Parameter Estimation in Engineering and ScienceWiley, 1977 - 501 pages Introduction to and survey of parameter estimation; Probability; Introduction to statistics; Parameter estimation methods; Introduction to linear estimation; Matrix analysis for linear parameter estimation; Minimization of sum of squares functions for models nonlinear in parameters; Design of optimal experiments. |
Table des matières
Introduction to and Survey of Parameter Estimation | 1 |
Design of Optimal Experiments | 8 |
3 | 20 |
Droits d'auteur | |
21 autres sections non affichées
Autres éditions - Tout afficher
Parameter Estimation in Engineering and Science James Vere Beck,Kenneth J. Arnold Aperçu limité - 1977 |
Parameter Estimation in Engineering and Science James Vere Beck,Kenneth J. Arnold Affichage d'extraits - 1977 |
Parameter Estimation in Engineering and Science James Vere Beck,Kenneth J. Arnold Affichage d'extraits - 1977 |
Expressions et termes fréquents
analysis approximate assumed autoregressive b₁ B₂ Bayes's theorem calculated confidence interval confidence region considered continuous random variable correlated covariance matrix degrees of freedom dependent variable derivative designated diagonal differential equation distribution function equal to zero estimate of ẞ example expected value experiment Gauss method given in Table H₂ heat Hence independent observations inverse iteration known large number MAP estimation maximized maximum likelihood estimation measurement errors median ML estimation n₁ nonlinear normal distribution obtained optimal ordinary least squares parameter estimation parameter vector prior distribution prior information probability density function procedure regression residuals sample space Section sensitivity coefficients sensors sequential Solution ẞ₁ ẞ₂ standard assumptions standard deviation statistic sum of squares symmetric temperature theorem tion unbiased estimator X₁ Y₁ zero mean Σ Σ