Results 161 to 170 of about 28,068 (205)

Bayesian adaptive randomization in the I-SPY2 sequential multiple assignment randomized trial. [PDF]

Biometrics
Norwood P, Yau C, Wolf D, Beineke P, Chapple A, Tsiatis A, Davidian M.   +6 more
europepmc   +1 more source

Enhanced log ratio calibration methods for stratified variance estimation in survey sampling. [PDF]

Sci Rep
Zaka A, Alghamdi FM, Alsheikh SMA, Jabeen R, Minhas KS, Bano S, Afify AZ.   +6 more
europepmc   +1 more source

Interpretable Machine Learning-Based Concentric Regional Analysis of OCTA Images for Enhanced Diabetic Retinopathy Detection. [PDF]

Bioengineering (Basel)
Osman SM, Alksas A, Balaha HM, Mahmoud A, Gamal A, Abdel-Hady ME, Abdelsalam MM, Khalil AT, Sewelam A, El-Baz A.   +9 more
europepmc   +1 more source

Parametric estimation with a class of M-estimators

Mathematical Methods of Statistics, 2009
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Chebana, Fateh
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Nonlinear Estimation for a Class of Systems

2006 IEEE International Symposium on Information Theory, 2006
This paper considers nonlinear estimation problems for a class of models, and employs relative entropy to describe the uncertainty classes. Two problems are formulated and their solutions are sought. 1) When the transition probability between the signal to be estimated X and the measurement Y or stochastic kernel is unknown, and 2) when the joint ...
Charalambous, Charalambos D., Socratous, Y., Charalambous, Charalambos D., Socratous, Y.   +3 more
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Nonlinear Estimation for a Class of Systems

IEEE Transactions on Information Theory, 2009
This paper considers nonlinear estimation problems for classes of models, and employs relative entropy to describe the uncertainty classes. Two optimization problems are formulated on general Banach spaces, and their solutions are sought: 1) when the transition probability between the signal to be estimated X and the measurement Y or stochastic kernel ...
Socratous, Y., Rezaei, F., Charalambous, Charalambos D., Socratous, Y., Rezaei, F., Charalambous, Charalambos D.   +5 more
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Estimation of the Number of Classes in a Population

Biometrical Journal, 1988
AbstractThe problem of estimating M, the number of classes in a population, is formulated as an occupancy problem in which N items are drawn from M urns. Under the assumption of a uniform distribution for the number of classes in the population, the sufficient statistic for M, which is the number of distinct classes observed, does not depend upon the ...
Arnold, Barry C., Beaver, Robert J.
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A class of nonparametric mode estimators

Communications in Statistics - Simulation and Computation, 2020
A class of nonparametric mode estimators is proposed. While the widely applied half sample mode estimators use the diameter of a set as the “measure of concentration”, the proposed estimators use f...
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On a class of unsupervised estimation problems

IEEE Transactions on Information Theory, 1968
Summary: The unsupervised estimation problem has received considerable attention during the last three years. The problem usually considered, however, is only one of a class of unsupervised estimation problems. In this paper, a ``mixture approach'' defined previously is used to define this class of unsupervised estimation problems, and state precisely ...
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The Graph of a k-class Estimator

The Review of Economic Studies, 1974
Many studies of k-class estimators have investigated their distributional properties (see Kadane [4], pp. 723-724 for a useful summary). Here we are concerned with the mathematical analysis of the k-class formulae rather than with their statistical analysis. Other work in this field includes Theil [10], pp. 233-237, Maeshiro [7], Oi [8] and Kadiyala [5]
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