exponential distribution वाक्य
उदाहरण वाक्य
मोबाइल
- They may also be generated as the difference of two exponential distributions.
- Reliability theory and reliability engineering also make extensive use of the exponential distribution.
- *The exponential distribution is the continuous analogue of the geometric distribution.
- If these conditions are not true, then the exponential distribution is not appropriate.
- The exponential distribution may be useful to model events such as
- The negative natural logarithm of a uniformly distributed value follows an exponential distribution.
- The exponential distribution is recovered as q \ rightarrow 1.
- Matrix exponential distributions can be fitted using maximum likelihood estimation.
- It is also the conjugate prior for the exponential distribution.
- Because the exponential distribution is skewed right, the median is less than the mean.
- A Mittag-Leffler distribution of order 0 is an exponential distribution.
- For an exponential distribution, the tail looks just like the body of the distribution.
- This comparison is often made relative to the normal distribution, or to the exponential distribution.
- The Weibull distribution extends the exponential distribution to allow constant, increasing, or decreasing hazard rates.
- Other examples of unimodal distributions include Cauchy distribution, Student's t-distribution, chi-squared distribution and exponential distribution.
- The exponential distribution is not the same as the class of Poisson, and many others.
- The Erlang distribution with shape parameter k equal to 1 simplifies to the exponential distribution.
- In contrast, the exponential distribution describes the time for a continuous process to change state.
- This is a known characteristic of the exponential distribution, i . e ., its memoryless property.
- Benford's law also describes the exponential distribution and the ratio distribution of two exponential distributions well.
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