Statistics function incorrectly computing median
Miguel Garcia-Blanco
miguel.01 at ihug.com.au
Mon Jan 21 16:53:53 CST 2008
> I was referring to Octave's statistics functions, specifically
> discrete_inv.m
>
> Octave's present algorithms calculate the quantiles from the specified
> probabilities, P. Thus, it may not always be possible to find a proper
> algorithm that works for varied probabilities that is consistent with a
> pre-exiting algorithm that works for constant probabilities.
>
Ah, now I understand what you mean.
All of the *inv.m functions (e.g., binoinv, norminv, etc.), with the
exception of empirical_inv.m, are only for population distributions, not
samples (i.e., they return theoretical values of population parameters).
Hence, discrete_inv.m is inappropriate for computing sample quantiles.
-Miguel
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