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Grinstead and Snell's Introduction to Probability
Grinstead and Snell's Introduction to Probability
Created 9 June 2024
Managed by
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Mathematics
Probability
Introductory probability course
36
Pages
0
Questions
709
Exercises
Content
Questions
Exams
Performance
Discrete Probability Distributions
Simulation of Discrete Probabilities
0
17
Discrete Probability Distributions
0
31
Continuous Probability Densities
Simulation of Continuous Probabilities
0
11
Continuous Density Functions
0
23
Combinatorics
Permutations
0
24
Combinations
0
40
Card Shuffling
0
5
Conditional Probability
Discrete Conditional Probability
0
63
Continuous Conditional Probability
0
14
Paradoxes
0
6
Distributions and Densities
Important Distributions
0
46
Important Densities
0
38
Expected Value and Variance
Expected Value of Discrete Random Variables
0
41
Variance of Discrete Random Variables
0
29
Continuous Random Variables
0
28
Sums of Independent Random Variables
Sums of Discrete Random Variables
0
11
Sums of Continuous Random Variables
0
21
Law of Large Numbers
Law of Large Numbers for Discrete Random Variables
0
17
Law of Large Numbers for Continuous Random Variables
0
18
Central Limit Theorem
Central Limit Theorem for Bernoulli Trials
0
18
Central Limit Theorem for Discrete Independent Trials
0
15
Central Limit Theorem for Continuous Independent Trials
0
15
Generating Functions
Generating Functions for Discrete Distributions
0
11
Branching Processes
0
8
Generating Functions for Continuous Densities
0
10
Markov Chains
Introduction
0
19
Absorbing Markov Chains
0
36
Ergodic Markov Chains
0
33
Fundamental Limit Theorem for Regular Chains
0
9
Mean First Passage Time for Ergodic Chains
0
24
Random Walks
Random Walks in Euclidean Space
0
15
Gambler's Ruin
0
11
Arc Sine Laws
0
2
Appendices
Appendix A
0
0
Appendix B
0
0
Appendix C
0
0
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