Comparing Estimation Methods for the FPLD
We use the quantile function to define statistical models. In particular, we present a five-parameter version of the generalized lambda distribution (FPLD). Three alternative methods for estimating its parameters are proposed and their properties are investigated and compared by making use of real a...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2010-01-01
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| Series: | Journal of Probability and Statistics |
| Online Access: | http://dx.doi.org/10.1155/2010/295042 |
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| Summary: | We use the quantile function to define statistical models. In
particular, we present a five-parameter version of the generalized lambda distribution
(FPLD). Three alternative methods for estimating its parameters
are proposed and their properties are investigated and compared by making
use of real and simulated datasets. It will be shown that the proposed model
realistically approximates a number of families of probability distributions,
has feasible methods for its parameter estimation, and offers an easier way
to generate random numbers. |
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| ISSN: | 1687-952X 1687-9538 |