Analysis of Hybrid Censored Data from the Log-Normal Distribution
Year
: 2010
Abstract: The mixture of Type-I and Type-II censoring schemes,
called the hybrid censoring. This article presents the statisti-
cal inferences on Log-Normal parameters when the data are
hybrid censored. We obtain the maximum likelihood estima-
tors (MLEs) and the approximate maximum likelihood esti-
mators (AMLEs) of the unknown parameters. Asymptotic
distributions of the maximum likelihood estimators are used
to construct approximate confidence intervals. Monte Carlo
simulations are performed to compare the performances of
the different methods and one data set is analyzed for illus-
trative purposes.
called the hybrid censoring. This article presents the statisti-
cal inferences on Log-Normal parameters when the data are
hybrid censored. We obtain the maximum likelihood estima-
tors (MLEs) and the approximate maximum likelihood esti-
mators (AMLEs) of the unknown parameters. Asymptotic
distributions of the maximum likelihood estimators are used
to construct approximate confidence intervals. Monte Carlo
simulations are performed to compare the performances of
the different methods and one data set is analyzed for illus-
trative purposes.
Keyword(s): Approximate Maximum Likelihood Estimate,Asymptotic
distribution,Hybrid censoring,Maximum Likelihood Estimate,Monte
Carlo simulation
Collections
:
-
Statistics
Analysis of Hybrid Censored Data from the Log-Normal Distribution
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| contributor author | آرزو حبیبی راد | en |
| contributor author | فاطمه یوسف زاده | en |
| contributor author | Arezou Habibirad | fa |
| date accessioned | 2020-06-06T14:34:10Z | |
| date available | 2020-06-06T14:34:10Z | |
| date issued | 2010 | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/3402244 | |
| description abstract | The mixture of Type-I and Type-II censoring schemes, called the hybrid censoring. This article presents the statisti- cal inferences on Log-Normal parameters when the data are hybrid censored. We obtain the maximum likelihood estima- tors (MLEs) and the approximate maximum likelihood esti- mators (AMLEs) of the unknown parameters. Asymptotic distributions of the maximum likelihood estimators are used to construct approximate confidence intervals. Monte Carlo simulations are performed to compare the performances of the different methods and one data set is analyzed for illus- trative purposes. | en |
| language | English | |
| title | Analysis of Hybrid Censored Data from the Log-Normal Distribution | en |
| type | Journal Paper | |
| contenttype | External Fulltext | |
| subject keywords | Approximate Maximum Likelihood Estimate | en |
| subject keywords | Asymptotic distribution | en |
| subject keywords | Hybrid censoring | en |
| subject keywords | Maximum Likelihood Estimate | en |
| subject keywords | Monte Carlo simulation | en |
| journal title | پژوهش های آماری ایران-Journal of Statistical Research of Iran | fa |
| pages | 37-46 | |
| journal volume | 7 | |
| journal issue | 1 | |
| identifier link | https://profdoc.um.ac.ir/paper-abstract-1019968.html | |
| identifier articleid | 1019968 |