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UNCERTAINTY: THE SOUL OF MODELING, PROBABILITY & By William Briggs - Hardcover
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Libro en perfecto estado y poco leído. La tapa no tiene desperfectos y si procede, con sobrecubierta para las tapas duras. Incluye todas las páginas sin arrugas ni roturas. El texto no está subrayado ni resaltado de forma alguna, y no hay anotaciones en los márgenes. Puede presentar marcas de identificación mínimas en la contraportada o las guardas. Muy poco usado. Consulta el anuncio del vendedor para obtener más información y la descripción de cualquier posible imperfección.
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N.º de artículo de eBay:187430594509
Características del artículo
- Estado
- Como nuevo
- Notas del vendedor
- ISBN-10
- 3319397559
- Book Title
- Uncertainty: The Soul of Modeling, Probability & Statistics
- Item Height
- 9.21 inches
- ISBN
- 9783319397559
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Product Identifiers
Publisher
Springer International Publishing A&G
ISBN-10
3319397559
ISBN-13
9783319397559
eBay Product ID (ePID)
224018237
Product Key Features
Number of Pages
Xix, 258 Pages
Publication Name
Uncertainty : the Soul of Modeling, Probability and Statistics
Language
English
Publication Year
2016
Subject
History & Philosophy, Epistemology, Probability & Statistics / General, General
Type
Textbook
Subject Area
Mathematics, Philosophy, Psychology
Format
Hardcover
Dimensions
Item Weight
192 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Reviews
"Briggs, an adjunct professor of statistics at Cornell University, cautions his readers to carefully examine the uncertain reliability of such conclusions when these tools are used. His challenging premises are thoroughly supported by philosophical explanations as to why these traditional approaches need to be questioned. ... Briggs provides fully fleshed out reasoning, impressive support, precisely worded insight, and graphical illustrations, as appropriate, to justify his stand. ... Summing Up: Recommended. Upper-division undergraduates and above; faculty and professionals." (N. W. Schillow, Choice, Vol. 54 (6), February, 2017) "[This book] is not for sissies, true, but its clear-headed (i.e., Aristotelian) approach to the subject of truth (which, in the end, is what exercises in probability and statistical analysis are all about, notwithstanding what they tell you in school) is refreshing: a long, cool drink of plain speaking about intellectual topics that, in these hot and humid days, is as enlivening as it is enlightening." (Roger Kimball, The New Criterion's Critic's Notebook, newcriterion.com, August, 2016) "This book has the potential to turn the world of evidence-based medicine upside down. It boldly asserts that with regard to everything having to do with evidence, we're doing it all wrong: probability, statistics, causality, modeling, deciding, communicating--everything. ... the book is full of humor and a delight to read and re-read." (Jane M. Orient, Journal of American Physicians and Surgeons, Vol. 21 (3), 2016), "Briggs, an adjunct professor of statistics at Cornell University, cautions his readers to carefully examine the uncertain reliability of such conclusions when these tools are used. His challenging premises are thoroughly supported by philosophical explanations as to why these traditional approaches need to be questioned. ... Briggs provides fully fleshed out reasoning, impressive support, precisely worded insight, and graphical illustrations, as appropriate, to justify his stand. ... Summing Up: Recommended. Upper-division undergraduates and above; faculty and professionals." (N. W. Schillow, Choice, Vol. 54 (6), February, 2017) "This is a book about probability and probabilistic reasoning. It is more philosophy than mathematics, but it does have mathematical content and it relies in some measure on mathematical reasoning. ... This book is worth a look by anyone who teaches probability and statistics." (William J. Satzer, MAA Reviews, August, 2016) "[This book] is not for sissies, true, but its clear-headed (i.e., Aristotelian) approach to the subject of truth (which, in the end, is what exercises in probability and statistical analysis are all about, notwithstanding what they tell you in school) is refreshing: a long, cool drink of plain speaking about intellectual topics that, in these hot and humid days, is as enlivening as it is enlightening." (Roger Kimball, The New Criterion's Critic's Notebook, newcriterion.com, August, 2016) "This book has the potential to turn the world of evidence-based medicine upside down. It boldly asserts that with regard to everything having to do with evidence, we're doing it all wrong: probability, statistics, causality, modeling, deciding, communicating--everything. ... the book is full of humor and a delight to read and re-read." (Jane M. Orient, Journal of American Physicians and Surgeons, Vol. 21 (3), 2016)
Number of Volumes
1 vol.
Illustrated
Yes
Table Of Content
Truth, Argument, Realism.- Logic.- Induction and Intellection.- What Probability Is.- What Probability Is Not.- Chance and Randomness.- Causality.- Probability Models.- Statistical and Physical Models.- Modelling Goals, Strategies, and Mistakes.
Synopsis
This book presents a philosophical approach to probability and probabilistic thinking, considering the underpinnings of probabilistic reasoning and modeling, which effectively underlie everything in data science. The ultimate goal is to call into question many standard tenets and lay the philosophical and probabilistic groundwork and infrastructure for statistical modeling. It is the first book devoted to the philosophy of data aimed at working scientists and calls for a new consideration in the practice of probability and statistics to eliminate what has been referred to as the "Cult of Statistical Significance." The book explains the philosophy of these ideas and not the mathematics, though there are a handful of mathematical examples. The topics are logically laid out, starting with basic philosophy as related to probability, statistics, and science, and stepping through the key probabilistic ideas and concepts, and ending with statistical models. Its jargon-free approach asserts that standard methods, such as out-of-the-box regression, cannot help in discovering cause. This new way of looking at uncertainty ties together disparate fields -- probability, physics, biology, the "soft" sciences, computer science -- because each aims at discovering cause (of effects). It broadens the understanding beyond frequentist and Bayesian methods to propose a Third Way of modeling.
LC Classification Number
QA276-280
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- 8***g (252)- Votos emitidos por el comprador.Últimos 6 mesesCompra verificadaA smooth and professional transaction throughout. The item was exactly as described, clearly listed, and fairly priced. Communication from the seller was prompt, polite, and helpful, with dispatch confirmed quickly. The parcel was securely packaged and arrived in excellent condition, ahead of the expected delivery date. Care was taken at every stage of the process. I would be happy to buy from this seller again—many thanks for a reliable and well-handled sale.FINLAND AND EUROPE: INTERNATIONAL CRISES IN THE PERIOD OF By Juhani Paasivirta (#335694307643)
- a***2 (13)- Votos emitidos por el comprador.Últimos 6 mesesCompra verificadaItem was shipped quickly and packaged well. Item was exactly as described, brand new and it was even sealed. The seller also messaged me as soon as the purchase went through so communication was great. This was the last book in the series that I needed and to be able to find it in such great condition and at a great cost was unexpected. Highly recommend this seller and will definitely buy from again in the future.
- e***2 (1298)- Votos emitidos por el comprador.Últimos 6 mesesCompra verificadaMint condition and brand new, at the most competitive price. Top customer service, which includes: communication, professional packaging which protected the dust cover from bending and corners from bumping. Speedy shipping and delivery from across the country. A highly recommended seller with whom I would easily shop again. Thank you!
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