“Professor Olofsson has clearly set himself a difficult task…I applaud him for the attempt. PSSP is worth considering for a one-term course…” (“The American Statistician”, August 2006)
“This book is an amazingly interesting and not-boring textbook…” (“Technometrics”, February 2006)
“This is an excellent textbook that covers the three subjects of its title at an undergraduate upper level in one single volume…well organized and neatly written…” (“Mathematical Reviews”, 2006a)
“This is an excellent textbook that covers the three subjects of its title at an undergraduate upper level in one single volume… well organized and neatly written… ” (“Mathematical Reviews,” 2006a)
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 2nd Edition, 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 2nd Edition, 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.
From the Back Cover
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 2nd Edition, 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 2nd Edition, 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.
About the Author
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.
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