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Introductory Statistics for Data Analysis

This book describes the probability theory associated with frequently used statistical procedures and the relation between probability theory and statistical inference. The first third of the book is dedicated to probability theory including topics relating to events, random variables, and the Centr...

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Dettagli Bibliografici
Autori principali: Ewens, Warren J. (Autore), Brumberg, Katherine (Autore)
Ente Autore: SpringerLink (Online service)
Natura: Elettronico eBook
Lingua:inglese
Pubblicazione: Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Edizione:1st ed. 2023.
Soggetti:
Statistics .
Nonparametric statistics.
Biometry.
Statistical Theory and Methods.
Non-parametric Inference.
Biostatistics.
Accesso online:https://doi.org/10.1007/978-3-031-28189-1
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Sommario:
  • I INTRODUCTION
  • 1 Statistics and probability theory
  • II PROBABILITY THEORY
  • 2 Events
  • 3 Probabilities of events
  • 4 Probability: One Discrete Random Variable
  • 5 Many Random Variables
  • 6 Continuous Random Variables
  • III STATISTICS
  • 7 Introduction
  • 8 Estimation of a parameter
  • 9 Testing hypotheses about the value of a parameter
  • 10 Testing for the equality of two binomial parameters
  • 10 Testing for the equality of two binomial parameters
  • 11 Chi-square tests (i): tables bigger than two-by-two
  • 13 Tests on means
  • 14 Non-parametric tests
  • Useful charts
  • Solutions to problems.

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