Linear estimation in regression analysis using fuzzy prior information

Bernhard F. ARNOLD; Peter STAHLECKER

doi:10.1515/rose.1997.5.2.105

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Linear estimation in regression analysis using fuzzy prior information

Published/Copyright: October 19, 2009

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Random Operators and Stochastic Equations

From the journal Volume 5 Issue 2

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APA
Harvard
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Vancouver

ARNOLD, Bernhard F. and STAHLECKER, Peter. "Linear estimation in regression analysis using fuzzy prior information" Random Operators and Stochastic Equations, vol. 5, no. 2, 1997, pp. 105-116. https://doi.org/10.1515/rose.1997.5.2.105

ARNOLD, B. & STAHLECKER, P. (1997). Linear estimation in regression analysis using fuzzy prior information. Random Operators and Stochastic Equations, 5(2), 105-116. https://doi.org/10.1515/rose.1997.5.2.105

ARNOLD, B. and STAHLECKER, P. (1997) Linear estimation in regression analysis using fuzzy prior information. Random Operators and Stochastic Equations, Vol. 5 (Issue 2), pp. 105-116. https://doi.org/10.1515/rose.1997.5.2.105

ARNOLD, Bernhard F. and STAHLECKER, Peter. "Linear estimation in regression analysis using fuzzy prior information" Random Operators and Stochastic Equations 5, no. 2 (1997): 105-116. https://doi.org/10.1515/rose.1997.5.2.105

ARNOLD B, STAHLECKER P. Linear estimation in regression analysis using fuzzy prior information. Random Operators and Stochastic Equations. 1997;5(2): 105-116. https://doi.org/10.1515/rose.1997.5.2.105

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Published Online: 2009-10-19

Published in Print: 1997

Walter de Gruyter

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https://doi.org/10.1515/rose.1997.5.2.105

Articles in the same Issue

Linear estimation in regression analysis using fuzzy prior information
A Quantum extension of transient Bessel processes
Homogenization of periodic one-dimensional flows and bifurcations
On smoothed density of states for Wigner random matrices
Multivalued backward stochastic differential equations with local Lipschitz drift
Strong Circular Law
The exact Bohr-Sommerfeld quantization rule