Idioma: Inglés
Publicado por Cambridge University Press (edition 1), 2010
ISBN 10: 0521150124 ISBN 13: 9780521150125
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Idioma: Inglés
Publicado por Cambridge University Press, 2010
ISBN 10: 0521150124 ISBN 13: 9780521150125
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Idioma: Inglés
Publicado por Cambridge University Press, 2010
ISBN 10: 0521150124 ISBN 13: 9780521150125
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Idioma: Inglés
Publicado por Cambridge University Press, 2010
ISBN 10: 0521150124 ISBN 13: 9780521150125
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Idioma: Inglés
Publicado por Cambridge University Press 2010-05, 2010
ISBN 10: 0521150124 ISBN 13: 9780521150125
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Idioma: Inglés
Publicado por Cambridge University Press, 2010
ISBN 10: 0521150124 ISBN 13: 9780521150125
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Idioma: Inglés
Publicado por Cambridge University Press, 2010
ISBN 10: 0521150124 ISBN 13: 9780521150125
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Añadir al carritoCondición: New. A clear exposition of the underlying concepts, containing large numbers of worked examples and problem sets, first published in 2005. Num Pages: 488 pages, 132 b/w illus. 74 exercises. BIC Classification: PBT; PGC. Category: (P) Professional & Vocational. Dimension: 245 x 175 x 25. Weight in Grams: 834. . 2010. Illustrated. paperback. . . . .
Idioma: Inglés
Publicado por Cambridge University Press, 2010
ISBN 10: 0521150124 ISBN 13: 9780521150125
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
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Añadir al carritoCondición: New. A clear exposition of the underlying concepts, containing large numbers of worked examples and problem sets, first published in 2005. Num Pages: 488 pages, 132 b/w illus. 74 exercises. BIC Classification: PBT; PGC. Category: (P) Professional & Vocational. Dimension: 245 x 175 x 25. Weight in Grams: 834. . 2010. Illustrated. paperback. . . . . Books ship from the US and Ireland.
Idioma: Inglés
Publicado por Cambridge University Press, 2010
ISBN 10: 0521150124 ISBN 13: 9780521150125
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Idioma: Inglés
Publicado por Cambridge University Press, 2010
ISBN 10: 0521150124 ISBN 13: 9780521150125
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Idioma: Inglés
Publicado por Cambridge University Press, 2010
ISBN 10: 0521150124 ISBN 13: 9780521150125
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Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2010
ISBN 10: 0521150124 ISBN 13: 9780521150125
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Añadir al carritoPaperback. Condición: new. Paperback. Bayesian inference provides a simple and unified approach to data analysis, allowing experimenters to assign probabilities to competing hypotheses of interest, on the basis of the current state of knowledge. By incorporating relevant prior information, it can sometimes improve model parameter estimates by many orders of magnitude. This book provides a clear exposition of the underlying concepts with many worked examples and problem sets. It also discusses implementation, including an introduction to Markov chain Monte-Carlo integration and linear and nonlinear model fitting. Particularly extensive coverage of spectral analysis (detecting and measuring periodic signals) includes a self-contained introduction to Fourier and discrete Fourier methods. There is a chapter devoted to Bayesian inference with Poisson sampling, and three chapters on frequentist methods help to bridge the gap between the frequentist and Bayesian approaches. Supporting Mathematica notebooks with solutions to selected problems, additional worked examples, and a Mathematica tutorial are available at Increasingly, researchers in many branches of science are coming into contact with Bayesian statistics or Bayesian probability theory. This book provides a clear exposition of the underlying concepts with large numbers of worked examples and problem sets. Background material is provided in appendices and supporting Mathematica notebooks are available. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Idioma: Inglés
Publicado por Cambridge University Press, 2010
ISBN 10: 0521150124 ISBN 13: 9780521150125
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoPaperback. Condición: Brand New. 1st edition. 485 pages. 9.69x6.85x0.94 inches. In Stock. This item is printed on demand.
Idioma: Inglés
Publicado por Cambridge University Press, 2010
ISBN 10: 0521150124 ISBN 13: 9780521150125
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Idioma: Inglés
Publicado por Cambridge University Press, 2010
ISBN 10: 0521150124 ISBN 13: 9780521150125
Librería: Majestic Books, Hounslow, Reino Unido
EUR 126,41
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Añadir al carritoCondición: New. Print on Demand pp. 488 132 Illus.
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2010
ISBN 10: 0521150124 ISBN 13: 9780521150125
Librería: CitiRetail, Stevenage, Reino Unido
EUR 93,35
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Añadir al carritoPaperback. Condición: new. Paperback. Bayesian inference provides a simple and unified approach to data analysis, allowing experimenters to assign probabilities to competing hypotheses of interest, on the basis of the current state of knowledge. By incorporating relevant prior information, it can sometimes improve model parameter estimates by many orders of magnitude. This book provides a clear exposition of the underlying concepts with many worked examples and problem sets. It also discusses implementation, including an introduction to Markov chain Monte-Carlo integration and linear and nonlinear model fitting. Particularly extensive coverage of spectral analysis (detecting and measuring periodic signals) includes a self-contained introduction to Fourier and discrete Fourier methods. There is a chapter devoted to Bayesian inference with Poisson sampling, and three chapters on frequentist methods help to bridge the gap between the frequentist and Bayesian approaches. Supporting Mathematica notebooks with solutions to selected problems, additional worked examples, and a Mathematica tutorial are available at Increasingly, researchers in many branches of science are coming into contact with Bayesian statistics or Bayesian probability theory. This book provides a clear exposition of the underlying concepts with large numbers of worked examples and problem sets. Background material is provided in appendices and supporting Mathematica notebooks are available. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Idioma: Inglés
Publicado por Cambridge University Press, 2010
ISBN 10: 0521150124 ISBN 13: 9780521150125
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 126,66
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Añadir al carritoCondición: New. PRINT ON DEMAND pp. 488.
Idioma: Inglés
Publicado por Cambridge University Press, 2010
ISBN 10: 0521150124 ISBN 13: 9780521150125
Librería: moluna, Greven, Alemania
EUR 93,90
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Increasingly, researchers in many branches of science are coming into contact with Bayesian statistics or Bayesian probability theory. This book provides a clear exposition of the underlying concepts with large numbers of worked examples and problem sets. B.
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2010
ISBN 10: 0521150124 ISBN 13: 9780521150125
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 136,10
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Añadir al carritoPaperback. Condición: new. Paperback. Bayesian inference provides a simple and unified approach to data analysis, allowing experimenters to assign probabilities to competing hypotheses of interest, on the basis of the current state of knowledge. By incorporating relevant prior information, it can sometimes improve model parameter estimates by many orders of magnitude. This book provides a clear exposition of the underlying concepts with many worked examples and problem sets. It also discusses implementation, including an introduction to Markov chain Monte-Carlo integration and linear and nonlinear model fitting. Particularly extensive coverage of spectral analysis (detecting and measuring periodic signals) includes a self-contained introduction to Fourier and discrete Fourier methods. There is a chapter devoted to Bayesian inference with Poisson sampling, and three chapters on frequentist methods help to bridge the gap between the frequentist and Bayesian approaches. Supporting Mathematica notebooks with solutions to selected problems, additional worked examples, and a Mathematica tutorial are available at Increasingly, researchers in many branches of science are coming into contact with Bayesian statistics or Bayesian probability theory. This book provides a clear exposition of the underlying concepts with large numbers of worked examples and problem sets. Background material is provided in appendices and supporting Mathematica notebooks are available. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.