A certain uncertainty: nature's random ways/ Mark P Silverman.
Publication details: Cambridge: Cambridge University Press, 2014.Description: xvi, 617 p. illustrationsISBN:- 9781107032811 (hardback)
- 530.159 5 Q4
Item type | Current library | Call number | Status | Date due | Barcode | Item holds |
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Books | Mahatma Gandhi University Library General Stacks | 530.159 5 Q4 (Browse shelf(Opens below)) | Available | 55307 |
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530.1522 P5 Group theory with applications in chemical physics / | 530.155 13 P7 A Dressing method in mathematical physics | 530.155 353 Q2 Physics and partial differential equations/ | 530.159 5 Q4 A certain uncertainty: | 530.159 5 R0 Probability and statistics in the physical sciences/ | 530.159 534 Q4 Large deviations in physics: | 530.41 N4 Topics in condensed matter physics: lecture notes of refresher course in physics |
Includes bibliographical references (pages 611-612) and index.
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"--
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