Applied Statistics
eBook - ePub

Applied Statistics

Theory and Problem Solutions with R

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Applied Statistics

Theory and Problem Solutions with R

About this book

Instructs readers on how to use methods of statistics and experimental design with R software

Applied statistics covers both the theory and the application of modern statistical and mathematical modelling techniques to applied problems in industry, public services, commerce, and research. It proceeds from a strong theoretical background, but it is practically oriented to develop one's ability to tackle new and non-standard problems confidently. Taking a practical approach to applied statistics, this user-friendly guide teaches readers how to use methods of statistics and experimental design without going deep into the theory.

Applied Statistics: Theory and Problem Solutions with R includes chapters that cover R package sampling procedures, analysis of variance, point estimation, and more. It follows on the heels of Rasch and Schott's Mathematical Statistics via that book's theoretical background—taking the lessons learned from there to another level with this book's addition of instructions on how to employ the methods using R. But there are two important chapters not mentioned in the theoretical back ground as Generalised Linear Models and Spatial Statistics.

  • Offers a practical over theoretical approach to the subject of applied statistics
  • Provides a pre-experimental as well as post-experimental approach to applied statistics
  • Features classroom tested material
  • Applicable to a wide range of people working in experimental design and all empirical sciences
  • Includes 300 different procedures with R and examples with R-programs for the analysis and for determining minimal experimental sizes

Applied Statistics: Theory and Problem Solutions with R will appeal to experimenters, statisticians, mathematicians, and all scientists using statistical procedures in the natural sciences, medicine, and psychology amongst others.

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Yes, you can access Applied Statistics by Dieter Rasch,Rob Verdooren,Jürgen Pilz in PDF and/or ePUB format, as well as other popular books in Matemáticas & Probabilidad y estadística. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wiley
Year
2019
Print ISBN
9781119551522
eBook ISBN
9781119551546

Table of contents

  1. Cover
  2. Table of Contents
  3. Preface
  4. 1 The R‐Package, Sampling Procedures, and Random Variables
  5. 2 Point Estimation
  6. 3 Testing Hypotheses – One‐ and Two‐Sample Problems
  7. 4 Confidence Estimations – One‐ and Two‐Sample Problems
  8. 5 Analysis of Variance (ANOVA) – Fixed Effects Models
  9. 6 Analysis of Variance – Models with Random Effects
  10. 7 Analysis of Variance – Mixed Models
  11. 8 Regression Analysis
  12. 9 Analysis of Covariance (ANCOVA)
  13. 10 Multiple Decision Problems
  14. 11 Generalised Linear Models
  15. 12 Spatial Statistics
  16. Appendix A: List of Problems
  17. Appendix B: Symbolism
  18. Appendix C: Abbreviations
  19. Appendix D: Probability and Density Functions
  20. Index
  21. End User License Agreement