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A Modern Introduction to Probability and Statistics

Understanding Why and How

Specificaties
Gebonden, 488 blz. | Engels
Springer London | 1e druk, 2007
ISBN13: 9781852338961
Rubricering
Springer London 1e druk, 2007 9781852338961
Onderdeel van serie Springer Texts in Statistics
Verwachte levertijd ongeveer 8 werkdagen

Samenvatting

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

Specificaties

ISBN13:9781852338961
Taal:Engels
Bindwijze:gebonden
Aantal pagina's:488
Uitgever:Springer London
Druk:1

Inhoudsopgave

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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        A Modern Introduction to Probability and Statistics