- Publisher's listprice EUR 89.95
-
38 156 Ft (36 339 Ft + 5% VAT)
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 5% (cc. 1 908 Ft off)
- Discounted price 36 248 Ft (34 522 Ft + 5% VAT)
38 156 Ft
Availability
Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
Not in stock at Prospero.
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number 2nd edition
- Publisher De Gruyter
- Date of Publication 4 June 2024
- ISBN 9783111324845
- Binding Paperback
- No. of pages500 pages
- Size 240x170 mm
- Weight 825 g
- Language English
- Illustrations 94 Illustrations, black & white; 1 Tables, black & white 718
Categories
Long description:
This book is intended as an introduction to Probability Theory and Mathematical Statistics for students in mathematics, the physical sciences, engineering, and related fields. It is based on the author?s 25 years of experience teaching probability and is squarely aimed at helping students overcome common difficulties in learning the subject. The focus of the book is an explanation of the theory, mainly by the use of many examples. Whenever possible, proofs of stated results are provided. All sections conclude with a short list of problems. The book also includes several optional sections on more advanced topics. This textbook would be ideal for use in a first course in Probability Theory.
Contents:
Probabilities
Conditional Probabilities and Independence
Random Variables and Their Distribution
Operations on Random Variables
Expected Value, Variance, and Covariance
Normally Distributed Random Vectors
Limit Theorems
Introduction to Stochastic Processes
Mathematical Statistics
Appendix
Bibliography
Index
