Abstract
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.
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© 2004 Springer-Verlag Berlin Heidelberg
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Härdle, W., Werwatz, A., Müller, M., Sperlich, S. (2004). Histogram. In: Nonparametric and Semiparametric Models. Springer Series in Statistics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17146-8_2
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DOI: https://doi.org/10.1007/978-3-642-17146-8_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-62076-8
Online ISBN: 978-3-642-17146-8
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