Results 311 to 320 of about 286,227 (342)
Some of the next articles are maybe not open access.
2004
This paper analyses the uncertainty in the estimation of shape from motion and stereo. It is shown that there are computational limitations of a statistical nature that previously have not been recognized. Because there is noise in all the input parameters, we cannot avoid bias.
Hui Ji, Cornelia Fermüller
openaire +2 more sources
This paper analyses the uncertainty in the estimation of shape from motion and stereo. It is shown that there are computational limitations of a statistical nature that previously have not been recognized. Because there is noise in all the input parameters, we cannot avoid bias.
Hui Ji, Cornelia Fermüller
openaire +2 more sources
Designs for Minimum Bias Estimation
Technometrics, 1988Minimum bias estimation was suggested as an alternative to least squares for polynomial tits by Karson. Manson, and Hader (1969). To use this alternative, a combination of least squares estimates of coefficients of the model order fitted, and of the additional model order whose bias is being guarded against, needs to be calculated.
Norman R. Draper, Elizabeth R. Sanders
openaire +2 more sources
Bias and Stability of Multiplier Estimates
The Review of Economics and Statistics, 1989A number of analytical contributions have given sufficient conditions under which Leontief multiplier estimates are biased. This paper uses empirical data and a Monte Carlo framework to evaluate the problem of bias and obtains the opposite conclusions. For practical purposes, it appears that linear multiplier estimates are unbiased.
openaire +2 more sources
'Bias reduction of maximum likelihood estimates'
Biometrika, 1993SUMMARY It is shown how, in regular parametric problems, the first-order term is removed from the asymptotic bias of maximum likelihood estimates by a suitable modification of the score function. In exponential families with canonical parameterization the effect is to penalize the likelihood by the Jeffreys invariant prior. In binomial logistic models,
openaire +2 more sources
Estimation of Bias in Proteome Research
2003This chapter focuses on statistical analysis of large-scale yeast two-hybrid (Y2H) experiments compared with the data on protein-protein interactions obtained by single Y2H experiments in traditional laboratory setups. Reports on protein-protein interactions from large-scale experiments differ qualitatively from results obtained in traditional setups ...
Hanspeter Herzel, Ralf Mrowka
openaire +2 more sources
Bias in the Estimation of Autocorrelations
Biometrika, 1954J. A. Pope, F. H. C. Marriott
openaire +2 more sources
Debiased inverse-variance weighted estimator in two-sample summary-data Mendelian randomization
Annals of Statistics, 2021Ting Ye, Jun Shao, Hyunseung Kang
exaly
A new adjusted Liu estimator for the Poisson regression model
Concurrency Computation Practice and Experience, 2021Muhammad Amin +2 more
exaly
Dawoud–Kibria Estimator for Beta Regression Model: Simulation and Application
Frontiers in Applied Mathematics and Statistics, 2022Mohamed R Abonazel +2 more
exaly
A New Two-Parameter Estimator for Beta Regression Model: Method, Simulation, and Application
Frontiers in Applied Mathematics and Statistics, 2022Mohamed R Abonazel +1 more
exaly