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 137,74
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Aggiungi al carrelloCondizione: New. In.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Da: California Books, Miami, FL, U.S.A.
EUR 167,81
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Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Springer-Verlag New York Inc., US, 2003
ISBN 10: 0387004548 ISBN 13: 9780387004549
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 173,71
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Aggiungi al carrelloHardback. Condizione: New. 2003 ed. Sample data alone never suffice to draw conclusions about populations. Inference always requires assumptions about the population and sampling process. Statistical theory has revealed much about how strength of assumptions affects the precision of point estimates, but has had much less to say about how it affects the identification of population parameters. Indeed, it has been commonplace to think of identification as a binary event - a parameter is either identified or not - and to view point identification as a precondition for inference. Yet there is enormous scope for fruitful inference using data and assumptions that partially identify population parameters. This book explains why and shows how. The book presents in a rigorous and thorough manner the main elements of Charles Manski's research on partial identification of probability distributions. One focus is prediction with missing outcome or covariate data. Another is decomposition of finite mixtures, with application to the analysis of contaminated sampling and ecological inference. A third major focus is the analysis of treatment response.Whatever the particular subject under study, the presentation follows a common path. The author first specifies the sampling process generating the available data and asks what may be learned about population parameters using the empirical evidence alone. He then ask how the (typically) setvalued identification regions for these parameters shrink if various assumptions are imposed. The approach to inference that runs throughout the book is deliberately conservative and thoroughly nonparametric.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 159,65
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 150,20
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 161,00
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Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Da: UK BOOKS STORE, London, LONDO, Regno Unito
EUR 214,82
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Aggiungi al carrelloCondizione: New. Brand New ! Fast Delivery "International Edition " and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 4-6 Working days .and we do have flat rate for up to 2LB. Extra shipping charges will be requested This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
Lingua: Inglese
Editore: Springer-Verlag New York Inc., US, 2003
ISBN 10: 0387004548 ISBN 13: 9780387004549
Da: Rarewaves.com UK, London, Regno Unito
EUR 164,00
Quantità: Più di 20 disponibili
Aggiungi al carrelloHardback. Condizione: New. 2003 ed. Sample data alone never suffice to draw conclusions about populations. Inference always requires assumptions about the population and sampling process. Statistical theory has revealed much about how strength of assumptions affects the precision of point estimates, but has had much less to say about how it affects the identification of population parameters. Indeed, it has been commonplace to think of identification as a binary event - a parameter is either identified or not - and to view point identification as a precondition for inference. Yet there is enormous scope for fruitful inference using data and assumptions that partially identify population parameters. This book explains why and shows how. The book presents in a rigorous and thorough manner the main elements of Charles Manski's research on partial identification of probability distributions. One focus is prediction with missing outcome or covariate data. Another is decomposition of finite mixtures, with application to the analysis of contaminated sampling and ecological inference. A third major focus is the analysis of treatment response.Whatever the particular subject under study, the presentation follows a common path. The author first specifies the sampling process generating the available data and asks what may be learned about population parameters using the empirical evidence alone. He then ask how the (typically) setvalued identification regions for these parameters shrink if various assumptions are imposed. The approach to inference that runs throughout the book is deliberately conservative and thoroughly nonparametric.
Da: moluna, Greven, Germania
EUR 128,41
Quantità: Più di 20 disponibili
Aggiungi al carrelloGebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The book presents in a rigorous and thorough manner the main elements of Charles Manski s research on partial identification of probability distributions. The approach to inference that runs throughout the book is deliberately conservative and thoroughly.
Lingua: Inglese
Editore: Springer-Verlag New York Inc., 2003
ISBN 10: 0387004548 ISBN 13: 9780387004549
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 164,51
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Aggiungi al carrelloHardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.