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3:48
Probability Mass Function (PMF): Definition, Examples
What is a probability mass function? Simple definition , graphs and examples. How a histogram shows the PMF. Formal definition and informal.
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2022年10月29日
Probability Mass Function Examples
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Determine the value of c that makes the function f(x, y)=c(x y) a joint probability mass function over the nine points with x=1,2,3 and y=1,2,3 Determine the following: (a) P(X=1, Y<4) (b) P(X=1) (c) P(Y=2) (d) P(X<2, Y<2) (e) E(X), E(Y), V(X), and V(Y) (f) Marginal probability distribution of X (g) Conditional probability distribution of Y given that X=1 (h) Conditional probability distribution of X given that Y=2 (i) E(Y |X=1) (j) Are X and Y independent? | Numerade
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The Principle of Maximum Entropy: For a probability mass function p = (Pi, € S) on a countable set S, the entropy defined by h(p) = -∑(Pi * log Pi) for i in S. For a continuous probability density function f (x) on the interval [a, b], the entropy defined by h(f) = -∫(f(x) * log f(x)) dx.In the definition of entropy, log T is understood to be zero whenever T = 0. The entropy of a probability distribution can be seen as a measure of the amount of ignorance in the distribution. The principle
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