| 1. | A similar integral can be written for the cumulative distribution function.
|
| 2. | The cumulative distribution function of " K " is given by
|
| 3. | Such a probability distribution can always be captured by its cumulative distribution function
|
| 4. | The cumulative distribution function of Y \, \ ! is
|
| 5. | This question can be answered using the cumulative distribution function.
|
| 6. | Where & Phi; is the normal cumulative distribution function.
|
| 7. | Is the complementary cumulative distribution function ( also called survival function ).
|
| 8. | Here and are the cumulative distribution functions of random variables and, respectively.
|
| 9. | In general, any cumulative distribution function of a normal distributions, respectively.
|
| 10. | Wrong choice leads to wrong conditional cumulative distribution functions.
|
मोबाइल