Download S1 - Chapter 8 - Discrete Random Variables

Survey
yes no Was this document useful for you?
   Thank you for your participation!

* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project

page
1
page
2
page
3
page
4
page
5
page
6
page
7
page
8
page
9
page
10
page
11
page
12
page
13
page
14
page
15
page
16
page
17
page
18
page
19
page
20
page
21
page
22
page
23
Document related concepts

Abuse of notation wikipedia , lookup

History of the function concept wikipedia , lookup

Inductive probability wikipedia , lookup

Birthday problem wikipedia , lookup

Infinite monkey theorem wikipedia , lookup

Central limit theorem wikipedia , lookup

Negative binomial distribution wikipedia , lookup

Risk aversion (psychology) wikipedia , lookup

Expected value wikipedia , lookup

Law of large numbers wikipedia , lookup

Transcript 

					

				

			


			

				
                

                    

                        
                        
							Related documents						
                    

                    

        				

					        					        
							                                
                                    

                                        

                                            

                                                HOMEWORK 6 Exercise 1. (a) Let X be a Bernoulli random variable
                                            

                                            
HOMEWORK 6 Exercise 1. (a) Let X be a Bernoulli random variable

                                        

                                    

                                
							                                
                                    

                                        

                                            

                                                An Empirical Analysis in Risk Management: Comparison of Portfolio Value at Risk with Different Approaches
                                            

                                            
An Empirical Analysis in Risk Management: Comparison of Portfolio Value at Risk with Different Approaches

                                        

                                    

                                
							                                
                                    

                                        

                                            

                                                Lecture 23 - Stony Brook AMS
                                            

                                            
Lecture 23 - Stony Brook AMS

                                        

                                    

                                
							                                
                                    

                                        

                                            

                                                Probability 2 - REQUIREMENTS FOR TEST. 1. P.g.f.: (a) Know p.g.f.
                                            

                                            
Probability 2 - REQUIREMENTS FOR TEST. 1. P.g.f.: (a) Know p.g.f.

                                        

                                    

                                
							                                
                                    

                                        

                                            

                                                Functions and uniform distribution
                                            

                                            
Functions and uniform distribution

                                        

                                    

                                
							                                
                                    

                                        

                                            

                                                Discrete Mean and Variance under Transformations
                                            

                                            
Discrete Mean and Variance under Transformations

                                        

                                    

                                
							                                
                                    

                                        

                                            

                                                Joint, Marginal, and Conditional Distributions
                                            

                                            
Joint, Marginal, and Conditional Distributions

                                        

                                    

                                
							                                
                                    

                                        

                                            

                                                Proof of the Law of Large Numbers in the Case of Finite Variance
                                            

                                            
Proof of the Law of Large Numbers in the Case of Finite Variance

                                        

                                    

                                
							                                
                                    

                                        

                                            

                                                A probability argument that lays the foundation for the Monte Carlo
                                            

                                            
A probability argument that lays the foundation for the Monte Carlo

                                        

                                    

                                
							                                
                                    

                                        

                                            

                                                3.3 MEASURES OF SPREAD (1) We use the variance to measure
                                            

                                            
3.3 MEASURES OF SPREAD (1) We use the variance to measure

                                        

                                    

                                
							                                
                                    

                                        

                                            

                                                Checklist S1 - 2July
                                            

                                            
Checklist S1 - 2July

                                        

                                    

                                
							                                
                                    

                                        

                                            

                                                6.9 – Discrete Random Variables: Mean and Standard Deviation
                                            

                                            
6.9 – Discrete Random Variables: Mean and Standard Deviation