Ten projects in applied statistics
Author(s)
Bibliographic Information
Ten projects in applied statistics
(Springer series in statistics)
Springer, c2022
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Available at 4 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
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  United States of America
Note
Includes bibliographical references (p. 401-405) and index
Description and Table of Contents
Description
The first half of the book is aimed at quantitative research workers in biology, medicine, ecology and genetics. The book as a whole is aimed at graduate students in statistics, biostatistics, and other quantitative disciplines. Ten detailed examples show how the author approaches real-world statistical problems in a principled way that allows for adequate compromise and flexibility. The need to accommodate correlations associated with space, time and other relationships is a recurring theme, so variance-components models feature prominently. Statistical pitfalls are illustrated via examples taken from the recent scientific literature. Chapter 11 sets the scene, not just for the second half of the book, but for the book as a whole. It begins by defining fundamental concepts such as baseline, observational unit, experimental unit, covariates and relationships, randomization, treatment assignment, and the role that these play in model formulation. Compatibility of the model with the randomization scheme is crucial. The effect of treatment is invariably modelled as a group action on probability distributions. Technical matters connected with space-time covariance functions, residual likelihood, likelihood ratios, and transformations are discussed in later chapters.
Table of Contents
1. Rat Surgery.- 2. Chain Saws.- 3. Fruit Flies.- 4. Growth Curves.- 5. Louse Evolution.- 6. Time Series I.- 7. Time Series II.- 8. Out of Africa.- 9. Environmental Projects.- 10. Fulmar Fitness.- 11. Basic Concepts.- 12. Principles.- 13. Initial Values.- 14. Probability Distributions.- 15. Gaussian Distributions.- 16. Space-Time Processes.- 17. Likelihood.- 18. Residual Likelihood.- 19. Response Transformation.- 20. Presentations and Reports.- 21. Q & A.
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