ISBN: 9789811237492 - basic probability: what every math student should know (16 risultati)

hardcover. Condizione: Very Good.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New.

Hardback. Condizione: New. Second. The second edition represents an ongoing effort to make probability accessible to students in a wide range of fields such as mathematics, statistics and data science, engineering, computer science, and business analytics. The book is written for those learning about probability for the first time. Revised and updated, the book is aimed specifically at statistics and data science students who need a solid introduction to the basics of probability.While retaining its focus on basic probability, including Bayesian probability and the interface between probability and computer simulation, this edition's significant revisions are as follows:Many extra motivational examples and problems;New material on Bayesian probability, including two famous court cases;New sections on real-world applications of the Poisson distribution;New sections on generating functions and the bivariate normal density;New chapter on Markov chains, including Markov chain Monte Carlo simulation;The approach followed in the book is to develop probabilistic intuition before diving into details. The best way to learn probability is by practising on a lot of problems. Many instructive problems together with problem-solving strategies are given. Answers to all problems and worked-out solutions to selected problems are also provided.Henk Tijms is the author of several textbooks in the area of applied probability. In 2008, he had received the prestigious INFORMS Expository Writing Award for his work. He is active in popularizing probability at Dutch high schools.…

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New. In English.

Hardcover. Condizione: Brand New. 2nd edition. 180 pages. 9.00x6.00x0.50 inches. In Stock.

Hardback. Condizione: New. Second. The second edition represents an ongoing effort to make probability accessible to students in a wide range of fields such as mathematics, statistics and data science, engineering, computer science, and business analytics. The book is written for those learning about probability for the first time. Revised and updated, the book is aimed specifically at statistics and data science students who need a solid introduction to the basics of probability.While retaining its focus on basic probability, including Bayesian probability and the interface between probability and computer simulation, this edition's significant revisions are as follows:Many extra motivational examples and problems;New material on Bayesian probability, including two famous court cases;New sections on real-world applications of the Poisson distribution;New sections on generating functions and the bivariate normal density;New chapter on Markov chains, including Markov chain Monte Carlo simulation;The approach followed in the book is to develop probabilistic intuition before diving into details. The best way to learn probability is by practising on a lot of problems. Many instructive problems together with problem-solving strategies are given. Answers to all problems and worked-out solutions to selected problems are also provided.Henk Tijms is the author of several textbooks in the area of applied probability. In 2008, he had received the prestigious INFORMS Expository Writing Award for his work. He is active in popularizing probability at Dutch high schools.…

Hardcover. Condizione: Brand New. 2nd edition. 180 pages. 9.00x6.00x0.50 inches. In Stock. This item is printed on demand.

Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The second edition represents an ongoing effort to make probability accessible to students in a wide range of fields such as mathematics, statistics and data science, engineering, computer science, and business analytics.KlappentextrnrnThe s. …

Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The second edition represents an ongoing effort to make probability accessible to students in a wide range of fields such as mathematics, statistics and data science, engineering, computer science, and business analytics. The book is written for those learning about probability for the first time. Revised and updated, the book is aimed specifically at statistics and data science students who need a solid introduction to the basics of probability.While retaining its focus on basic probability, including Bayesian probability and the interface between probability and computer simulation, this edition's significant revisions are as follows:Many extra motivational examples and problemsNew material on Bayesian probability, including two famous court casesNew sections on real-world applications of the Poisson distributionNew sections on generating functions and the bivariate normal densityNew chapter on Markov chains, including Markov chain Monte Carlo simulationThe approach followed in the book is to develop probabilistic intuition before diving into details. The best way to learn probability is by practising on a lot of problems. Many instructive problems together with problem-solving strategies are given. Answers to all problems and worked-out solutions to selected problems are also provided.Henk Tijms is the author of several textbooks in the area of applied probability. In 2008, he had received the prestigious INFORMS Expository Writing Award for his work. He is active in popularizing probability at Dutch high schools.…

Buch. Condizione: Neu. BASIC PROBABILITY (2ND ED) | Tijms Henk | Buch | Gebunden | Englisch | 2021 | World Scientific | EAN 9789811237492 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.