Negative Binomial Distribution Calculator - PMF
Calculates the the number of successes in a sequence of independent and identically distributed Bernoulli trials before a specified (non-random) number of failures occurs.
See the Statistical Distributions Overview page for more statistical distribution calculators.
Example 1
| Value | Keystrokes | Display | Description |
|---|---|---|---|
| 3 | fail | 3.000 | Stores the fail value. |
| 5 | sccs | 5.000 | Stores the sccs value. |
| .4 | prob | 0.4000 | Stores the prob value. |
| pmf | 0.07741 | Calculates the pmf. |
Reference:
Negative Binomial Distribution - Wikipedia
"Different texts adopt slightly different definitions for the negative binomial distribution. They can be distinguished by whether the support starts at k = 0 or at k = r, whether p denotes the probability of a success or of a failure, and whether r represents success or failure,[1] so it is crucial to identify the specific parametrization used in any given text."