Probability
Regular price
€167.40
A01=Lawrence M Leemis
Author_Lawrence M Leemis
Bernoulli Distribution
Binomial Distribution
Bivariate Distributions
Bivariate Normal Distribution
Category=PBT
Central Limit Theorem
Chebyshev Inequalities
Conditional Probability
Continuous Random Variables
Convergence In Distribution
Convergence In Probability
Counting Techniques
Cumulative Distribution Function Technique
Cumulative Distribution Functions
Discrete Random Variables
eq_isMigrated=1
eq_nobargain
Expected Values
Exponential Distribution
Functions of Random Variables
Gamma Distribution
Geometric Distribution
Hypergeometric Distribution
Independence
Independent Random Variables
Joint Distributions
Markov Inequalities
Moment Generating Function Technique
Multivariate Distributions
Negative Binomial Distribution
Normal Distribution
Order Statistics
Poisson Distribution
Probability
Probability Axioms
Probability Density Function
Probability Mass Function
Random Experiments
Random Variables
Rule of Bayes
Sample Spaces
Set Theory
Transformation Technique
Uniform Distribution
Product details
- ISBN 9789819819584
- Publication Date: 30 Nov 2025
- Publisher: World Scientific Publishing Co Pte Ltd
- Publication City/Country: SG
- Product Form: Hardback
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This calculus-based introduction to probability covers all of the traditional topics, along with a secondary emphasis on Monte Carlo simulation. Examples that introduce applications from a wide range of fields help the reader apply probability theory to real-world problems. The text covers all of the topics associated with Exam P given by the Society of Actuaries.Over 100 figures highlight the intuitive and geometric aspects of probability. Over 800 exercises are used to reinforce concepts and make this text appropriate for classroom use.
