Results 221 to 230 of about 675,051 (266)

Estimating the Parameter of a Selected Population

Calcutta Statistical Association Bulletin, 1995
Suppose independent samples from k populations with unknown parameters are taken and one of the populations is selected based on tho data and a prespecified rule. The problem is to estimate the parameter of the selected population. The estimand, G, is a random quantity which depends on both the data and the unknown parameters. While standard estimation
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Optimal Parameter Selection of Parabolic Systems

Mathematics of Operations Research, 1980
An optimal parameter selection problem is posed based upon a distributed parameter system with the parameters to be determined appearing in the coefficients of the partial differential equation. For this problem, an analytic expression is derived for the gradient of the performance criterion as a function of the parameters.
D. W. Reid, Kok Lay Teo
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Parameters of selected levels in 35Cl

Nuclear Physics A, 1981
Parameters of selected levels in 35 Cl have been determined by means of several techniques, including proton elastic scattering studies, angular distribution measurements, calibration of the excitation energies by a cascade/crossover method and resonance absorption experiments. For the E = 1375, 1683 and 2791 keV resonances we found J π = 5 2 + , while
Biesiot, W., Smith, Ph. B., Stavast, J. L., Goldhoorn, P. B., van der Hoek, S.   +4 more
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Anthropometric parameters of tooth selection

The Journal of Prosthetic Dentistry, 1967
Abstract A study of many skulls was made to determine the ratios between the size of certain bony structures and the size of the anterior teeth. Several commonly used ratios were not verified, but relatively more consistency was found in others.
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On optimal parameter selection

IEEE Transactions on Automatic Control, 1973
Pontryagin's results on optimal parameter selection problems [1, p. 193] have been found to contain some errors, as reported in Boltyanskii [2, p. 263] and Hofer and Sagirow [4]. In this note, it is shown that Boltyanskii's results (on optimal parameters) are easily derived from Gamkrelidze's general maximum principle [3], which, in contrast to the ...
Ahmed, N. U., Georganas, N. D.
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Cell density as a selective parameter in Tetrahymena

Experimental Cell Research, 1973
Abstract Cells of various metabolic states of Tetrahymena pyriformis were separated by banding in linear density gradients of Ficoll. Whereas log phase cultures generated three distinct bands, stationary cultures produced only two, and starved cells demonstrated a unique, higher density.
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Selection of the Regularization Parameter

2016
The success of all currently available regularization techniques relies heavily on the proper choice of the regularization parameter. Although many regularization parameter selection methods (RPSMs) have been proposed, very few of them are used in engineering practice.
Mongi A. Abidi, Andrei V. Gribok, Joonki Paik   +2 more
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Parameter Dependence in Cumulative Selection

2014
Cumulative selection is a powerful process in which small changes accumulate over time because of their selective advantage. It is central to a gradualist approach to evolution, the validity of which has been called into question by proponents of alternative approaches to evolution.
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Selection and Composition of Personalization Parameters in Cloud

2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT), 2016
Integrating e-learning personalization systems in cloud computing environment is a relatively recent trend in technology enhanced learning. Cloud computing is a new model that allows users to access applications through Internet. It is characterized by several advantages such as reducing the cost of development, high availability of information ...
Sameh Ghallabi, Fathi Essalmi, Mohamed Jemni, Kinshuk   +3 more
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SVR-parameters selection for image watermarking

17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05), 2005
An image digital watermarking technique using support vector regression (SVR) is proposed and researched in this paper. Firstly, the method of embedding and extracting watermarking from digital image is given. Then, the influence of SVR-learning parameters on the watermarking performance is analyzed, and the ideal value range of SVR-learning parameters
Chun-hua Li, Zheng-Ding Lu, Ke Zhou 0001
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