期刊
COMPUTERS & GEOSCIENCES
卷 34, 期 12, 页码 1900-1909出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.cageo.2008.04.004
关键词
Efficiency; Monte Carlo simulation; Maximum likelihood estimators; Moment estimators; Generalized spacing estimators; Modified maximum likelihood estimators; Tiku's modified maximum likelihood estimators; Least-squares estimators; Weighted least-squares estimators; Percentile estimators
Nine parametric estimators of the location and scale parameters of a two-parameter Weibull distribution are compared in terms of their bias and efficiency in a simulation study. The estimators considered are the maximum likelihood estimators (MLE), moment estimators (ME), generalized spacing estimators (GSE), modified maximum likelihood estimators I (MMLE-I), modified maximum likelihood estimators II (MMLE-II), Tiku's modified maximum likelihood estimators (TMMLE), least-squares estimators (LSE), weighted least-squares estimators (WLSE) and percentile estimators (PCE). The aim of the comparisons is to identify the most efficient estimators among these nine estimators for different shape parameters and sample sizes. (c) 2008 Elsevier Ltd. All rights reserved.
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