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Applied Multivariate Statistical Analysis In Medicine 1st Edition Jingmei Jiang

  • SKU: BELL-96148218
Applied Multivariate Statistical Analysis In Medicine 1st Edition Jingmei Jiang
$ 31.00 $ 45.00 (-31%)

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Applied Multivariate Statistical Analysis In Medicine 1st Edition Jingmei Jiang instant download after payment.

Publisher: Elsevier
File Extension: PDF
File size: 6.44 MB
Pages: 524
Author: Jingmei Jiang
ISBN: 9780443235870, 0443235872
Language: English
Year: 2024
Edition: 1

Product desciption

Applied Multivariate Statistical Analysis In Medicine 1st Edition Jingmei Jiang by Jingmei Jiang 9780443235870, 0443235872 instant download after payment.

Applied Multivariate Statistical Analysis in Medicine provides a multivariate conceptual framework that allows readers to understand the interconnectivity and interrelations among variables, which maintains the intrinsic precision of statistical theories. With a strong focus on the fundamental concepts of multivariate statistical analysis, the book also gives insight into the applications of multivariate distribution in biomedical fields. In 14 chapters, Applied Multivariate Statistical Analysis in Medicine covers the main topics of multivariate analysis methods widely used in health science research. The content is organized progressively from fundamental concepts to sophisticated methods. It begins with basic descriptive statistics in multivariate analysis and follows with parameter estimation, in addition to the hypothesis testing of a multivariate normal distribution, which has heavy applications in biomedical fields where the relationships among approximately normal variables are of great interest. Keeping mathematics to a minimum, considerable emphasis is placed on explanations and real-world applications of core principles to maintain a good balance between introducing theory and cultivating problem-solving skills. This book is a very valuable reference text for clinicians, medical researchers, and other researchers across medical and biomedical disciplines, all of whom confront increasingly complex statistical methods during the analysis and presentation of their results.

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