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Jeanne Kowalski - Modern Applied U-Statistics - 9780471682271 - V9780471682271
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Modern Applied U-Statistics

€ 174.56
FREE Delivery in Ireland
Description for Modern Applied U-Statistics Hardcover. The purpose of this book is to introduce the theory of U-Statistics and illustrate it with a wide range of timely applications arising in genetics, biomedical, and psychological research. Series: Wiley Series in Probability and Statistics. Num Pages: 378 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 236 x 164 x 24. Weight in Grams: 682.
A timely and applied approach to the newly discovered methods and applications of U-statistics

Built on years of collaborative research and academic experience, Modern Applied U-Statistics successfully presents a thorough introduction to the theory of U-statistics using in-depth examples and applications that address contemporary areas of study including biomedical and psychosocial research. Utilizing a "learn by example" approach, this book provides an accessible, yet in-depth, treatment of U-statistics, as well as addresses key concepts in asymptotic theory by integrating translational and cross-disciplinary research.

The authors begin with an introduction of the essential and theoretical ... Read more

Product Details

Format
Hardback
Publication date
2007
Publisher
John Wiley and Sons Ltd United Kingdom
Number of pages
378
Condition
New
Series
Wiley Series in Probability and Statistics
Number of Pages
400
Place of Publication
New York, United States
ISBN
9780471682271
SKU
V9780471682271
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50

About Jeanne Kowalski
Jeanne Kowalski, PhD, is Assistant Professor in the Division of Oncology Biostatistics at The Johns Hopkins University. Dr. Kowalski has authored or coauthored over thirty journal articles that focus on a wide range of issues in medicine and public health through the use of novel statistical methods, including U-statistics, generalized linear mixed-effects models, generalized estimating equations, asymptotics, and measurement error ... Read more

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