Modern mathematical statistics with applications /

"This 3rd edition of Modern Mathematical Statistics with Applications tries to strike a balance between mathematical foundations and statistical practice. The book provides a clear and current exposition of statistical concepts and methodology, including many examples and exercises based on rea...

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Detalles Bibliográficos
Autor principal: Devore, Jay L.
Otros Autores: Berk, Kenneth N., 1938-, Carlton, Matthew A.
Formato: Libro
Lenguaje:Inglés
Publicado: Cham : Springer, c2021.
Edición:3rd ed.
Colección:Springer texts in statistics
Materias:
Aporte de:Registro referencial: Solicitar el recurso aquí
Tabla de Contenidos:
  • Overview and descriptive statistics
  • Probability
  • Discrete random variables and probability distributions
  • Continuous random variables and probability distributions
  • Joint probability distributions and their applications
  • Statistics and sampling distributions
  • Point estimation
  • Statistical intervals based on a single sample
  • Tests of hypotheses based on a single sample
  • Inferences based on two samples
  • The analysis of variance
  • Regression and correlation
  • Chi-squared tests
  • Nonparametric methods
  • Introduction to Bayesian estimation.