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Probability Mass Function: Probability Theory, Discrete Random Variable, Probability Density Function
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 (Buch) |
Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!
| Lieferstatus: |
i.d.R. innert 7-14 Tagen versandfertig |
| Veröffentlichung: |
April 2026
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| Genre: |
Schulbücher |
| ISBN: |
9786133673199 |
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EAN-Code:
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9786133673199 |
| Verlag: |
Omniscriptum |
| Einband: |
Kartoniert |
| Sprache: |
English
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| Dimensionen: |
H 220 mm / B 150 mm / D 7 mm |
| Gewicht: |
179 gr |
| Seiten: |
108 |
| Bewertung: |
Titel bewerten / Meinung schreiben
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| Inhalt: |
| Please note that the content of this book primarily consists of articles
available from Wikipedia or other free sources online. In probability
theory, a probability mass function (pmf) is a function that gives the
probability that a discrete random variable is exactly equal to some
value. A pmf differs from a probability density function (pdf) in that
the values of a pdf, defined only for continuous random variables, are
not probabilities as such. Instead, the integral of a pdf over a range
of possible values (a,b] gives the probability of the random variable
falling within that range. See interval notation (mathematics) for the
meaning of the notation (a,b]. Since the image of X is countable, the
probability mass function fX(x) is zero for all but a countable number
of values of x. The discontinuity of probability mass functions reflects
the fact that the cumulative distribution function of a discrete random
variable is also discontinuous. |
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