9781584886662 - applied stochastic modelling di morgan, byron j.t. (17 risultati)

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Paperback. 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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Condizione: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

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

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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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EUR 110,42
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Paperback. Condizione: new. Paperback. Highlighting modern computational methods, Applied Stochastic Modelling, Second Edition provides students with the practical experience of scientific computing in applied statistics through a range of interesting real-world applications. It also successfully revises standard probability and… statistical theory. Along with an updated bibliography and improved figures, this edition offers numerous updates throughout. New to the Second Edition An extended discussion on Bayesian methods A large number of new exercises A new appendix on computational methods The book covers both contemporary and classical aspects of statistics, including survival analysis, Kernel density estimation, Markov chain Monte Carlo, hypothesis testing, regression, bootstrap, and generalised linear models. Although the book can be used without reference to computational programs, the author provides the option of using powerful computational tools for stochastic modelling. All of the data sets and MATLAB(R) and R programs found in the text as well as lecture slides and other ancillary material are available for download at Continuing in the bestselling tradition of its predecessor, this textbook remains an excellent resource for teaching students how to fit stochastic models to data. Covers both contemporary and classical aspects of statistics, including survival analysis, Kernel density estimation, Markov chain Monte Carlo, hypothesis testing, regression, bootstrap, and generalised linear models. This work provides the option of using powerful computational tools for stochastic modelling. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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

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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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EUR 103,28
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Condizione: As New. Unread book in perfect condition.

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Da: THE SAINT BOOKSTORE, Southport, Regno UnitoTHE SAINT BOOKSTORE
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Paperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.

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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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EUR 105,13
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Condizione: New.

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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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EUR 121,80
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Condizione: New. pp. 368 Index 2nd Edition.

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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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EUR 122,56
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Condizione: New. Covers both contemporary and classical aspects of statistics, including survival analysis, Kernel density estimation, Markov chain Monte Carlo, hypothesis testing, regression, bootstrap, and generalised linear models. This work provides the option of using powerful computational tools for stochastic modelling. S…eries Editor(s): Zidek, James V.; Tanner, Martin Abba; Carlin, Bradley P. Series: Chapman & Hall/CRC Texts in Statistical Science. Num Pages: 368 pages, 73 black & white illustrations. BIC Classification: PBWL. Category: (P) Professional & Vocational. Dimension: 235 x 154 x 19. Weight in Grams: 520. . 2008. 2nd Edition. paperback. . . . .

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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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EUR 124,19
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Condizione: New. pp. 368.

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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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EUR 142,28
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Paperback. Condizione: Brand New. 2nd edition. 368 pages. 9.21x5.98x0.71 inches. In Stock.

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Da: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 151,02
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Condizione: New. Covers both contemporary and classical aspects of statistics, including survival analysis, Kernel density estimation, Markov chain Monte Carlo, hypothesis testing, regression, bootstrap, and generalised linear models. This work provides the option of using powerful computational tools for stochastic modelling. S…eries Editor(s): Zidek, James V.; Tanner, Martin Abba; Carlin, Bradley P. Series: Chapman & Hall/CRC Texts in Statistical Science. Num Pages: 368 pages, 73 black & white illustrations. BIC Classification: PBWL. Category: (P) Professional & Vocational. Dimension: 235 x 154 x 19. Weight in Grams: 520. . 2008. 2nd Edition. paperback. . . . . Books ship from the US and Ireland.

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Da: moluna, Greven, Germaniamoluna
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EUR 109,14
EUR 48,99 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Condizione: New. Byron J.T. MorganHighlighting modern computational methods, Applied Stochastic Modelling, Second Edition provides students with the practical experience of scientific computing in applied statistics through a range of interesting rea.

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Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 183,69
EUR 32,04 spedizioneSpedito da Australia a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. Highlighting modern computational methods, Applied Stochastic Modelling, Second Edition provides students with the practical experience of scientific computing in applied statistics through a range of interesting real-world applications. It also successfully revises standard probability and… statistical theory. Along with an updated bibliography and improved figures, this edition offers numerous updates throughout. New to the Second Edition An extended discussion on Bayesian methods A large number of new exercises A new appendix on computational methods The book covers both contemporary and classical aspects of statistics, including survival analysis, Kernel density estimation, Markov chain Monte Carlo, hypothesis testing, regression, bootstrap, and generalised linear models. Although the book can be used without reference to computational programs, the author provides the option of using powerful computational tools for stochastic modelling. All of the data sets and MATLAB(R) and R programs found in the text as well as lecture slides and other ancillary material are available for download at Continuing in the bestselling tradition of its predecessor, this textbook remains an excellent resource for teaching students how to fit stochastic models to data. Covers both contemporary and classical aspects of statistics, including survival analysis, Kernel density estimation, Markov chain Monte Carlo, hypothesis testing, regression, bootstrap, and generalised linear models. This work provides the option of using powerful computational tools for stochastic modelling. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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- Print on Demand
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 107,06
EUR 7,61 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 3 disponibili
Condizione: New. pp. 368 73 Illus. This item is printed on demand.