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Applied Multivariate Statistics with R (Statistics for Biology and Health) de Daniel Zelterman

Descripción - Críticas “This book is so clearly explained with R code throughout that it could be used as a self-learning text for an applied multivariate course and should be assigned as a selflearning adjunct assignment for a graduate level theoretical multivariate course. The real-word examples are page turners and ubiquitous use of color and fancy graphs easily explained make this usually dry topic an exciting one.” (Donna Pauler Ankerst, Biometrics, Vol. 73 (1), March, 2017)“This book demonstrates the process and outcomes for a wide array of multivariate statistical applications using program R. … The chapters include exercises, real data sets, and R implementations. The data are interesting, real-world topics, particularly from health and biology-related contexts. This book is strongly recommended for graduate-level statistics practitioners.” (Hemang B. Panchal, Doody’s Book Reviews, December, 2015) Reseña del editor This book brings the power of multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations. Using the open source, shareware program R, Professor Zelterman demonstrates the process and outcomes for a wide array of multivariate statistical applications. Chapters cover graphical displays, linear algebra, univariate, bivariate and multivariate normal distributions, factor methods, linear regression, discrimination and classification, clustering, time series models, and additional methods. Zelterman uses practical examples from diverse disciplines to welcome readers from a variety of academic specialties. Those with backgrounds in statistics will learn new methods while they review more familiar topics. Chapters include exercises, real data sets, and R implementations. The data are interesting, real-world topics, particularly from health and biology-related contexts. As an example of the approach, the text examines a sample from the Behavior Risk Factor Surveillance System, discussing both the shortcomings of the data as well as useful analyses. The text avoids theoretical derivations beyond those needed to fully appreciate the methods. Prior experience with R is not necessary. Contraportada This book brings the power of multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations. Using the open source, shareware program R, Professor Zelterman demonstrates the process and outcomes for a wide array of multivariate statistical applications. Chapters cover graphical displays, linear algebra, univariate, bivariate and multivariate normal distributions, factor methods, linear regression, discrimination and classification, clustering, time series models, and additional methods. Zelterman uses practical examples from diverse disciplines to welcome readers from a variety of academic specialties. Those with backgrounds in statistics will learn new methods while they review more familiar topics. Chapters include exercises, real data sets, and R implementations. The data are interesting, real-world topics, particularly from health and biology-related contexts. As an example of the approach, the text examines a sample from the Behavior Risk Factor Surveillance System, discussing both the shortcomings of the data as well as useful analyses. The text avoids theoretical derivations beyond those needed to fully appreciate the methods. Prior experience with R is not necessary.  Biografía del autor Daniel Zelterman, PhD, is Professor in the Department of Biostatistics at Yale University. His research areas include computational statistics, models for discrete valued data, and the design of clinical trials in cancer studies. In his spare time he plays oboe and bassoon in amateur orchestral groups and has backpacked hundreds of miles of the Appalachian Trail.

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Johnson amp wichern, applied multivariate statistical for courses in multivariate statistics, marketing research, intermediate business statistics, statistics in education, and graduatelevel courses in experimental design and statistics appropriate for experimental scientists in a variety of disciplines, this marketleading text offers a readable introduction to the statistical analysis of multivariate observations Multivariate statistics fbbva numerical ecology with r new york springer, 2011 compact introduction to multivariate statistics, including multivariate analysis of spatial and temporal data it is the r companion to numerical ecology by legendre and legendre, 2012 Applied multivariate statistics with r daniel zelterman applied multivariate statistics with r authors zelterman, daniel and r implementations the data are interesting, realworld topics, particularly from health and biologyrelated contexts this book is strongly recommended for graduatelevel statistics practitioners hemang b panchal, doodys book reviews, december, 2015

Detalles del Libro

• Name: Applied Multivariate Statistics with R (Statistics for Biology and Health)
  
• Autor: Daniel Zelterman
  
• Categoria: Libros,Libros universitarios y de estudios superiores,Medicina y ciencias de la salud
  
• Tamaño del archivo: 16 MB
  
• Tipos de archivo: PDF Document
  
• Idioma: Español
  
• Archivos de estado: AVAILABLE
  

Download Applied Multivariate Statistics with R (Statistics for Biology and Health) de Daniel Zelterman PDF [ePub Mobi] Gratis

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