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Gregory K. Miller - Probability - 9780471458920 - V9780471458920
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Probability

€ 231.59
FREE Delivery in Ireland
Description for Probability Hardcover. Written by an enthusiastic educator known for his dynamic teaching, Probability: Modeling and Applications to Random Processes focuses on modeling outcomes of random variables and random processes. Num Pages: 488 pages, Illustrations. BIC Classification: PBWL. Category: (P) Professional & Vocational. Dimension: 236 x 161 x 27. Weight in Grams: 800.
Improve Your Probability of Mastering This Topic

This book takes an innovative approach to calculus-based probability theory, considering it within a framework for creating models of random phenomena. The author focuses on the synthesis of stochastic models concurrent with the development of distribution theory while also introducing the reader to basic statistical inference. In this way, the major stochastic processes are blended with coverage of probability laws, random variables, and distribution theory, equipping the reader to be a true problem solver and critical thinker.

Deliberately conversational in tone, Probability is written for students in ... Read more

Product Details

Format
Hardback
Publication date
2006
Publisher
John Wiley & Sons Inc United States
Number of pages
488
Condition
New
Number of Pages
488
Place of Publication
, United States
ISBN
9780471458920
SKU
V9780471458920
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50

About Gregory K. Miller
GREGORY K. MILLER, PHD, is Associate Professor of Statistics in the Department of Mathematics and Statistics at Stephen F. Austin State University in Nacogdoches, Texas. He is a coauthor, with U. Narayan Bhat, of Elements of Applied Stochastic Processes, Third Edition (Wiley).

Reviews for Probability
"Many instructors will find this book a useful adjunct to their courses." (The American Statistician, August 2007) "…a very pleasant and highly accessible textbook that perfectly meets the goal…[of making] probability theory accessible without sacrificing mathematical accuracy." (Mathematical Reviews, 2007h) "This book more than lives up to its ambitious title…can hold its own against any comparable text." ... Read more

Goodreads reviews for Probability


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