'Geometric random variable' presentation slideshows

Probability Models

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Monte Carlo Model Checking Radu Grosu SUNY at Stony Brook

Monte Carlo Model Checking Radu Grosu SUNY at Stony Brook. Joint work with Scott A. Smolka. Model Checking. ?. Is system S a model of formula ? ?. Model Checking. S is a nondeterministic/concurrent system. ? is a temporal logic formula. in our case Linear Temporal Logic (LTL).

644 views • 36 slides

Chapter 8 The Binomial and Geometric Distributions

557 views • 33 slides

Random Variable

Random Variable. A random variable X is a function that assign a real number, X ( ? ), to each outcome ? in the sample space of a random experiment. Domain of the random variable -- S Range of the random variable -- S x

1.31k views • 32 slides

7. Properties of expectation

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Two Functions of Two Random Variables

Two Functions of Two Random Variables. Two Functions of Two RV.s. X and Y are two random variables with joint p.d.f and are functions define the new random variables: How to determine the joint p.d.f

502 views • 32 slides

Poisson random variable

459 views • 28 slides

Poisson random variable

435 views • 28 slides

Geometric and Hyper-geometric Distribution

488 views • 23 slides

Geometric PD

Geometric PD. Geometric Distribution If you were to flip a coin wanting to get a head, you would keep flipping until you obtained that head. Geometric Distribution Newborns Revisited . . . Suppose we were not interested in the number of females born out of the next five births, but

240 views • 23 slides

Chapter 8

Chapter 8. Binomial and Geometric Distributions. 8.1 The Binomial Distributions. Binomial Setting Each observation falls into one of two categories, success or failure There is a fixed number n of observations The n observations are all independent

307 views • 18 slides

Discrete Uniform Distribution

348 views • 14 slides