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Applied Stochastic Modelling by Morgan Byron (30 results)
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Condition: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Applied Stochastic Modelling (Chapman & Hall/CRC Texts in Statistical Science)
Language: English
Published by Chapman and Hall/CRC, 2008
ISBN 10: 1584886668 ISBN 13: 9781584886662
Paperback. Condition: 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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N.A. Condition: New. ISBN:9780367414580.
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Applied Stochastic Modelling
Language: English
Published by Chapman and Hall/CRC, 2012
ISBN 10: 1584886668 ISBN 13: 9781584886662
Condition: As New. Unread book in perfect condition.
-
Applied Stochastic Modelling
Language: English
Published by Chapman and Hall/CRC, 2012
ISBN 10: 1584886668 ISBN 13: 9781584886662
Condition: New.
-
Applied Stochastic Modelling (Paperback)
Language: English
Published by Taylor & Francis Inc, 2008
ISBN 10: 1584886668 ISBN 13: 9781584886662
Paperback. Condition: 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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Applied Stochastic Modelling
Language: English
Published by Chapman and Hall/CRC, 2012
ISBN 10: 1584886668 ISBN 13: 9781584886662
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
-
Applied Stochastic Modelling (Chapman & Hall/CRC Texts in Statistical Science)
Language: English
Published by Chapman and Hall/CRC, 2012
ISBN 10: 1584886668 ISBN 13: 9781584886662
Paperback. Condition: New. In shrink wrap. Looks like an interesting title!
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Applied Stochastic Modelling
Language: English
Published by Taylor & Francis Inc, 2012
ISBN 10: 1584886668 ISBN 13: 9781584886662
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
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Applied Stochastic Modelling
Language: English
Published by Chapman and Hall/CRC, 2012
ISBN 10: 1584886668 ISBN 13: 9781584886662
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Applied Stochastic Modelling
Language: English
Published by Taylor & Francis Group, 2012
ISBN 10: 1584886668 ISBN 13: 9781584886662
Condition: New. pp. 368 Index 2nd Edition.
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Applied Stochastic Modelling
Language: English
Published by Chapman and Hall/CRC, 2008
ISBN 10: 1584886668 ISBN 13: 9781584886662
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: 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. Series 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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Applied Stochastic Modelling
Language: English
Published by Taylor & Francis Group, 2012
ISBN 10: 1584886668 ISBN 13: 9781584886662
Condition: New. pp. 368.
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Paperback. Condition: Brand New. 2nd edition. 368 pages. 9.21x5.98x0.71 inches. In Stock.
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Condition: 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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Applied Stochastic Modelling
Language: English
Published by Chapman and Hall/CRC, 2012
ISBN 10: 1584886668 ISBN 13: 9781584886662
Condition: 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. Series 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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Applied Stochastic Modelling
Language: English
Published by Taylor & Francis Inc Dez 2008, 2008
ISBN 10: 1584886668 ISBN 13: 9781584886662
Taschenbuch. Condition: Neu. Neuware - Highlighting modern computational methods, this updated 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.
-
Applied Stochastic Modelling (Paperback)
Language: English
Published by Taylor & Francis Inc, 2008
ISBN 10: 1584886668 ISBN 13: 9781584886662
Paperback. Condition: 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.
-
Applied Stochastic Modelling
Language: English
Published by Chapman and Hall/CRC, 2017
ISBN 10: 1138469696 ISBN 13: 9781138469693
Condition: As New. Unread book in perfect condition.
-
Applied Stochastic Modelling
Language: English
Published by Chapman and Hall/CRC, 2017
ISBN 10: 1138469696 ISBN 13: 9781138469693
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
-
Applied Stochastic Modelling
Language: English
Published by Chapman and Hall/CRC, 2017
ISBN 10: 1138469696 ISBN 13: 9781138469693
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
-
Applied Stochastic Modelling
Language: English
Published by Chapman and Hall/CRC, 2017
ISBN 10: 1138469696 ISBN 13: 9781138469693
Condition: New.
-
Applied Stochastic Modelling (Hardcover)
Language: English
Published by Taylor & Francis Ltd, London, 2017
ISBN 10: 1138469696 ISBN 13: 9781138469693
Hardcover. Condition: new. Hardcover. 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 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.
-
Applied Stochastic Modelling, Second Edition
Language: English
Published by Chapman and Hall/CRC, 2017
ISBN 10: 1138469696 ISBN 13: 9781138469693
Condition: New.
-
Applied Stochastic Modelling, Second Edition
Language: English
Published by Chapman and Hall/CRC, 2017
ISBN 10: 1138469696 ISBN 13: 9781138469693
Condition: New.
-
Applied Stochastic Modelling, Second Edition
Language: English
Published by Chapman and Hall/CRC, 2017
ISBN 10: 1138469696 ISBN 13: 9781138469693
Condition: New.
-
Hardcover. Condition: Brand New. 2nd new edition. 368 pages. 10.00x7.01x0.91 inches. In Stock.
-
Applied Stochastic Modelling (Hardcover)
Language: English
Published by Taylor & Francis Ltd, London, 2017
ISBN 10: 1138469696 ISBN 13: 9781138469693
Hardcover. Condition: new. Hardcover. 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 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.
-
Applied Stochastic Modelling
Language: English
Published by Taylor & Francis Group, 2012
ISBN 10: 1584886668 ISBN 13: 9781584886662
Condition: New. pp. 368 73 Illus. This item is printed on demand.
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 real-world applicati.
