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Higher Order Properties of Bootstrap and Jackknife Bias Corrected Maximum Likelihood Estimators
Bootstrap and Jackknife Bias Likelihood Estimators
2015/9/22
Pfanzagl and Wefelmeyer (1978) show that bias corrected ML estimators are higher order efficient.
Their procedure however is computationally complicated because it requires integrating complicat...
Asymptotic properties of maximum likelihood estimators in models with multiple change points
change-point fraction common parameter consistency convergence rate Kullback–Leibler distance within-segment parameter
2011/3/24
Models with multiple change points are used in many fields; however, the theoretical properties of maximum likelihood estimators of such models have received relatively little attention. The goal of t...
Skewness of maximum likelihood estimators in dispersion models
dispersion models nonlinear models skewness maximum likelihood
2010/3/9
We introduce the dispersion models with a regression structure to extend the
generalized linear models, the exponential family nonlinear models (Cordeiro and
Paula, 1989) and the proper dispersion m...
Large deviation approximations for maximum likelihood estimators
Large deviation approximations maximum likelihood estimators
2009/9/24
Large deviation approximations for maximum likelihood estimators。
Bias Corrected Maximum Likelihood Estimators in Nonlinear Overdispersed Models
Maximum Likelihood Estimators Nonlinear Overdispersed Models
2009/9/17
Bias Corrected Maximum Likelihood Estimators in Nonlinear Overdispersed Models。
Improved maximum likelihood estimators in a heteroskedastic errors-in-variables model
Bias correction errors-in-variables model maximum likelihoodestimation heteroskedastic model
2010/3/18
This paper develops a bias correction scheme for a multivariate heteroskedastic
errors-in-variables model. The applicability of this model is justified in
areas such as astrophysics, epidemiology an...