Introduction to Probability with Statistical Applications (PDF)
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
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
- Autor: Géza Schay
- 2016, 2nd ed. 2016, 385 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319306200
- ISBN-13: 9783319306209
- Erscheinungsdatum: 17.06.2016
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 4.12 MB
- Mit Kopierschutz
- Vorlesefunktion
“I believe that students concentrating in mathematics and related subjects will find this book readable and interesting. … I think that students learning the probability for the first time will get real value out of working through the examples and exercises of the text. … Introduction to Probability with Statistical Applications is very clearly written and reading the book is enjoyable. I would certainly recommend Schay’s book as a primary textbook for an undergraduate course in calculus-based probability.” (Jason M. Graham, MAA Reviews, September, 2016)
Schreiben Sie einen Kommentar zu "Introduction to Probability with Statistical Applications".
Kommentar verfassen