館藏書目查詢 > 書目資料
借閱次數 :

Methods of multivariate analysis

  • 點閱:166
  • 評分:0
  • 評論:0
  • 引用:0
  • 轉寄:0


轉寄 列印
第1級人氣樹(0)
人氣指樹
  • 館藏
  • 簡介
  • 作者簡介
  • 推薦序文
  • 收藏(0)
  • 評論(0)
  • 評分(0)
  • 引用(0)

Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. Methods of Multivariate Analysis was among those chosen. When measuring several variables on a complex experimental unit, it is often necessary to analyze the variables simultaneously, rather than isolate them and consider them individually. Multivariate analysis enables researchers to explore the joint performance of such variables and to determine the effect of each variable in the presence of the others. The Second Edition of Alvin Rencher's Methods of Multivariate Analysis provides students of all statistical backgrounds with both the fundamental and more sophisticated skills necessary to master the discipline. To illustrate multivariate applications, the author provides examples and exercises based on fifty-nine real data sets from a wide variety of scientific fields. Rencher takes a "methods" approach to his subject, with an emphasis on how students and practitioners can employ multivariate analysis in real-life situations. The Second Edition contains revised and updated chapters from the critically acclaimed First Edition as well as brand-new chapters on: Cluster analysis Multidimensional scaling Correspondence analysis Biplots Each chapter contains exercises, with corresponding answers and hints in the appendix, providing students the opportunity to test and extend their understanding of the subject. Methods of Multivariate Analysis provides an authoritative reference for statistics students as well as for practicing scientists and clinicians.
內容簡介來源:亞馬遜網路書店

此功能為會員專屬功能請先登入
此功能為會員專屬功能請先登入
此功能為會員專屬功能請先登入
此功能為會員專屬功能請先登入


本文的引用網址: