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Analysis of Mixed Data
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Analysis of Mixed Data : Methods & Applications

Book Details

Format Paperback / Softback
ISBN-10 0367380412
ISBN-13 9780367380410
Publisher Taylor & Francis Ltd
Imprint Chapman & Hall/CRC
Country of Manufacture GB
Country of Publication GB
Publication Date Sep 23rd, 2019
Print length 262 Pages
Weight 453 grams
Ksh 12,250.00
Werezi Extended Catalogue 0 in stock

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A comprehensive source on mixed data analysis, Analysis of Mixed Data: Methods & Applications offers a complete and up-to-date introduction to and summary of the fundamental advances and developments in the field. It presents modern methods and case studies are used extensively throughout the book to illustrate interesting applications from economics, medicine and health, marketing, and genetics. All chapters include illustrative examples, many drawn from real-life case studies, and ample cross-references between chapters are included to enable readers to connect the book’s various topics and research strands and to facilitate self-study.

A comprehensive source on mixed data analysis, Analysis of Mixed Data: Methods & Applications summarizes the fundamental developments in the field. Case studies are used extensively throughout the book to illustrate interesting applications from economics, medicine and health, marketing, and genetics.

  • Carefully edited for smooth readability and seamless transitions between chapters
  • All chapters follow a common structure, with an introduction and a concluding summary, and include illustrative examples from real-life case studies in developmental toxicology, economics, medicine and health, marketing, and genetics
  • An introductory chapter provides a "wide angle" introductory overview and comprehensive survey of mixed data analysis


Blending theory and methodology, this book illustrates concepts via data from different disciplines. Analysis of Mixed Data: Methods & Applications traces important developments, collates basic results, presents terminology and methodologies, and gives an overview of statistical research applications. It is a valuable resource to methodologically interested as well as subject matter-motivated researchers in many disciplines.


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