Recent content by actcs

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    Expectation Of The Maximum When One Of The Random Variables Is Constant

    I said that solution was E[X] = Integral From 0 To 2 [ 2*f(t)dt ] + Integral From 2 To Infinity [ t*f(t)dt ] Which is almost the same as you posted It should be: E[X] = 2 [1-Exp[-2/3]] + Integral From 2 To Infinity [ t*f(t)dt ] Best Regards
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    Expectation Of The Maximum When One Of The Random Variables Is Constant

    Hello, Thank you for replying The problem in this case is that the constant random variable is involved in an order statistic, so it is not so trivial to see the sample space of each of the random variables I did this: Write the random variable X as: X = 2 I(0,2](T) + T I(2,Infinity)(T)...
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    Expectation Of The Maximum When One Of The Random Variables Is Constant

    Good Evening: I'm given this problem: A device that continuously measures and records seismic activity is placed in a remote region. The time, T, to failure of this device is exponentially distributed with mean 3 years. Since the device will not be monitored during its first two years of...
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    Bidimensional Bounded Random Walk

    Well, you're completely right about the total number of possible random walks, I must have miscalculated. On the other hand, to calculate the probability it isn't just as simple as dividing by 1024 once we have worked out the number of random walks which stay in the inner 3x3 grid, that's...
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    Bidimensional Bounded Random Walk

    A grid of 4x4 is given .__.__.__.__. | | | | | .__.__.__.__. | | | | | .__.__o__.__. | | | | | .__.__.__.__. | | | | | .__.__.__.__. A ball is located at the center of the grid which is to perform a 5 step random walk with equal probability in any...
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