Julia Cains
2010-Apr-19 07:21 UTC
[R] Truncated Normal Distribution and Truncated Pareto distribution
Dear R helpers,
I have a bimodal dataset dealing with loss amounts. I have divided this dataset
into two with the bounds for the first dataset i.e. dataset-A being 5,000$ to
100,000$ and the dataset-B deals with the losses exceeding 100,000$ i.e.
dataset-B is left truncated.
I need to fit truncated normal disribution to dataset - I having lower bound of
5000 and upper bound of 100,000. While I need to fit truncated Pareto for the
lossess exceeding 100,000$.
Is there any package in R which will guide me to fit these two distrubitions
also giving KS (Kolmogorov Smirnov) test and Anderson Darling test results.
Please guide
Julia
************************************************
Only a man of Worth sees Worth in other men
************************************************
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yves croissant
2010-Apr-19 07:30 UTC
[R] Truncated Normal Distribution and Truncated Pareto distribution
The truncreg package fits the truncated normal model. Le lundi 19 avril 2010 ? 00:21 -0700, Julia Cains a ?crit :> Dear R helpers, > > I have a bimodal dataset dealing with loss amounts. I have divided this dataset into two with the bounds for the first dataset i.e. dataset-A being 5,000$ to 100,000$ and the dataset-B deals with the losses exceeding 100,000$ i.e. dataset-B is left truncated. > > I need to fit truncated normal disribution to dataset - I having lower bound of 5000 and upper bound of 100,000. While I need to fit truncated Pareto for the lossess exceeding 100,000$. > > Is there any package in R which will guide me to fit these two distrubitions also giving KS (Kolmogorov Smirnov) test and Anderson Darling test results. > > Please guide > > Julia > > > > ************************************************ > > > > Only a man of Worth sees Worth in other men > > > > ************************************************ > > > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. >
Rubén Roa
2010-Apr-19 07:37 UTC
[R] Truncated Normal Distribution and Truncated Pareto distribution
-----Mensaje original-----
De: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] En
nombre de Julia Cains
Enviado el: lunes, 19 de abril de 2010 9:22
Para: r-help at r-project.org
Asunto: [R] Truncated Normal Distribution and Truncated Pareto distribution
Dear R helpers,
I have a bimodal dataset dealing with loss amounts. I have divided this dataset
into two with the bounds for the first dataset i.e. dataset-A being 5,000$ to
100,000$ and the dataset-B deals with the losses exceeding 100,000$ i.e.
dataset-B is left truncated.
I need to fit truncated normal disribution to dataset - I having lower bound of
5000 and upper bound of 100,000. While I need to fit truncated Pareto for the
lossess exceeding 100,000$.
Is there any package in R which will guide me to fit these two distrubitions
also giving KS (Kolmogorov Smirnov) test and Anderson Darling test results.
Please guide
Julia
-----------
See
library(MASS)
?fitdistr
You can define your customized truncated density as a function in the parameter
densfun of fitdistr.
See also
http://www.mail-archive.com/r-help at stat.math.ethz.ch/msg34540.html
http://www.mail-archive.com/r-help at stat.math.ethz.ch/msg34548.html
HTH
____________________________________________________________________________________
Dr. Rub?n Roa-Ureta
AZTI - Tecnalia / Marine Research Unit
Txatxarramendi Ugartea z/g
48395 Sukarrieta (Bizkaia)
SPAIN
************************************************
Only a man of Worth sees Worth in other men
************************************************
[[alternative HTML version deleted]]
______________________________________________
R-help at r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.