. "0094-9655" . "RIV/00216305:26220/14:PU109033!RIV15-MSM-26220___" . "I, S" . . . "Left-censored data with one or more detection limits often arise in environmental contexts. The computational procedure for calculation of maximum likelihood estimators of the parameter for Type I multiply left-censored data from underlying exponential distribution is suggested and used considering various numbers of detection limits. The expected Fisher information measure (FIM) is analytically determined and its performance is compared with sample (observed) FIM using simulations. Simulations are focused primarily on the properties of estimators for small sample sizes. Moreover, the simulations follow the possible applications of the results in the statistical analysis of real chemical data."@en . "10.1080/00949655.2014.923886" . . "multiply left-censored sample, maximum likelihood estimator, exponential distribution, Fisher information measure, Type I censoring"@en . "JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION" . . . "16"^^ . "Statistical analysis of type I multiply left-censored samples from exponential distribution" . . "[E78A4522EA31]" . . "2"^^ . . "26220" . "Statistical analysis of type I multiply left-censored samples from exponential distribution"@en . . "GB - Spojen\u00E9 kr\u00E1lovstv\u00ED Velk\u00E9 Brit\u00E1nie a Severn\u00EDho Irska" . . "1"^^ . "Statistical analysis of type I multiply left-censored samples from exponential distribution" . "RIV/00216305:26220/14:PU109033" . "11" . "47322" . "Fusek, Michal" . "Statistical analysis of type I multiply left-censored samples from exponential distribution"@en . . . . "Mich\u00E1lek, Jaroslav" . . "Left-censored data with one or more detection limits often arise in environmental contexts. The computational procedure for calculation of maximum likelihood estimators of the parameter for Type I multiply left-censored data from underlying exponential distribution is suggested and used considering various numbers of detection limits. The expected Fisher information measure (FIM) is analytically determined and its performance is compared with sample (observed) FIM using simulations. Simulations are focused primarily on the properties of estimators for small sample sizes. Moreover, the simulations follow the possible applications of the results in the statistical analysis of real chemical data." . . "85" . .