Sem 4 Math Module 4

Descripción

Joint Probability Distribution summary
Arushi Gupta
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Arushi Gupta
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Resumen del Recurso

Sem 4 Math Module 4
  1. Discrete Case
    1. PMF - Probability mass function

      Nota:

      • ExEy f(x,y) = 1
      1. MPF -Marginal probability function
        1. Mathematical expectation
          1. Covariance
            1. Standard Deviation
            2. Continuous Case
              1. PMF - Probability mass function
                1. MPF -Marginal probability function
                2. Conditional probability distribution function

                  Nota:

                  • f(y/x) = f(x,y)/f(x) = (Joint probability function)/(Marginal Probability distribution function of x)
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