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A modern introduction to probability and statistics : understanding why and how

Author: Michel Dekking
Publisher: London : Springer, ©2005.
Series: Springer texts in statistics.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
"A Modern Introduction to Probability and Statistics has numerous quick exercises to give direct feedback to the students. In addition the book contains over 350 exercises, half of which have answers, of which half have full solutions. The only pre-requisite for the book is a first course in calculus; the text covers standard statistics and probability material, and develops beyond traditional parametric models to  Read more...
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Genre/Form: Electronic books
Textbooks
Leermiddelen (vorm)
Manuels d'enseignement supérieur
Additional Physical Format: Print version:
Modern introduction to probability and statistics.
London : Springer, ©2005
(DLC) 2004057700
(OCoLC)56367920
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Michel Dekking
ISBN: 9781852338961 1852338962 9781846281686 1846281687 9781849969529 1849969523
OCLC Number: 262680588
Description: 1 online resource (xv, 486 pages) : illustrations.
Contents: 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.
Series Title: Springer texts in statistics.
Responsibility: F.M. Dekking [and others].
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Abstract:

Suitable for self study, this title includes introduction to the bootstrap.  Read more...

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From the reviews: "[the material is] superbly motivated with interest-grabbing examples... exercises excellent and plentiful." Edward Williams, University of Michigan-Dearborn, USA "... it is a Read more...

 
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