Generalized Linear and Mixed Models Vol. 1（Charles E. McCulloch Shayle R. Searle）（Wiley-Interscience 2001）

  • 书名：Generalized, Linear, and Mixed Models, Vol. 1
  • 出版社：Wiley-Interscience
  • 作者：Charles E. McCulloch, Shayle R. Searle
  • 出版年份：2001
  • 电子书格式： pdf
  • 简介：Dive into the comprehensive world of Generalized Linear and Mixed Models with this seminal text by McCulloch and Searle. This volume provides a rigorous yet accessible introduction to the theory and application of these powerful statistical models. Ideal for graduate students and researchers in statistics, biostatistics, and related fields, this book covers topics such as linear models, generalized linear models, and mixed-effects models with numerous practical examples and exercises. Master the techniques for analyzing complex data structures and unlock deeper insights from your research. Learn to implement these models using statistical software to tackle a wide variety of applications across various disciplines.
  • ISBN：9780471193647, 04711
  • 下载地址（点击下载）：
    隐藏内容
    本内容登录后免费查看
声明：本站所有电子书，均为来自网络。任何个人或组织，在未征得本站同意时，禁止复制、盗用、采集、发布本站内容到任何网站、书籍等各类媒体平台。如若本站内容侵犯了原著者的合法权益，可联系我们进行处理。