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Fundamentals of Probability and Statistics for Engineers

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134 <strong>Fundamentals</strong> <strong>of</strong> <strong>Probability</strong> <strong>and</strong> <strong>Statistics</strong> <strong>for</strong> <strong>Engineers</strong>whereThe theorems stated in this section do not apply in this case to the portionsv 1 105V because infinite <strong>and</strong> noncountable number <strong>of</strong> roots<strong>for</strong> v 1 exist in these regions. However, we deduce immediately from Figure 5.14thatFor the middle portion, Equation (5.7) leads toNow,We thus haveg…V 1 †ˆ0; V 1 < 95;95g…V 1 †ˆV1; 95 V 1 105;10g…V 1 †ˆ1; V 1 > 105:P…V 2 ˆ 0† ˆP…V 1 95† ˆF V1 …95†Z 95ˆ f V1 …v 1 †dv 1 ˆ 1904 ;P…V 2 ˆ 1† ˆP…V 1 > 105† ˆ1 F V1 …105†ˆ 14 :F V2 …v 2 †ˆF V1 ‰g 1 …v 2 †Šˆ F V1 …10v 2 ‡ 95†; 0 < v 2 < 1:90F V1 …v 1 †ˆv1; 90 v 1 110:20F V2 …v 2 †ˆ 120 …10v 2 ‡ 95 90† ˆ2v 2 ‡ 1; 0 < v 2 < 1:4ThePDF, F V 2(v 2 ), is shown in Figure 5.15, an example <strong>of</strong> a mixed distribution.5.1.2 MOMENTSHaving developed methods <strong>of</strong> determining the probability distribution <strong>of</strong>Y ˆ g(X), it is a straight<strong>for</strong>ward matter to calculate all the desired momentsTLFeBOOK

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