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Unformatted text preview: v i ) = 1. I Mean/Expected Value: E [ V ] = n i =1 v i p ( v i ). I Conditional Probability. .. Obara (UCLA) Introduction January 5, 2009 6 / 8 Required Math Probability Continuous Case I Random Variable: V take one of the value from [ v , v ]. I Cumulative Probability: F ( v ) = Pr( V v ). I Density Function: f ( v ) = F ( v ). So F ( v ) = R v v f ( x ) dx . I Expected Value: E [ V ] = R v v xf ( x ) dx . I Conditional Expectation. .. Obara (UCLA) Introduction January 5, 2009 7 / 8 Required Math Vector and Matrix Vector and Matrix Operations a 1 , 1 a 1 , 2 a 2 , 1 a 2 , 2 x 1 x 2 = a 1 , 1 x 1 + a 1 , 2 x 2 a 2 , 1 x 1 + a 2 , 2 x 2 . Inner Product: x y = x 1 y 1 + x 2 y 2 = k x kk y k cos . Inverse: A1 A = I . etc. .. Obara (UCLA) Introduction January 5, 2009 8 / 8...
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This note was uploaded on 03/02/2010 for the course ECON econ 145 taught by Professor Obara during the Winter '10 term at UCLA.
 Winter '10
 Obara

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