ISBN: 9780521803564

Statistics do not lie, nor is probability paradoxical. You just have to have the right intuition. In this lively look at both subjects, David Williams convinces mathematics students of th… Mehr…

Statistics do not lie, nor is probability paradoxical. You just have to have the right intuition. In this lively look at both subjects, David Williams convinces mathematics students of the intrinsic interest of statistics and probability, and statistics students that the language of mathematics can bring real insight and clarity to their subject. He helps students build the intuition needed, in a presentation enriched with examples drawn from all manner of applications, e.g., genetics, filtering, the Black-Scholes option-pricing formula, quantum probability and computing, and classical and modern statistical models. Statistics chapters present both the Frequentist and Bayesian approaches, emphasising Confidence Intervals rather than Hypothesis Test, and include Gibbs-sampling techniques for the practical implementation of Bayesian methods. A central chapter gives the theory of Linear Regression and ANOVA, and explains how MCMC methods allow greater flexibility in modelling. C or WinBUGS code is provided for computational examples and simulations. Many exercises are included; hints or solutions are often provided.; Science & Nature, Cambridge University Press<

2002, ISBN: 9780521803564

[ED: Buch], [PU: Cambridge University Press], Neuware - In this lively look at both subjects, David Williams convinces Mathematics students of the intrinsic interest of Statistics and Pro… Mehr…

[ED: Buch], [PU: Cambridge University Press], Neuware - In this lively look at both subjects, David Williams convinces Mathematics students of the intrinsic interest of Statistics and Probability, and Statistics students that the language of Mathematics can bring real insight and clarity to their subject. He helps students build the intuition needed, in a presentation enriched with examples drawn from all manner of applications. Statistics chapters present both the Frequentist and Bayesian approaches, emphasizing Confidence Intervals rather than Hypothesis Test, and include Gibbs-sampling techniques for the practical implementation of Bayesian methods. A central chapter gives the theory of Linear Regression and ANOVA, and explains how MCMC methods allow greater flexibility in modeling. C or WinBUGS code is provided for computational examples and simulations.- Besorgungstitel - vorauss. Lieferzeit 3-5 Tage., DE, [SC: 4.50], Neuware, gewerbliches Angebot, 250x175x34 mm, 566, [GW: 1146g], Banküberweisung, Offene Rechnung, Kreditkarte, PayPal, Offene Rechnung (Vorkasse vorbehalten), Internationaler Versand<

2015, ISBN: 9780521803564

Erscheinungsdatum: 02.03.2015, Medium: Buch, Einband: Gebunden, Titel: Weighing the Odds, Autor: Williams, David, Verlag: Cambridge University Press, Sprache: Englisch, Schlagworte: MATHE… Mehr…

Erscheinungsdatum: 02.03.2015, Medium: Buch, Einband: Gebunden, Titel: Weighing the Odds, Autor: Williams, David, Verlag: Cambridge University Press, Sprache: Englisch, Schlagworte: MATHEMATICS // Probability & Statistics // General, Rubrik: Mathematik // Wahrscheinlichkeitstheorie, Seiten: 566, Informationen: HC gerader Rücken kaschiert, Gewicht: 1146 gr, Verkäufer: averdo Belletristik, [PU: Cambridge University Press]<

ISBN: 9780521803564

Weighing the Odds ab 271.99 € als gebundene Ausgabe: . Aus dem Bereich: Bücher, Wissenschaft, Mathematik, Medien > Bücher nein Buch (gebunden) Bücher > Wissenschaft > Mathematik, Cambridg… Mehr…

Weighing the Odds ab 271.99 € als gebundene Ausgabe: . Aus dem Bereich: Bücher, Wissenschaft, Mathematik, Medien > Bücher nein Buch (gebunden) Bücher > Wissenschaft > Mathematik, Cambridge University Press<

ISBN: 9780521803564

Weighing the Odds: A Course in Probability and Statistics Hardcover New Books, Cambridge University Press