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FAST SHIP- A First Course in Probability by Sheldon Ross, 10th International ed.
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- Packing
- Shrinkwrapped- Box Packed
- Edition
- 10
- Cover Picture
- Please see 2nd Image for actual book
- Returns
- 30 days - No Question asked policy
- Product Type
- INTERNATIONAL EDITION
- International ISBN
- 9789356064034
- Features
- International Edition
- Contents
- SAME as in US edition
- Cover Design
- May differ from the Picture shown here
- Binding
- SOFTCOVER
- ISBN
- 9780134753119
- Subject Area
- Mathematics
- Publication Name
- First Course in Probability
- Publisher
- Pearson Education
- Item Length
- 10.1 in
- Subject
- Probability & Statistics / General
- Publication Year
- 2018
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Height
- 0.9 in
- Item Weight
- 40 Oz
- Item Width
- 8.1 in
- Number of Pages
- 528 Pages
關於產品
Product Information
For upper-level to graduate courses in Probability or Probability and Statistics, for majors in mathematics, statistics, engineering, and the sciences. Explores both the mathematics and the many potential applications of probability theory A First Course in Probability offers an elementary introduction to the theory of probability for students in mathematics, statistics, engineering, and the sciences. Through clear and intuitive explanations, it attempts to present not only the mathematics of probability theory, but also the many diverse possible applications of this subject through numerous examples. The 10th Edition includes many new and updated problems, exercises, and text material chosen both for inherent interest and for use in building student intuition about probability.
Product Identifiers
Publisher
Pearson Education
ISBN-10
0134753119
ISBN-13
9780134753119
eBay Product ID (ePID)
13038260008
Product Key Features
Number of Pages
528 Pages
Language
English
Publication Name
First Course in Probability
Publication Year
2018
Subject
Probability & Statistics / General
Type
Textbook
Subject Area
Mathematics
Format
Hardcover
Dimensions
Item Height
0.9 in
Item Weight
40 Oz
Item Length
10.1 in
Item Width
8.1 in
Additional Product Features
Edition Number
10
LCCN
2018-006823
Dewey Edition
23
Target Audience
College Audience
Dewey Decimal
519.2
Lc Classification Number
Qa273
Table of Content
Table of Contents COMBINATORIAL ANALYSIS 1.1 Introduction 1.2 The Basic Principle of Counting 1.3 Permutations 1.4 Combinations 1.5 Multinomial Coefficients 1.6 The Number of Integer Solutions of Equations Summary Problems Theoretical Exercises Self-Test Problems and Exercises AXIOMS OF PROBABILITY 2.1 Introduction 2.2 Sample Space and Events 2.3 Axioms of Probability 2.4 Some Simple Propositions 2.5 Sample Spaces Having Equally Likely Outcomes 2.6 Probability as a Continuous Set Function 2.7 Probability as a Measure of Belief Summary Problems Theoretical Exercises Self-Test Problems and Exercises CONDITIONAL PROBABILITY AND INDEPENDENCE 3.1 Introduction 3.2 Conditional Probabilities 3.3 Bayes''s Formula 3.4 Independent Events 3.5 P (· F ) Is a Probability Summary Problems Theoretical Exercises Self-Test Problems and Exercises RANDOM VARIABLES 4.1 Random Variables 4.2 Discrete Random Variables 4.3 Expected Value 4.4 Expectation of a Function of a Random Variable 4.5 Variance 4.6 The Bernoulli and Binomial Random Variables 4.7 The Poisson Random Variable 4.8 Other Discrete Probability Distributions 4.9 Expected Value of Sums of Random Variables 4.10 Properties of the Cumulative Distribution Function Summary Problems Theoretical Exercises Self-Test Problems and Exercises CONTINUOUS RANDOM VARIABLES 5.1 Introduction 5.2 Expectation and Variance of Continuous Random Variables 5.3 The Uniform Random Variable 5.4 Normal Random Variables 5.5 Exponential Random Variables 5.6 Other Continuous Distributions 5.7 The Distribution of a Function of a Random Variable Summary Problems Theoretical Exercises Self-Test Problems and Exercises JOINTLY DISTRIBUTED RANDOM VARIABLES 6.1 Joint Distribution Functions 6.2 Independent Random Variables 6.3 Sums of Independent Random Variables 6.4 Conditional Distributions: Discrete Case 6.5 Conditional Distributions: Continuous Case 6.6 Order Statistics 6.7 Joint Probability Distribution of Functions of Random Variables 6.8 Exchangeable Random Variables Summary Problems Theoretical Exercises Self-Test Problems and Exercises PROPERTIES OF EXPECTATION 7.1 Introduction 7.2 Expectation of Sums of Random Variables 7.3 Moments of the Number of Events that Occur 7.4 Covariance, Variance of Sums, and Correlations 7.5 Conditional Expectation 7.6 Conditional Expectation and Prediction 7.7 Moment Generating Functions 7.8 Additional Properties of Normal Random Variables 7.9 General Definition of Expectation Summary Problems Theoretical Exercises Self-Test Problems and Exercises LIMIT THEOREMS 8.1 Introduction 8.2 Chebyshev''s Inequality and the Weak Law of Large Numbers 8.3 The Central Limit Theorem 8.4 The Strong Law of Large Numbers 8.5 Other Inequalities and a Poisson Limit Result 8.6 Bounding the Error Probability When Approximating a Sum of Independent Bernoulli Random Variables by a Poisson Random Variable 8.7 The Lorenz Curve Summary Problems Theoretical Exercises Self-Test Problems and Exercises ADDITIONAL TOPICS IN PROBABILITY 9.1 The Poisson Process 9.2 Markov Chains 9.3 Surprise, Uncertainty, and Entropy 9.4 Coding Theory and Entropy Summary Problems and Theoretical Exercises Self-Test Problems and Exercises SIMULATION 10.1 Introduction 10.2 General Techniques for Simulating Continuous Random Variables 10.3 Simulating from Discrete Distributions 10.4 Variance Reduction Techniques Summary Problems Self-Test Problems and Exercises Answers to Selected Problems Solutions to Self-Test Problems and Exercises Index Common Discrete Distributions Common Continuous Distributions
Copyright Date
2019
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