Estimating weibull parameters by linear and nonlinear regression

Roger W. Berger; Kenneth Lawrence

doi:10.1080/00401706.1974.10489245

Estimating weibull parameters by linear and nonlinear regression

Roger W. Berger, Kenneth Lawrence

Research output: Contribution to journal › Article › peer-review

15 Scopus citations

Abstract

A Monte Carlo simulation experiment was performed to compare the resulting mean square error of two different Weibull estimation methods. It was found that the MSE for both methods was quite high in relation to the Rao-Cramer lower bound. Some suggestions are offered for reducing the MSE of estimates.

Original language	English (US)
Pages (from-to)	617-619
Number of pages	3
Journal	Technometrics
Volume	16
Issue number	4
DOIs	https://doi.org/10.1080/00401706.1974.10489245
State	Published - Nov 1974
Externally published	Yes

All Science Journal Classification (ASJC) codes

Statistics and Probability
Modeling and Simulation
Applied Mathematics

Keywords

Non Linear Estimates
Non Linear Regression
Parameter Estimates
Rao-Cramer Lower Bounds
Weibull Distribution

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10.1080/00401706.1974.10489245

Cite this

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title = "Estimating weibull parameters by linear and nonlinear regression",

abstract = "A Monte Carlo simulation experiment was performed to compare the resulting mean square error of two different Weibull estimation methods. It was found that the MSE for both methods was quite high in relation to the Rao-Cramer lower bound. Some suggestions are offered for reducing the MSE of estimates.",

keywords = "Non Linear Estimates, Non Linear Regression, Parameter Estimates, Rao-Cramer Lower Bounds, Weibull Distribution",

author = "Berger, {Roger W.} and Kenneth Lawrence",

year = "1974",

month = nov,

doi = "10.1080/00401706.1974.10489245",

language = "English (US)",

volume = "16",

pages = "617--619",

journal = "Technometrics",

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number = "4",

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T1 - Estimating weibull parameters by linear and nonlinear regression

AU - Berger, Roger W.

AU - Lawrence, Kenneth

PY - 1974/11

Y1 - 1974/11

N2 - A Monte Carlo simulation experiment was performed to compare the resulting mean square error of two different Weibull estimation methods. It was found that the MSE for both methods was quite high in relation to the Rao-Cramer lower bound. Some suggestions are offered for reducing the MSE of estimates.

AB - A Monte Carlo simulation experiment was performed to compare the resulting mean square error of two different Weibull estimation methods. It was found that the MSE for both methods was quite high in relation to the Rao-Cramer lower bound. Some suggestions are offered for reducing the MSE of estimates.

KW - Non Linear Estimates

KW - Non Linear Regression

KW - Parameter Estimates

KW - Rao-Cramer Lower Bounds

KW - Weibull Distribution

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U2 - 10.1080/00401706.1974.10489245

DO - 10.1080/00401706.1974.10489245

M3 - Article

AN - SCOPUS:0016127356

SN - 0040-1706

VL - 16

SP - 617

EP - 619

JO - Technometrics

JF - Technometrics

IS - 4

ER -

Estimating weibull parameters by linear and nonlinear regression

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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