Paul garthwaite (38 risultati)

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hardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

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hardcover. Condizione: New.

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Hardcover. Condizione: As New. 2nd Edition. This is a fine, as new, hardcover second edition copy, no DJ, blue/red spine, 328 pages with index.

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Hardcover. Condizione: Très bon. Ancien livre de bibliothèque avec équipements. Edition 2002. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 2002. Ammareal gives back up to 15% of this item's net price to c…harity organizations.

Uncertain Judgements : Eliciting Experts' Probabilities
O'Hagan, Anthony; Buck, Caitlin E.; Daneshkhah, Alireza; Eiser, J. Richard; Garthwaite, Paul H.
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Condizione: As New. Unread book in perfect condition.

Uncertain Judgements : Eliciting Experts' Probabilities
O'Hagan, Anthony; Buck, Caitlin E.; Daneshkhah, Alireza; Eiser, J. Richard; Garthwaite, Paul H.
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Condizione: New.

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Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA
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Hardback. Condizione: New. Elicitation is the process of extracting expert knowledge about some unknown quantity or quantities, and formulating that information as a probability distribution. Elicitation is important in situations, such as modelling the safety of nuclear installations or assessing the risk of terrorist attacks,…where expert knowledge is essentially the only source of good information. It also plays a major role in other contexts by augmenting scarce observational data, through the use of Bayesian statistical methods. However, elicitation is not a simple task, and practitioners need to be aware of a wide range of research findings in order to elicit expert judgements accurately and reliably. Uncertain Judgements introduces the area, before guiding the reader through the study of appropriate elicitation methods, illustrated by a variety of multi-disciplinary examples. This is achieved by: Presenting a methodological framework for the elicitation of expert knowledge incorporating findings from both statistical and psychological research.Detailing techniques for the elicitation of a wide range of standard distributions, appropriate to the most common types of quantities.Providing a comprehensive review of the available literature and pointing to the best practice methods and future research needs.Using examples from many disciplines, including statistics, psychology, engineering and health sciences.Including an extensive glossary of statistical and psychological terms. An ideal source and guide for statisticians and psychologists with interests in expert judgement or practical applications of Bayesian analysis, Uncertain Judgements will also benefit decision-makers, risk analysts, engineers and researchers in the medical and social sciences.

Uncertain Judgements: Eliciting Experts' Probabilities (Statistics in Practice)
O'Hagan, Anthony; Buck, Caitlin E.; Daneshkhah, Alireza; Eiser, J. Richard; Garthwaite, Paul H.; Jenkinson, David J.; Oakley, Jeremy E.; Rakow, Tim
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Condizione: New. In.
Altre immagini- Rilegato
Da: Galisteo Consulting Group Books, Albuquerque, NM, U.S.A.Galisteo Consulting Group Books
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EUR 89,99
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Hardcover. Condizione: Fine. PRISTINE CONDITION: A 'Like New' copy of 'Uncertain Judgements: Eliciting Experts' Probabilities (Statistics in Practice)'. Part of the Wiley "Statistics in Practice" series. A specialized guide to quantifying expert opinion for risk and policy analysis. Essential for decision scientists and statisti…cians. No highlighting, markings, or spine creases. Ideal for students, researchers, and professional libraries. Used - like new. Ships from the USA. Elicitation is the process of extracting expert knowledge about some unknown quantity or quantities, and formulating that information as a probability distribution. Elicitation is important in situations, such as modelling the safety of nuclear installations or assessing the risk of terrorist attacks, where expert knowledge is essentially the only source of good information. It also plays a major role in other contexts by augmenting scarce observational data, through the use of Bayesian statistical methods. However, elicitation is not a simple task, and practitioners need to be aware of a wide range of research findings in order to elicit expert judgements accurately and reliably. Uncertain Judgements introduces the area, before guiding the reader through the study of appropriate elicitation methods, illustrated by a variety of multi-disciplinary examples.This is achieved by:Presenting a methodological framework for the elicitation of expert knowledge incorporating findings from both statistical and psychological research.Detailing techniques for the elicitation of a wide range of standard distributions, appropriate to the most common types of quantities.Providing a comprehensive review of the available literature and pointing to the best practice methods and future research needs.Using examples from many disciplines, including statistics, psychology, engineering and health sciences.Including an extensive glossary of statistical and psychological terms.An ideal source and guide for statisticians and psychologists with interests in expert judgement or practical applications of Bayesian analysis, Uncertain Judgements will also benefit decision-makers, risk analysts, engineers and researchers in the medical and social sciences.

Uncertain Judgements : Eliciting Experts' Probabilities
O'Hagan, Anthony; Buck, Caitlin E.; Daneshkhah, Alireza; Eiser, J. Richard; Garthwaite, Paul H.
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Condizione: New.

Uncertain Judgements : Eliciting Experts' Probabilities
O'Hagan, Anthony; Buck, Caitlin E.; Daneshkhah, Alireza; Eiser, J. Richard; Garthwaite, Paul H.
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Condizione: As New. Unread book in perfect condition.

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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Condizione: New. pp. 338 Illus.

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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condizione: New. pp. 338.

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Da: Almacen de los Libros Olvidados, Barakaldo, BI, SpagnaAlmacen de los Libros Olvidados
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tapa blanda. Condizione: 2ª Mano - Bueno. 2ª Mano. Prentice Hall. 1995. Libro.

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Da: BennettBooksLtd, Los Angeles, CA, U.S.A.BennettBooksLtd
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Hardcover. Condizione: New. In shrink wrap. Looks like an interesting title.

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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Hardcover. Condizione: Brand New. 321 pages. 9.25x6.25x0.75 inches. In Stock.

