HomeView Cart
Dover HomeStore DirectoryCustomer Service
Applied Probability Models with Optimization Applications
Free Samples
New ReleasesFREE SAMPLESMY ACCOUNTDover's Safe Shopping GuaranteeSave with Free Shipping on orders of $50 or more
Search

By Subject > Science and Mathematics > Mathematics > Probability and Statistics
Click to enlargeApplied Probability Models with Optimization Applications

Sheldon M. Ross
Our Price$11.95New!(Table of Contents)
Availability: In Stock
Format: Book
ISBN: 0486673146
Page Count: 198
Dimensions: 5 3/8 x 8 1/2
Concise advanced-level introduction to stochastic processes that frequently arise in applied probability. Largely self-contained text covers Poisson process, renewal theory, Markov chains, inventory theory, Brownian motion and continuous time optimization models, much more. Problems and references at chapter ends. "excellent introduction." — Journal of the American Statistical Association. Bibliography. 1970 edition.

Buy Now!




Add this to your cart
(you can always remove it later).

Shopping here is Guaranteed Safe!



Here's a sample of other books in this Dover category
Probability: Elements of the Mathematical TheoryProbability: Elements of the Mathematical Theory 
by C. R. Heathcote
Text deals with basic notions of probablity spaces, random variables, distribution and generating functions, joint distributions and the convergence properties of sequences of random variables. Over 250 exercises with solutions.


all books in Probability and Statistics

Optimization Theory with ApplicationsOptimization Theory with Applications 
by Donald A. Pierre
Broad-spectrum approach to important topic. Explores the classic theory of minima and maxima, classical calculus of variations, simplex technique and linear programming, optimality and dynamic programming, more. 1969 edition.


all books in Electrical Engineering

Fifty Challenging Problems in Probability with SolutionsFifty Challenging Problems in Probability with Solutions 
by Frederick Mosteller
Remarkable puzzlers, graded in difficulty, illustrate elementary and advanced aspects of probability. These problems were selected for originality, general interest or because they demonstrate valuable techniques. Also includes detailed solutions.


all books in Probability and Statistics

Mathematical Modelling TechniquesMathematical Modelling Techniques 
by Rutherford Aris
Highly useful volume discusses the types of models, how to formulate and manipulate it for best results. Numerous examples.


all books in Operations Research

Introduction to the Theory of Random ProcessesIntroduction to the Theory of Random Processes 
by I. I. Gikhman, A. V. Skorokhod
Rigorous exposition suitable for elementary instruction. Covers measure theory, axiomatization of probability theory, processes with independent increments, Markov processes and limit theorems for random processes, more. Introduction. Bibliography. 1969 edition.

all books in Probability and Statistics

Gaussian Processes, Function Theory, and the Inverse Spectral ProblemGaussian Processes, Function Theory, and the Inverse Spectral Problem 
by H. Dym, H. P. McKean
This text offers background in function theory, Hardy functions, and probability as preparation for surveys of Gaussian processes, strings and spectral functions, and strings and spaces of integral functions. 1976 edition.

all books in Probability and Statistics

Finite Markov Processes and Their ApplicationsFinite Markov Processes and Their Applications 
by Marius Iosifescu
Self-contained treatment covers both theory and applications. Topics include the fundamental role of homogeneous infinite Markov chains in the mathematical modeling of psychology and genetics. 1980 edition.

all books in Mathematics

Foundations of Measurement Volume II: Geometrical, Threshold, and Probabilistic RepresentationsFoundations of Measurement Volume II: Geometrical, Threshold, and Probabilistic Representations 
by David H. Krantz, R. Duncan Luce, Amos Tversky, Patrick Suppes
All of the sciences have a need for quantitative measurement. This influential series established the formal foundations for measurement, justifying the assignment of numbers to objects in terms of their structural correspondence. 1989 edition.


all books in General and Popular Mathematics

An Introduction to IdentificationAn Introduction to Identification 
by J. P. Norton
Suitable for advanced undergraduates and graduate students, this text covers the theoretical basis for mathematical modeling as well as a variety of identification algorithms and their applications. 1986 edition.

all books in Electrical Engineering

Nonstandard Methods in Stochastic Analysis and Mathematical PhysicsNonstandard Methods in Stochastic Analysis and Mathematical Physics 
by Sergio Albeverio, Jens Erik Fenstad, Raphael Høegh-Krohn, Tom Lindstrøm
Two-part treatment begins with a self-contained introduction to the subject, followed by applications to stochastic analysis and mathematical physics. "A welcome addition." — Bulletin of the American Mathematical Society. 1986 edition.

all books in Real and Complex Analysis

Analytical Methods of OptimizationAnalytical Methods of Optimization 
by D. F. Lawden
Suitable for advanced undergraduates and graduate students, this text surveys the classical theory of the calculus of variations. Topics include static systems, control systems, additional constraints, the Hamilton-Jacobi equation, and the accessory optimization problem. 1975 edition.


all books in Game Theory

Introduction to Stochastic Models: Second EditionIntroduction to Stochastic Models: Second Edition 
by Roe Goodman
Newly revised by the author, this undergraduate-level text introduces the mathematical theory of probability and stochastic processes. Features worked examples as well as exercises and solutions.


all books in Game Theory

Optimal Control Theory: An IntroductionOptimal Control Theory: An Introduction 
by Donald E. Kirk
Upper-level undergraduate text introduces aspects of optimal control theory: dynamic programming, Pontryagin's minimum principle, and numerical techniques for trajectory optimization. Numerous figures, tables. Solution guide available upon request. 1970 edition.

all books in Electrical Engineering

Stochastic Models in Operations Research, Vol. II: Stochastic OptimizationStochastic Models in Operations Research, Vol. II: Stochastic Optimization 
by Daniel P. Heyman, Matthew J. Sobel
The 2nd of a graduate-level 2-volume set introduces myopic optimal policies, Markov decision processes, generalizations of MDPs and related computational considerations, monotone optimal policies, and sequential games. 1984 edition. Includes 43 figures and 50 tables.


all books in Operations Research

Stochastic Models in Operations Research, Vol. I: Stochastic Processes and Operating CharacteristicsStochastic Models in Operations Research, Vol. I: Stochastic Processes and Operating Characteristics 
by Daniel P. Heyman, Matthew J. Sobel
The first of a graduate-level 2-volume set explores posterity analysis, birth-and-death processes, renewal theory, Markov chains, system properties, networks of queues, and bounds and approximations. 1982 edition. Includes 62 figures and 8 tables.


all books in Operations Research

Join the Dover Family | Track Your Order | Your Account | Shipping Rates and Policies | Returns | Customer Service | Free Samples | About Dover | Privacy Notice | Terms of Use | Join Our Staff | Free Catalogs