(eBook PDF) Introduction to Probability by Mark Ward – Digital Ebook – Instant Delivery Download
Product details:
- ISBN-10 : 0716771098
- ISBN-13 : 978-0716771098
- Author: Mark Ward , Ellen Gundlach
Unlike most probability textbooks, which are often written only for the mathematically-oriented students, Mark Ward and Ellen Gundlach’s Introduction to Probability makes the subject much more accessible, reaching out to a much wider introductory-level audience. Its approachable and conversational style, highly visual approach, practical examples, and step-by-step problem solving procedures help all kinds of students understand the basics of probability theory and its broad applications in the outside world.
Table contents:
1 Outcomes, Events, and Sample Spaces
2 Probability
3 Independent Events
4 Conditional Probability
5 Bayes Theorem
6 Review of Randomness
7 Discrete Versus Continuous Random Variables
8 Probability Mass Functions and CDFs
9 Independence and Conditioning
10 Expected Values of Discrete Random Variables
11 Expected Values of Sums of Random Variables
12 Variance of Discrete Random Variables
13 Review of Discrete Random Variables
14 Bernoulli Random Variables
15 Binomial Random Variables
16 Geometric Random Variables
17 Negative Binomial Random Variables
18 Poisson Random Variables
19 Hypergeometric Random Variables
20 Discrete Uniform Random Variables
21 Review of Named Discrete Random Variables
22 Introduction to Counting
23 Two Case Studies in Counting24 Continuous Random Variables and PDFs
25 Joint Densities
26 Independent Continuous Random Variables
27 Conditional Distributions
28 Expected Values of Continuous Random Variables
29 Variance of Continuous Random Variables
30 Review of Continuous Random Variables
31 Continuous Uniform Random Variables
32 Exponential Random Variables
33 Gamma Random Variables
35 Normal Random Variables
36 Sums of Independent Normal Random Variables
37 Central Limit Theorem
39 Variance of Sums; Covariance; Correlation
40 Conditional Expectation
41 Markov and Chebyshev Inequalities
42 Order Statistics
43 Moment Generating Functions
44 Transformations of One or Two Random Variables
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