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Measure-Theoretic Probability: With Applications to Statistics, Finance, and Eng

Description: Measure-Theoretic Probability by Kenneth Shum Estimated delivery 3-12 business days Format Paperback Condition Brand New Description This textbook offers an approachable introduction to measure-theoretic probability, illustrating core concepts with examples from statistics and engineering. Publisher Description This textbook offers an approachable introduction to measure-theoretic probability, illustrating core concepts with examples from statistics and engineering. The author presents complex concepts in a succinct manner, making otherwise intimidating material approachable to undergraduates who are not necessarily studying mathematics as their major. Throughout, readers will learn how probability serves as the language in a variety of exciting fields. Specific applications covered include the coupon collectors problem, Monte Carlo integration in finance, data compression in information theory, and more. Measure-Theoretic Probability is ideal for a one-semester course and will best suit undergraduates studying statistics, data science, financial engineering, and economics who want to understand and apply more advanced ideas from probability to their disciplines. As a concise and rigorous introduction to measure-theoretic probability, it is also suitable for self-study.Prerequisites include a basic knowledge of probability and elementary concepts from real analysis. Author Biography Kenneth Shum received his PhD degree in Electrical Engineering at University of Southern California. Currently, he is an Associate Professor in the School of Science and Engineering at The Chinese University of Hong Kong, Shenzhen. His research interests include information theory and coding theory, probability, and combinatorics. Details ISBN 3031498321 ISBN-13 9783031498329 Title Measure-Theoretic Probability Author Kenneth Shum Format Paperback Year 2024 Pages 259 Publisher Birkhauser Verlag AG GE_Item_ID:160096526; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

Price: 70.58 USD

Location: Fairfield, Ohio

End Time: 2024-12-27T07:11:45.000Z

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Measure-Theoretic Probability: With Applications to Statistics, Finance, and Eng

Item Specifics

Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money Back

ISBN-13: 9783031498329

Book Title: Measure-Theoretic Probability

Number of Pages: Xv, 259 Pages

Publication Name: Measure-Theoretic Probability : with Applications to Statistics, Finance, and Engineering

Language: English

Publisher: Springer International Publishing A&G

Subject: Probability & Statistics / General, Mathematical Analysis

Publication Year: 2024

Type: Textbook

Subject Area: Mathematics

Author: Kenneth Shum

Item Length: 9.3 in

Item Width: 6.1 in

Series: Compact Textbooks in Mathematics Ser.

Format: Trade Paperback

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