ISBN: 9780470889749 - probability, statistics, and stochastic processes (15 Ergebnisse)

Hardcover. Zustand: Very Good. 2. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: new.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Zustand: New.

Zustand: New. pp. 576.

Zustand: New. In English.

Zustand: New. This book provides a unique and balanced approach to probability, statistics, and stochastic processes. Readers gain a solid foundation in all three fields that serves as a stepping stone to more advanced investigations into each area. Num Pages: 576 pages, Illustrations. BIC Classification: PBT; PBWL. Category: (P) Professional & Vocational. Dimension: 236 x 162 x 40. Weight in Grams: 922. . 2012. 2nd Edition. Hardcover. . . . .…

Hardback. Zustand: New. 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.…

Gebunden. Zustand: New. 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: T.

Zustand: New. This book provides a unique and balanced approach to probability, statistics, and stochastic processes. Readers gain a solid foundation in all three fields that serves as a stepping stone to more advanced investigations into each area. Num Pages: 576 pages, Illustrations. BIC Classification: PBT; PBWL. Category: (P) Professional & Vocational. Dimension: 236 x 162 x 40. Weight in Grams: 922. . 2012. 2nd Edition. Hardcover. . . . . Books ship from the US and Ireland.…

Hardcover. Zustand: Brand New. 2nd edition. 566 pages. 9.25x6.25x1.25 inches. In Stock.

Buch. Zustand: Neu. Neuware - Praise for the First Edition'. . . an excellent textbook . . . well organized and neatly written.'--Mathematical Reviews'. . . amazingly interesting . . .'--TechnometricsThoroughly 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 modelExtensively 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.…

Hardback. Zustand: New. 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.…