Talk:Generalized Pareto distribution

Special cases

It would be very useful with a table of various special cases of the generalized Pareto distribution. I have collected some information from other articles, but I have no reference to compare it with. Can someone help out here? Isheden (talk) 19:56, 19 December 2011 (UTC)[reply]

Distribution	Parameters	location μ (θ)	shape ξ (k)	scale σ
Exponential distribution	λ	0	0	${\tfrac {1}{\lambda }}$
Pareto distribution	x_m, α	x_m	${\tfrac {1}{\alpha }}$	${\tfrac {x_{m}}{\alpha }}$
Lomax distribution	λ, α	0	${\tfrac {1}{\alpha }}$	${\tfrac {\lambda }{\alpha }}$
q-exponential distribution	q, λ	0	${\tfrac {q-1}{2-q}}$	${\tfrac {1}{\lambda (2-q)}}$
Bounded Pareto distribution	L, H, α	L	?	?

This table is excellent. As for a reference, it will be a challenge to find. I created the q-exponential and lomax pages and did out the math for the mappings between distributions. I have not seen this published, but I think it counts as a Simple Derivation. Purple Post-its (talk) 16:21, 16 March 2012 (UTC)[reply]

Before inserting a table like this however, I think it is necessary to clarify from what reference the properties of the distribution on this page were taken in the first place. The original distribution suggested by Pickands only had two parameters, and at some later point the location parameter seems to have been added. The relationship to Pareto IV and/or to Feller-Pareto should also be clarified. Since I don't have access to all the references cited, I don't know how to sort these things out. Isheden (talk) 16:42, 16 March 2012 (UTC)[reply]

CDF

The CDF investigated by Hosking and Wallis (1987) and others is given in Continuous Univariate Distributions Volume I, p. 614, equation (20.153) as

F_{X}(x;c,k)=1-(1-cx/k)^{1/c}.

On the same page (not entirely clear) that this formulation was originally due to Pickands (1975). Special cases c=0 and c=1 correspond to exponential and uniform distributions, respectively. Negative values of c correspond to Pareto distributions. The pdf is given on page 615 as

p_{X}(x)=k^{-1}(1-cx/k)^{c^{-1}-1},\qquad (c\neq 0),

p_{X}(x)=k^{-1}\exp(-x/k),\qquad (c=0).

The support is x>0 for c ≤ 0 an 0 < x < k/c for c > 0. Mathstat (talk) 18:18, 17 March 2012 (UTC)[reply]

So it seems almost all of the references refer to a distribution with two parameters. The question is where the location parameter

μ

in the article comes from? Isheden (talk) 20:38, 17 March 2012 (UTC)[reply]

Yes, exactly. The article begins "The location-scale family of generalized Pareto distributions (GPD) has three parameters

\mu ,\sigma \,

and

\xi \,

" [1][2][3] (three references given). Having Pickands (1975) and Hosking and Wallis (1987) PDF's at hand, it is clear that neither of them define a distribution with three parameters. Citing these references to support the first statement is incorrect. Mathstat (talk) 22:28, 17 March 2012 (UTC)[reply]

I found a reference that defines the standard GPD with only the shape parameter

\xi

. It mentions that we can introduce a location-scale family GPD by replacing x by

{\tfrac {x-\mu }{\sigma }}

. I inserted this reference to support the cdf in the article. Isheden (talk) 22:37, 17 March 2012 (UTC)[reply]

This does not seem to follow the majority of the literature. The article should be expanded to indicate what are the definitions that have been used the most in the literature of the past 30 years or so, and just for clarity for anyone who is trying to use the article as a reference. More than likely they are looking for the definitions we easily found earlier. This is one good example for my students why one should always check references and facts. Mathstat (talk) 22:47, 17 March 2012 (UTC)[reply]

Agreed. Isheden (talk) 08:00, 18 March 2012 (UTC)[reply]

Really minor quibble z-x

Could somebody who has proper references (or a strong opinion) make the symbol for the independent variable either x or z? Rrogers314 (talk) 15:40, 23 September 2013 (UTC)[reply]

Which one would you prefer? The variable substitution is

z={\frac {x-\mu }{\sigma }}

, so with z the parameters μ and σ are not contained explicitly in the formulas. Isheden (talk) 18:25, 23 September 2013 (UTC)[reply]

Plot issue

All the PDFs that appear in the plot are bigger than $0.2$ on the whole interval $[0,5]$ , thus their integral is for sure bigger than 1. Probably it is simply a scaling problem in the plot, but since I am not familiar with the subject I don't know how should be fixed. 93.38.67.149 (talk) 10:21, 2 August 2017 (UTC)[reply]

Negative values of shape parameter not included in plots

Once the shape parameter ξ turns negative, you get qualitatively different behaviour of the distribution. Most notable, its support becomes bounded, but there is also a transition in the slope of the tail at $\xi =-1/2$ . Since this is a central feature of the distribution, it would be nice to show it also in the plots, rather than only having a range of positive ξ where the qualitative behaviour is essentially the same.

Error in the righthand column

The exponent of the PDF in the righthand column is WRONG. The exponent that appears there is: -1/(1+xi). What SHOULD appear there is: -(1+xi)/xi.

By the way, the correct exponent appears in the body of the entry. The error is only in the righthand column. It would be great if somebody could fix this. — Preceding unsigned comment added by Ybenhaim (talk • contribs) 14:51, 4 October 2020 (UTC)[reply]

Applications

The current article is quite abstract. Shouldn't there be more information about applications, to let readers know why anyone cares about this distribution? —DIV (1.129.106.200 (talk) 02:21, 2 April 2021 (UTC))[reply]

Equation formatting

All distribution names are functions, and therefore should be set roman (not italic): that is, write "exGPD(...)", not "exGPD(...)", and so on.

All variables or parameters should be set italic without exception (including Greek letters in lowercase and uppercase): write "Λ", not "Λ", and so on.

—DIV (1.129.106.200 (talk) 02:32, 2 April 2021 (UTC))[reply]