Probability and Statistics for Economists
- Publisher's listprice GBP 58.00
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29 353 Ft (27 956 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 10% (cc. 2 935 Ft off)
- Discounted price 26 418 Ft (25 160 Ft + 5% VAT)
29 353 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:
- Publisher Princeton University Press
- Date of Publication 11 October 2022
- Number of Volumes Print PDF
- ISBN 9780691235943
- Binding Hardback
- No. of pages416 pages
- Size 254x203 mm
- Language English
- Illustrations 111 b/w illus. 6 tables. 1205
Categories
Long description:
A comprehensive and up-to-date introduction to the mathematics that all economics students need to know
Probability theory is the quantitative language used to handle uncertainty and is the foundation of modern statistics. Probability and Statistics for Economists provides graduate and PhD students with an essential introduction to mathematical probability and statistical theory, which are the basis of the methods used in econometrics. This incisive textbook teaches fundamental concepts, emphasizes modern, real-world applications, and gives students an intuitive understanding of the mathematics that every economist needs to know.
- Covers probability and statistics with mathematical rigor while emphasizing intuitive explanations that are accessible to economics students of all backgrounds
- Discusses random variables, parametric and multivariate distributions, sampling, the law of large numbers, central limit theory, maximum likelihood estimation, numerical optimization, hypothesis testing, and more
- Features hundreds of exercises that enable students to learn by doing
- Includes an in-depth appendix summarizing important mathematical results as well as a wealth of real-world examples
- Can serve as a core textbook for a first-semester PhD course in econometrics and as a companion book to Bruce E. Hansen?s Econometrics
- Also an invaluable reference for researchers and practitioners
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