Articles liés à Introduction to Probability with Statistical Applications
Synopsis
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)
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Geza Schay is Professor Emeritus at the University of Massachusetts, Boston, College of Science and Mathematics.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Introduction to Probability with Statistical Appli
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Introduction to Probability with Statistical Applications
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Springer International Publishing, 2018
ISBN 10 : 3319808524
ISBN 13 : 9783319808529
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Etat : 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. N° de réf. du vendeur 458621222
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Introduction to Probability with Statistical Applications
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Springer (India) Private Limited, 2018
ISBN 10 : 3319808524
ISBN 13 : 9783319808529
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Vendeur : Books Puddle, New York, NY, Etats-Unis
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Etat : New. pp. 385. N° de réf. du vendeur 26375697183
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Introduction to Probability with Statistical Applications
Edité par
Springer (India) Private Limited, 2018
ISBN 10 : 3319808524
ISBN 13 : 9783319808529
Neuf
Couverture souple
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Introduction to Probability with Statistical Applications
Edité par
Springer (India) Private Limited, 2018
ISBN 10 : 3319808524
ISBN 13 : 9783319808529
Neuf
Couverture souple
Vendeur : Majestic Books, Hounslow, Royaume-Uni
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Introduction to Probability with Statistical Applications
Edité par
Springer International Publishing, Springer Nature Switzerland, 2018
ISBN 10 : 3319808524
ISBN 13 : 9783319808529
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : 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). N° de réf. du vendeur 9783319808529
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Introduction to Probability with Statistical Applications
ISBN 10 : 3319808524
ISBN 13 : 9783319808529
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9783319808529
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Introduction to Probability with Statistical Applications
ISBN 10 : 3319808524
ISBN 13 : 9783319808529
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9783319808529
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Introduction to Probability with Statistical Applications
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Paperback. Etat : Brand New. 2nd reprint edition. 385 pages. 9.25x6.10x0.91 inches. In Stock. N° de réf. du vendeur 3319808524
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