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A certain uncertaintynature's random...

Silverman, Mark P.

A certain uncertaintynature's random ways /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	A certain uncertainty/ Mark P. Silverman.
其他題名:	nature's random ways /
作者:	Silverman, Mark P.
出版者:	Cambridge :Cambridge University Press, : 2014.,
面頁冊數:	xvi, 617 p. :ill., digital ; : 24 cm.;
提要註:	Based around a series of real-life scenarios, this engaging introduction to statistical reasoning will teach you how to apply powerful statistical, qualitative and probabilistic tools in a technical context. From analysis of electricity bills, baseball statistics, and stock market fluctuations, through to profound questions about physics of fermions and bosons, decaying nuclei, and climate change, each chapter introduces relevant physical, statistical and mathematical principles step-by-step in an engaging narrative style, helping to develop practical proficiency in the use of probability and statistical reasoning. With numerous illustrations making it easy to focus on the most important information, this insightful book is perfect for students and researchers of any discipline interested in the interwoven tapestry of probability, statistics, and physics.
標題:	Mathematical physics. -
電子資源:	https://doi.org/10.1017/CBO9781139507370
ISBN:	9781139507370

A certain uncertaintynature's random ways /
Silverman, Mark P.

A certain uncertaintynature's random ways /[electronic resource] :Mark P. Silverman. - Cambridge :Cambridge University Press,2014. - xvi, 617 p. :ill., digital ;24 cm.

1. Tools of the trade -- The 'fundamental problem' of a practical physicist -- 3. Mother of all randomness -- 4. Mother of all randomness -- 5. A certain uncertainty -- 6. Doing the numbers: nuclear physics and the stock market -- 7. On target: uncertainties of projectile flight -- 8. The guesses of groups -- 9. The random flow of energy -- 10. The random flow of energy -- Bibliography -- Index.

Based around a series of real-life scenarios, this engaging introduction to statistical reasoning will teach you how to apply powerful statistical, qualitative and probabilistic tools in a technical context. From analysis of electricity bills, baseball statistics, and stock market fluctuations, through to profound questions about physics of fermions and bosons, decaying nuclei, and climate change, each chapter introduces relevant physical, statistical and mathematical principles step-by-step in an engaging narrative style, helping to develop practical proficiency in the use of probability and statistical reasoning. With numerous illustrations making it easy to focus on the most important information, this insightful book is perfect for students and researchers of any discipline interested in the interwoven tapestry of probability, statistics, and physics.

ISBN: 9781139507370Subjects--Topical Terms:

242968
Mathematical physics.

LC Class. No.: QC174.8 / .S545 2014

Dewey Class. No.: 530.1595

A certain uncertaintynature's random ways /
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505 0 $a 1. Tools of the trade -- The 'fundamental problem' of a practical physicist -- 3. Mother of all randomness -- 4. Mother of all randomness -- 5. A certain uncertainty -- 6. Doing the numbers: nuclear physics and the stock market -- 7. On target: uncertainties of projectile flight -- 8. The guesses of groups -- 9. The random flow of energy -- 10. The random flow of energy -- Bibliography -- Index.
520 $a Based around a series of real-life scenarios, this engaging introduction to statistical reasoning will teach you how to apply powerful statistical, qualitative and probabilistic tools in a technical context. From analysis of electricity bills, baseball statistics, and stock market fluctuations, through to profound questions about physics of fermions and bosons, decaying nuclei, and climate change, each chapter introduces relevant physical, statistical and mathematical principles step-by-step in an engaging narrative style, helping to develop practical proficiency in the use of probability and statistical reasoning. With numerous illustrations making it easy to focus on the most important information, this insightful book is perfect for students and researchers of any discipline interested in the interwoven tapestry of probability, statistics, and physics.
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856 4 0 $u https://doi.org/10.1017/CBO9781139507370

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