2004 | OriginalPaper | Chapter
Histogram
Authors : Wolfgang Härdle, Axel Werwatz, Marlene Müller, Stefan Sperlich
Published in: Nonparametric and Semiparametric Models
Publisher: Springer Berlin Heidelberg
Included in: Professional Book Archive
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Let X be a continuous random variable and f its probability density function (pdf). The pdf tells you “how X is distributed”. From the pdf you can calculate the mean and variance of X (if they exist) and the probability that X will take on values in a certain interval. The pdf is, thus, very useful to characterize the distribution of the random variable X.