Hi,

I have n data points (sorry I cannot share data) which on log10 scale is assumed normally distributed with mean as log10(mu) and measurement error as normally distributed with mean 0 and standard deviation of 1.

So for each data point the model reads as

```
log10(y_i) = log10(mu_i) + error
```

Is the following sampling statement for this model correct?

```
data{
y[n];
}
model {
y ~ lognormal(log10(mu), 1);
}
```

Or would it be like :

```
model {
y ~ lognormal(log(mu), 1);
}
```

Generating data from the two sampling statements gave me very different results, so just checking which statement is correct

Thanks