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Michael Crawley

    March 9, 1949
    Běžci z nadoblačných výšin
    Statistik mit R
    Statistical Computing. An Introduction to Data Analysis using S-Plus
    Out of Thin Air
    Statistics
    • 2020

      Out of Thin Air

      • 272 pages
      • 10 hours of reading
      4.2(1302)Add rating

      "A social anthropology professor and international marathon athlete documents the 15 months he spent training with beginner through advanced runners in Ethiopia, where running is regarded by many as a spiritual calling"--BTCat.

      Out of Thin Air
    • 2014

      Statistics

      An Introduction Using R

      • 368 pages
      • 13 hours of reading
      4.3(15)Add rating

      The book is highly praised for its exceptional quality and stands out in its genre. It offers valuable insights and is regarded as a must-read for those interested in the subject matter. Readers can expect a thorough exploration of the themes presented, making it a significant contribution to its field.

      Statistics
    • 2002

      Many statistical modeling and data analysis techniques can be challenging to understand and implement, often requiring computer software for large data sets to yield useful results. S-Plus is a powerful and flexible statistical software package that allows users to apply various statistical methods, from simple regression to time series and multivariate analysis. This text provides extensive coverage of both basic and advanced statistical methods, with a focus on graphical inspection. It includes step-by-step instructions designed for non-statisticians to fully grasp the methodology. Key features include comprehensive coverage of statistical methods, the use of S-Plus, an emphasis on graphical data inspection, parameter estimation, and model criticism. The text contains hundreds of worked examples that illustrate the techniques described, making it accessible to scientists across various disciplines with minimal statistical knowledge. Authored by a leading figure in the field, who conducts successful international short courses, the book is complemented by a website offering worked examples, data sets, exercises, and solutions. It serves as a valuable reference for researchers, professionals, lecturers, and students in statistics, life sciences, medicine, engineering, economics, and social sciences.

      Statistical Computing. An Introduction to Data Analysis using S-Plus