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{ "item_title" : "Analysis of Longitudinal Data with Examples", "item_author" : [" You-Gan Wang", "Liya Fu", "Sudhir Paul "], "item_description" : "Development in methodology on longitudinal data is fast. Currently, there are a lack of intermediate /advanced level textbooks which introduce students and practicing statisticians to the updated methods on correlated data inference. This book will present a discussion of the modern approaches to inference, including the links between the theories of estimators and various types of efficient statistical models including likelihood-based approaches. The theory will be supported with practical examples of R-codes and R-packages applied to interesting case-studies from a number of different areas. Key Features: -Includes the most up-to-date methods -Use simple examples to demonstrate complex methods -Uses real data from a number of areas -Examples utilize R code", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/1/49/876/460/1498764606_b.jpg", "price_data" : { "retail_price" : "126.99", "online_price" : "126.99", "our_price" : "126.99", "club_price" : "126.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Analysis of Longitudinal Data with Examples|You-Gan Wang

Analysis of Longitudinal Data with Examples

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Overview

Development in methodology on longitudinal data is fast. Currently, there are a lack of intermediate /advanced level textbooks which introduce students and practicing statisticians to the updated methods on correlated data inference. This book will present a discussion of the modern approaches to inference, including the links between the theories of estimators and various types of efficient statistical models including likelihood-based approaches. The theory will be supported with practical examples of R-codes and R-packages applied to interesting case-studies from a number of different areas.

Key Features:

-Includes the most up-to-date methods

-Use simple examples to demonstrate complex methods

-Uses real data from a number of areas

-Examples utilize R code

This item is Non-Returnable

Details

  • ISBN-13: 9781498764605
  • ISBN-10: 1498764606
  • Publisher: CRC Press
  • Publish Date: January 2022
  • Dimensions: 9.21 x 6.14 x 0.63 inches
  • Shipping Weight: 1.17 pounds
  • Page Count: 252

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