Applied Probability, 3rd Edition by Kenneth Lange – Hardcover (ISBN: 9781071641712)

By Kenneth Lange

Applied Probability, 3rd Edition by Kenneth Lange is a rigorous Springer textbook presenting probability theory through a strong blend of mathematical foundations, modeling, and real-world applications. This updated edition supports advanced study of random variables, distributions, expectation, conditional probability, Markov chains, Poisson processes, stochastic modeling, entropy, and applied probabilistic methods used across statistics, mathematics, engineering, biology, finance, computer science, and data science.

Designed for mathematics departments, statistics programs, data science courses, engineering schools, actuarial science programs, operations research groups, computational biology programs, university libraries, and institutional procurement teams, this textbook supports upper-level undergraduate and graduate instruction in applied probability, stochastic processes, probabilistic modeling, and quantitative analysis.

What This Book Does

This textbook helps students connect probability theory with applied modeling. It develops core probability tools, introduces stochastic models, explains important distributions and processes, and demonstrates how probabilistic reasoning is used to solve practical problems in science, engineering, medicine, finance, computing, and statistical research.

Key Features

• Third edition of Kenneth Lange’s applied probability textbook from Springer
• Combines probability theory with modeling, applications, and worked exercises
• Covers random variables, distributions, expectation, conditional probability, Markov processes, and stochastic modeling
• Includes updated material and new topics, including entropy and mathematical applications
• Useful for statistics, mathematics, engineering, actuarial science, finance, biology, and computer science programs
• Strong fit for graduate courses, quantitative research programs, university libraries, and institutional textbook purchasing

Who Should Use This Book?

• Upper-level undergraduate and graduate students in probability and statistics
• Mathematics, statistics, data science, engineering, and computer science departments
• Actuarial science, financial mathematics, operations research, and quantitative modeling programs
• Faculty teaching applied probability, stochastic processes, and mathematical statistics
• Researchers using probability models in biology, medicine, finance, computing, and engineering
• University libraries and institutional quantitative science collections
• Institutions purchasing probability textbooks in bulk for course adoption or library use

Why It’s Essential

• Provides a rigorous applied bridge between probability theory and real quantitative modeling
• Supports advanced study of stochastic processes, random systems, entropy, and probabilistic analysis
• Helps students develop mathematical maturity for research and professional quantitative work
• Strong fit for academic programs in statistics, mathematics, engineering, actuarial science, data science, and operations research

A rigorous applied probability textbook for statistics, mathematics, engineering, actuarial science, data science, stochastic modeling, and quantitative research programs.
Order today from BooksGoat for reliable academic supply and institutional bulk purchasing.

Product Details

• ISBN-13: 9781071641712
• ISBN-10: 1071641719
• Digital ISBN: 9781071641729
• Edition: 3rd
• Author: Kenneth Lange
• Publisher: Springer
• Series: Springer Texts in Statistics
• Format: Hardcover
• Publication Year: 2024
• Condition: New
• Price: $69.99
• Minimum Order: 5 Copies
• Availability: In Stock

TOC Highlights

• Foundations of Applied Probability
• Random Variables and Probability Distributions
• Expectation, Variance, and Moment Methods
• Conditional Probability and Conditional Expectation
• Common Discrete and Continuous Distributions
• Generating Functions and Transform Methods
• Markov Chains and Stochastic Processes
• Poisson Processes and Waiting-Time Models
• Entropy and Information-Theoretic Applications
• Probability Models in Biology, Engineering, Finance, and Data Science

FAQs

• Is this the 3rd Edition of Applied Probability?
  Yes. This listing is for Applied Probability, 3rd Edition by Kenneth Lange with ISBN 9781071641712.
• Who is the author?
  The book is written by Kenneth Lange.
• Who publishes this textbook?
  The book is published by Springer as part of Springer Texts in Statistics.
• What does this book cover?
  It covers probability theory, random variables, distributions, expectation, conditional probability, stochastic models, Markov chains, Poisson processes, entropy, and applied probabilistic modeling.
• Who should use this book?
  It is suitable for upper-level undergraduate and graduate students in statistics, mathematics, data science, engineering, actuarial science, operations research, computer science, and quantitative modeling programs.
• Is this suitable for institutional and bulk orders?
  Yes. BooksGoat supports bulk purchasing for universities, statistics departments, mathematics programs, engineering schools, data science programs, libraries, and institutional procurement teams.