Now in its second edition, this textbook serves as an introduction to probability and statistics for non-mathematics majors who do not need the exhaustive detail and mathematical depth provided in more comprehensive treatments of the subject. The presentation covers the mathematical laws of random phenomena, including discrete and continuous random variables, expectation and variance, and common probability distributions such as the binomial, Poisson, and normal distributions. More classical examples such as Montmort's problem, the ballot problem, and Bertrand’s paradox are now included, along with applications such as the Maxwell-Boltzmann and Bose-Einstein distributions in physics.
Key features in new edition:
* 35 new exercises
* Expanded section on the algebra of sets* Expanded chapters on probabilities to include more classical examples
* New section on regression
* Online instructors' manual containing solutions to all exercises<
Advanced undergraduate and graduate students in computer science, engineering, and other natural and social sciences with only a basic background in calculus will benefit from this introductory text balancing theory with applications.
Review of the first edition:
This textbook is a classical and well-written introduction to probability theory and statistics. … the book is written ‘for an audience such as computer science students, whose mathematical background is not very strong and who do not need the detail and mathematical depth of similar books written for mathematics or statistics majors.’ … Each new concept is clearly explained and is followed by many detailed examples. … numerous examples of calculations are given and proofs are well-detailed." (Sophie Lemaire, Mathematical Reviews, Issue 2008 m)
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Geza Schay is Professor Emeritus at the University of Massachusetts, Boston, College of Science and Mathematics.
Now in its second edition, this textbook serves as an introduction to probability and statistics for non-mathematics majors who do not need the exhaustive detail and mathematical depth provided in more comprehensive treatments of the subject. The presentation covers the mathematical laws of random phenomena, including discrete and continuous random variables, expectation and variance, and common probability distributions such as the binomial, Poisson, and normal distributions. More classical examples such as Montmort's problem, the ballot problem, and Bertrand s paradox are now included, along with applications such as the Maxwell-Boltzmann and Bose-Einstein distributions in physics.
Key features in new edition:
* 35 new exercises* Expanded section on the algebra of sets
* Expanded chapters on probabilities to include more classical examples
* New section on regression
* Online instructors' manual containing solutions to all exercises
This textbook is a classical and well-written introduction to probability theory and statistics. the book is written for an audience such as computer science students, whose mathematical background is not very strong and who do not need the detail and mathematical depth of similar books written for mathematics or statistics majors. Each new concept is clearly explained and is followed by many detailed examples. numerous examples of calculations are given and proofs are well-detailed." (Sophie Lemaire, Mathematical Reviews, Issue 2008 m)Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Destinazione, tempi e costiDa: Basi6 International, Irving, TX, U.S.A.
Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. Codice articolo ABEJUNE24-23888
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Da: moluna, Greven, Germania
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Includes nearly 400 exercises and examples allowing students to internalize new conceptsTheory and applications carefully balancedProvides a rigorous discussion with carefully motivated definitions, theorems, and proofsSolution M. Codice articolo 458621222
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Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 385. Codice articolo 26375697183
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Da: Biblios, Frankfurt am main, HESSE, Germania
Condizione: New. Codice articolo 18375697173
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Da: Majestic Books, Hounslow, Regno Unito
Condizione: New. pp. 385. Codice articolo 370348224
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Now in its second edition, this textbookserves asan introduction to probability and statistics for non-mathematics majors who do not need the exhaustive detail and mathematical depth provided in more comprehensive treatments of the subject. The presentation covers the mathematical laws of random phenomena, including discrete and continuous random variables, expectation and variance, and common probability distributions such as the binomial, Poisson, and normal distributions. More classical examples such as Montmort's problem, the ballot problem, and Bertrand's paradox are now included, along with applications such as the Maxwell-Boltzmann and Bose-Einstein distributions in physics.Key features in new edition:\* 35 new exercises\* Expanded section on the algebra of sets \* Expanded chapters on probabilities to include more classical examples\* New section on regression\* Online instructors' manual containing solutions to all exercisesAdvanced undergraduate and graduate students in computer science, engineering, and other natural and social sciences with only a basic background in calculus will benefit from this introductory text balancing theory with applications.Review of the first edition: This textbook is a classical and well-written introduction to probability theory and statistics. . the book is written 'for an audience such as computer science students, whose mathematical background is not very strong and who do not need the detail and mathematical depth of similar books written for mathematics or statistics majors.' . Each new concept is clearly explained and is followed by many detailed examples. . numerous examples of calculations are given and proofs are well-detailed.' (Sophie Lemaire, Mathematical Reviews, Issue 2008 m) 400 pp. Englisch. Codice articolo 9783319808529
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Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Now in its second edition, this textbookserves asan introduction to probability and statistics for non-mathematics majors who do not need the exhaustive detail and mathematical depth provided in more comprehensive treatments of the subject. The presentation covers the mathematical laws of random phenomena, including discrete and continuous random variables, expectation and variance, and common probability distributions such as the binomial, Poisson, and normal distributions. More classical examples such as Montmort's problem, the ballot problem, and Bertrand's paradox are now included, along with applications such as the Maxwell-Boltzmann and Bose-Einstein distributions in physics.Key features in new edition:\* 35 new exercises\* Expanded section on the algebra of sets \* Expanded chapters on probabilities to include more classical examples\* New section on regression\* Online instructors' manual containing solutions to all exercisesAdvanced undergraduate and graduate students in computer science, engineering, and other natural and social sciences with only a basic background in calculus will benefit from this introductory text balancing theory with applications.Review of the first edition: This textbook is a classical and well-written introduction to probability theory and statistics. . the book is written 'for an audience such as computer science students, whose mathematical background is not very strong and who do not need the detail and mathematical depth of similar books written for mathematics or statistics majors.' . Each new concept is clearly explained and is followed by many detailed examples. . numerous examples of calculations are given and proofs are well-detailed.' (Sophie Lemaire, Mathematical Reviews, Issue 2008 m). Codice articolo 9783319808529
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Taschenbuch. Condizione: Neu. Neuware -Now in its second edition, this textbook serves as an introduction to probability and statistics for non-mathematics majors who do not need the exhaustive detail and mathematical depth provided in more comprehensive treatments of the subject. The presentation covers the mathematical laws of random phenomena, including discrete and continuous random variables, expectation and variance, and common probability distributions such as the binomial, Poisson, and normal distributions. More classical examples such as Montmort's problem, the ballot problem, and Bertrand¿s paradox are now included, along with applications such as the Maxwell-Boltzmann and Bose-Einstein distributions in physics.Key features in new edition:\* 35 new exercises\* Expanded section on the algebra of sets\* Expanded chapters on probabilities to include more classical examples\* New section on regression\* Online instructors' manual containing solutions to all exercisesSpringer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 400 pp. Englisch. Codice articolo 9783319808529
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Da: Revaluation Books, Exeter, Regno Unito
Paperback. Condizione: Brand New. 2nd reprint edition. 385 pages. 9.25x6.10x0.91 inches. In Stock. Codice articolo 3319808524
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