Probability, Statistics, and Stochastic Processes (PDF)
(Sprache: Englisch)
Praise for the First Edition
". . . an excellent textbook . . . well organized and neatly
written."
--Mathematical Reviews
". . . amazingly interesting . . ."
--Technometrics
Thoroughly updated to showcase the interrelationships...
". . . an excellent textbook . . . well organized and neatly
written."
--Mathematical Reviews
". . . amazingly interesting . . ."
--Technometrics
Thoroughly updated to showcase the interrelationships...
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Praise for the First Edition
". . . an excellent textbook . . . well organized and neatly
written."
--Mathematical Reviews
". . . amazingly interesting . . ."
--Technometrics
Thoroughly updated to showcase the interrelationships between
probability, statistics, and stochastic processes, Probability,
Statistics, and Stochastic Processes, Second Edition prepares
readers to collect, analyze, and characterize data in their chosen
fields.
Beginning with three chapters that develop probability theory
and introduce the axioms of probability, random variables, and
joint distributions, the book goes on to present limit theorems and
simulation. The authors combine a rigorous, calculus-based
development of theory with an intuitive approach that appeals to
readers' sense of reason and logic. Including more than 400
examples that help illustrate concepts and theory, the Second
Edition features new material on statistical inference and a wealth
of newly added topics, including:
* Consistency of point estimators
* Large sample theory
* Bootstrap simulation
* Multiple hypothesis testing
* Fisher's exact test and Kolmogorov-Smirnov test
* Martingales, renewal processes, and Brownian motion
* One-way analysis of variance and the general linear model
Extensively class-tested to ensure an accessible presentation,
Probability, Statistics, and Stochastic Processes, Second
Edition is an excellent book for courses on probability and
statistics at the upper-undergraduate level. The book is also an
ideal resource for scientists and engineers in the fields of
statistics, mathematics, industrial management, and
engineering.
". . . an excellent textbook . . . well organized and neatly
written."
--Mathematical Reviews
". . . amazingly interesting . . ."
--Technometrics
Thoroughly updated to showcase the interrelationships between
probability, statistics, and stochastic processes, Probability,
Statistics, and Stochastic Processes, Second Edition prepares
readers to collect, analyze, and characterize data in their chosen
fields.
Beginning with three chapters that develop probability theory
and introduce the axioms of probability, random variables, and
joint distributions, the book goes on to present limit theorems and
simulation. The authors combine a rigorous, calculus-based
development of theory with an intuitive approach that appeals to
readers' sense of reason and logic. Including more than 400
examples that help illustrate concepts and theory, the Second
Edition features new material on statistical inference and a wealth
of newly added topics, including:
* Consistency of point estimators
* Large sample theory
* Bootstrap simulation
* Multiple hypothesis testing
* Fisher's exact test and Kolmogorov-Smirnov test
* Martingales, renewal processes, and Brownian motion
* One-way analysis of variance and the general linear model
Extensively class-tested to ensure an accessible presentation,
Probability, Statistics, and Stochastic Processes, Second
Edition is an excellent book for courses on probability and
statistics at the upper-undergraduate level. The book is also an
ideal resource for scientists and engineers in the fields of
statistics, mathematics, industrial management, and
engineering.
Autoren-Porträt von Peter Olofsson, Mikael Andersson
PETER OLOFSSON, PhD, is Professor in the Mathematics Department at Trinity University. Dr. Olofsson's research interests include stochastic processes, branching processes, mathematical biology, and Poisson approximation. He is the author of Probabilities: The Little Numbers That Rule Our Lives, also published by Wiley.MIKAEL ANDERSSON, PhD, is Associate Professor in the Department of Applied Statistics at the Swedish University of Agricultural Sciences. Dr. Andersson's research interests include stochastic modeling of infectious diseases, epidemiology, and biological applications.
Bibliographische Angaben
- Autoren: Peter Olofsson , Mikael Andersson
- 2012, 2. Auflage, 576 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 1118231309
- ISBN-13: 9781118231302
- Erscheinungsdatum: 23.04.2012
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