Statistics in Theory and Practice /

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Aimed at a diverse scientific audience, including physicists, astronomers, chemists, geologists, and economists, this book explains the theory underlying the classical statistical methods. Its level is between introductory "how to" texts and intimidating mathematical monographs. A reader w...

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Detalles Bibliográficos
Autor principal: Lupton, Robert (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Princeton, NJ : Princeton University Press, [2020]
Temas:
Mathematical statistics.
MATHEMATICS / Probability & Statistics / General.
Bayes' postulate.
Fisher's transformation.
Neyman-Pearson lemma.
Smirnov, definition.
changing variables.
critical region, definition.
efficiency, of an estimator.
geometrical mean, definition.
hypothesis testing.
idempotent, definition.
jackknife, definition.
kurtosis, definition.
linear models.
mode, definition.
multivariate Gaussian.
percentile, standard error.
rank of a matrix.
signs test.
standard deviation, definition.
variance, definition,.
Acceso en línea:Texto completo
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Tabla de Contenidos:
  • Frontmatter
  • Contents
  • Preface
  • 1. Introduction
  • 2. Preliminaries
  • 3. Some Common Probability Distributions
  • 4. Distributions Related to the Gaussian
  • 5. Sampling
  • 6. Distributions of Sample Statistics
  • 7. Bayes' Theorem and Maximum Likelihood
  • 8. Confidence Intervals
  • 9. Hypothesis Testing
  • 10. The Theory of Maximum Likelihood Estimators
  • 11. Least Squares Fitting for Linear Models
  • 12. Hypothesis Testing in the Linear Model
  • 13. Rank Correlation Coefficients
  • 14. Tests of Fit
  • 15. Robust Tests for Means
  • Epilogue
  • Some Numerical Exercises
  • References
  • Answers
  • Symbol Index
  • Problem Index
  • Index

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