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cover A modern introduction to pr...
A modern introduction to probability and statistics : understanding why and how
Springer 2005

"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 the Poisson process, and on to useful modern methods such as the bootstrap." "This will be a key text for undergraduates in Computer Science, Physics, Mathematics, Chemistry, Biology and Business Studies who are studying a mathematical statistics course, and also for more intensive engineering statistics courses for undergraduates in all engineering subjects."--Jacket

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Título:
A modern introduction to probability and statistics : understanding why and how / F.M. Dekking [and others]
Editorial:
London : Springer, 2005
Descripción física:
1 online resource (xv, 486 pages) : illustrations
Mención de serie:
Springer texts in statistics
Bibliografía:
Includes bibliographical references (pages 475-476) and index
Contenido:
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
Copyright/Depósito Legal:
288200122 316332105 644324407 646746142 696922015 698463195 739126558 985030997 1005788155 1035713950 1044259734 1044301976 1056391789 1056398110 1057954518 1060693979 1060853867 1077259862 1087318925 1097299305 1102278501 1125454552 1136331203
ISBN:
9781852338961 ( acid-free paper)
1852338962 ( acid-free paper)
9781846281686
1846281687
9781849969529 ( print)
1849969523 ( print)
6611328688
9786611328689
Materia:
Autores:
Enlace a formato físico adicional:
Print version: Modern introduction to probability and statistics., London : Springer, 2005 9781852338961 1852338962 (DLC) 2004057700 (OCoLC)56367920
Punto acceso adicional serie-Título:
Springer texts in statistics

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