View source: R/estimation_functions.R

estimate_logis_ol | R Documentation |

This function serves two purposes: (1) collate the location and scale parameters into a single list object,
and (2) allow for bias in the standard deviation arising from the overlapping data
by using `calc_sd_ol_bias_fac`

.

```
estimate_logis_ol(x, noverlap = 1)
```

`x` |
The data whose mean and standard deviation are required. |

`noverlap` |
The extent to which the data is overlapped. |

The scale parameter is derived from the sample standard deviation by multiplying by `sqrt(3) / pi`

.
See the formula for logistic variance on Wikipedia.
Note that the adjustment for overlapping data bias is multiplicative to the sample standard deviation
and so applies to the logistic scale parameter in the same way that it does to the Normal sample standard deviation.

- location
the mean of

`x`

- scale
the scale parameter derived from standard deviation of

`x`

adjusted for overlapping data bias, if any

Other Estimation functions:
`estimate_exp_ol()`

,
`estimate_mean_sd_ol()`

```
estimate_logis_ol(rlogis(100))
```

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