Correlated Data Analysis_ Modeling, Analytics, and Applications

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This book covers recent developments in correlated data analysis. It utilizes the class of dispersion models as marginal components in the formulation of joint models for correlated data. This enables the book to cover a broader range of data types than the traditional generalized linear models. The reader is provided with a systematic treatment for the topic of estimating functions, and both generalized estimating equations (GEE) and quadratic inference functions (QIF) are studied as special cases. In addition to the discussions on marginal models and mixed-effects models, this book covers new topics on joint regression analysis based on Gaussian copulas.

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Correlated Data Analysis_ Modeling, Analytics, and Applications.pdf (6.74 MB, 需要: 30 个论坛币)

2015-4-17 19:20:28 上传

Springer Series in Statistics
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Product Details

• Series: Springer Series in Statistics
  
• Hardcover: 352 pages
• Publisher: Springer; 2007 edition (July 27, 2007)
• Language: English
• ISBN-10: 0387713921
• ISBN-13: 978-0387713922
• Product Dimensions: 6.1 x 0.8 x 9.2 inches
• Shipping Weight: 1.4 pounds (View shipping rates and policies)
• Average Customer Review: 5.0 out of 5 stars See all reviews(1 customer review)
  

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关键词：Applications Application Correlated Analytics correlate provided enables special recent topic

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