exp_test_ad {agop} | R Documentation |

## Anderson-Darling Test for Exponentiality

### Description

Performs an approximate Anderson-Darling goodness-of-fit test, which verifies the null hypothesis: Data follow an exponential distribution.

### Usage

```
exp_test_ad(x)
```

### Arguments

`x` |
a non-negative numeric vector of data values |

### Details

Sample size should be not less than 3. Missing values
are removed from `x`

before applying the procedure.

The p-value is approximate: its distribution has been estimated by taking 2500000 MC samples. For performance and space reasons, the estimated distribution is recreated by a spline interpolation on a fixed number of points. As a result, the resulting p-value distribution might not necessarily be uniform for p>>0.5.

### Value

A list of the class `htest`

is returned,
just like in many other testing methods,
see, e.g., `ks.test`

.

### References

Anderson T.W., Darling D.A.,
A Test of Goodness-of-Fit,
*Journal of the American Statistical Association* 49,
1954, pp. 765-769.

### See Also

Other Tests:
`pareto2_test_ad()`

,
`pareto2_test_f()`

*agop*version 0.2.4 Index]