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A Modern Introduction to Probability and Statistics

A Modern Introduction to Probability and Statistics

C. Kraaikamp / F.M. Dekking / H.P. Lopuhaä

59,13 €
IVA incluido
Disponible
Editorial:
Springer Nature B.V.
Año de edición:
2010
Materia
Probabilidad y estadística
ISBN:
9781849969529
59,13 €
IVA incluido
Disponible

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Sobre IBD

Why probability and statistics?.- Outcomes, events, and probability.- Conditional probability and independence.- Discrete random variables.- Continuous random variables.- Simulation.- Expectation and variance.- Computations with random variables.- Joint distributions and independence.- Covariance and correlation.- More computations with more random variables.- The Poisson process.- The law of large numbers.- The central limit theorem.- Exploratory data analysis: graphical summaries.- Exploratory data analysis: numerical summaries.- Basic statistical models.- The bootstrap.- Unbiased estimators.- Efficiency and mean squared error.- Maximum likelihood.- The method of least squares.- Confidence intervals for the mean.- More on confidence intervals.- Testing hypotheses: essentials.- Testing hypotheses: elaboration.- The t-test.- Comparing two samples.

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Otros libros del autor

  • A Modern Introduction to Probability and Statistics
    C. Kraaikamp / F.M. Dekking / H.P. Lopuhaä
    Suitable for self study Use real examples and real data sets that will be familiar to the audience Introduction to the bootstrap is included - this is a modern method missing in many other books ...