Uncertain Judgements: Eliciting Experts' Probabilities
O'Hagan, Anthony; Buck, Caitlin E.; Daneshkhah, Alireza; Eiser, J. Richard; Garthwaite, Paul H.; Jenkinson, David J.; Oakley, Jeremy E.; Rakow, Tim
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Da: BennettBooksLtd, Los Angeles, CA, U.S.A.BennettBooksLtd
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EUR 138,42
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hardcover. Condizione: New. In shrink wrap. Looks like an interesting title.

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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Condizione: New.

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Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
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EUR 76,12
EUR 76,43 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Hardback. Condizione: New. Elicitation is the process of extracting expert knowledge about some unknown quantity or quantities, and formulating that information as a probability distribution. Elicitation is important in situations, such as modelling the safety of nuclear installations or assessing the risk of terrorist attacks,…where expert knowledge is essentially the only source of good information. It also plays a major role in other contexts by augmenting scarce observational data, through the use of Bayesian statistical methods. However, elicitation is not a simple task, and practitioners need to be aware of a wide range of research findings in order to elicit expert judgements accurately and reliably. Uncertain Judgements introduces the area, before guiding the reader through the study of appropriate elicitation methods, illustrated by a variety of multi-disciplinary examples. This is achieved by: Presenting a methodological framework for the elicitation of expert knowledge incorporating findings from both statistical and psychological research.Detailing techniques for the elicitation of a wide range of standard distributions, appropriate to the most common types of quantities.Providing a comprehensive review of the available literature and pointing to the best practice methods and future research needs.Using examples from many disciplines, including statistics, psychology, engineering and health sciences.Including an extensive glossary of statistical and psychological terms. An ideal source and guide for statisticians and psychologists with interests in expert judgement or practical applications of Bayesian analysis, Uncertain Judgements will also benefit decision-makers, risk analysts, engineers and researchers in the medical and social sciences.

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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Condizione: New. In.

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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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EUR 160,17
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Condizione: As New. Unread book in perfect condition.

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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Condizione: New.

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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. Condizione: Neu. Neuware - Elicitation is the process of extracting expert knowledge about some unknown quantity or quantities, and formulating that information as a probability distribution. Elicitation is important in situations, such as modelling the safety of nuclear installations or assessing the risk of terrorist att…acks, where expert knowledge is essentially the only source of good information. It also plays a major role in other contexts by augmenting scarce observational data, through the use of Bayesian statistical methods. However, elicitation is not a simple task, and practitioners need to be aware of a wide range of research findings in order to elicit expert judgements accurately and reliably. Uncertain Judgements introduces the area, before guiding the reader through the study of appropriate elicitation methods, illustrated by a variety of multi-disciplinary examples.This is achieved by:\* Presenting a methodological framework for the elicitation of expert knowledge incorporating findings from both statistical and psychological research.\* Detailing techniques for the elicitation of a wide range of standard distributions, appropriate to the most common types of quantities.\* Providing a comprehensive review of the available literature and pointing to the best practice methods and future research needs.\* Using examples from many disciplines, including statistics, psychology, engineering and health sciences.\* Including an extensive glossary of statistical and psychological terms.An ideal source and guide for statisticians and psychologists with interests in expert judgement or practical applications of Bayesian analysis, Uncertain Judgements will also benefit decision-makers, risk analysts, engineers and researchers in the medical and social sciences.

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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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EUR 161,59
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Condizione: New. Statistical inference is the foundation on which much of statistical practice is built. This book covers the topic at a level suitable for students and professionals who need to understand these foundations. Num Pages: 342 pages, numerous tables and figures. BIC Classification: PBT. Category: (P) Professional &…Vocational. Dimension: 242 x 168 x 32. Weight in Grams: 640. . 2002. 2nd Edition. hardcover. . . . .

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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Condizione: As New. Unread book in perfect condition.

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Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA
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EUR 185,39
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Hardback. Condizione: New. 2nd. Adopting a broad view of statistical inference, this text concentrates on what various techniques do, with mathematical proofs kept to a minimum. The approach is rigorous, but will be accessible to final year undergraduates. Classical approaches to point estimation, hypothesis testing and interval… estimation are all covered thoroughly, with recent developments outlined. Separate chapters are devoted to Bayesian inference, to decision theory and to non-parametric and robust inference. The increasingly important topics of computationally intensive methods and generalised linear models are also included. In this edition, the material on recent developments has been updated, and additional exercises are included in most chapters.

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Da: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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EUR 205,56
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Condizione: New. Statistical inference is the foundation on which much of statistical practice is built. This book covers the topic at a level suitable for students and professionals who need to understand these foundations. Num Pages: 342 pages, numerous tables and figures. BIC Classification: PBT. Category: (P) Professional &…Vocational. Dimension: 242 x 168 x 32. Weight in Grams: 640. . 2002. 2nd Edition. hardcover. . . . . Books ship from the US and Ireland.

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Da: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, GermaniaBUCHSERVICE / ANTIQUARIAT Lars Lutzer
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Hardcover. Condizione: gut. Statistical Inference (Oxford Science Publications) In englischer Sprache. pages.

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Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
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EUR 174,67
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Hardback. Condizione: New. 2nd. Adopting a broad view of statistical inference, this text concentrates on what various techniques do, with mathematical proofs kept to a minimum. The approach is rigorous, but will be accessible to final year undergraduates. Classical approaches to point estimation, hypothesis testing and interval… estimation are all covered thoroughly, with recent developments outlined. Separate chapters are devoted to Bayesian inference, to decision theory and to non-parametric and robust inference. The increasingly important topics of computationally intensive methods and generalised linear models are also included. In this edition, the material on recent developments has been updated, and additional exercises are included in most chapters.