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  1. M

    Baye's in distributions

    I don't understand theta in the formula for the prior distribution. Isn't the prior (in this case) a normal distribution with some mju and zigma? What does theta mean?
  2. M

    log transformation

    When taking the log of a lognormally distributed variable (left graph) we get a normally distributed variable (right graph). The probability density function (PDF) of the left graph is: What is the PDF of the right graph? I have read somewhere that the PDF of the right graph is . But I am...
  3. M

    log transformation

    I am sorry, my question was not very clear. I make another try: If one takes the log of a log-normal variable the resulting log-variable is normally distributed. My question is then, what is the pdf of this log-variable? Is it log [ ], where is the pdf of a log-normal variable. I would like...
  4. M

    log transformation

    I am trying to understand the relationship between lognormal and normal distribution. I understand that a variable transformed into a normal distribution by taking the log of it has a lognormal distribution. I thought that the pdf of this log transformed variable is , but looking at...
  5. M

    qq-plot axes

    In a qq-plot comparing some set of data to the normal distribution, the x-axis goes from -2 to +2 (theoretical quantile) and the y-axis goes from some real number to another real number (sample quantile). I have also seen that both axes can go from 0 to +1.0. How can I redo the first version to...