Exercise Book of Statistical Inference

This book was created with the goal of helping students transition from the theoretical and methodological concepts of statistical inference to their implementation on a computer. The first part of the book is primarily focused on exercises to be solved with pen and paper, so that students can apply...

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Detalles Bibliográficos
Main Authors: Gasperoni, Francesca (Author), Ieva, Francesca (Author), Paganoni, Anna Maria (Author)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:inglés
Publicado: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Edición:1st ed. 2025.
Series:La Matematica per il 3+2, 173
Subjects:
Acceso en liña:https://doi.org/10.1007/978-3-031-86670-8
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Table of Contents:
  • Part I: Statistical Inference
  • 1 Fundamentals of Probability and Statistics
  • 2 Sufficient, Minimal, and Complete Statistics
  • 3 Point Estimators
  • 4 Uniform Minimum Variance Unbiased Estimators (UMVUEs)
  • 5 Likelihood Ratio Test
  • 6 Uniformly Most Powerful Test
  • 7 Confidence Intervals
  • 8 Asymptotic Statistics
  • Part II: Regression Models and Analysis of Variance
  • 9 Linear Regression
  • 10 Generalized Linear Models
  • 11 ANOVA: Analysis of Variance
  • 12 Summary Exercises
  • Appendix A: Probability Distributions.