Results 241 to 250 of about 540,179 (287)

Sequential Factorial Estimation

Technometrics, 1964
Through the use of a “predictor-corrector” equation an experimenter may quickly determine the least squares estimates of all the coefficients in a polynomial model after the conclusion of each run, given that an initial set of orthogonal estimates of the coefficients is available.
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Sequential M-estimation

2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004
We propose a sequential M-estimation algorithm as an alternative to sequential least squares. Being an approximation of the exact M-estimator, the proposed technique is robust to nonGaussian processes and outperforms sequential least squares. Simulation results demonstrate the power of the proposed sequential M-estimator.
D.S. Pham, Y.H. Leung, A. Zoubir, R. Brcic   +3 more
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Sequential Estimation of Vaccine Effectiveness

Biometrics, 1962
Estimation of effectiveness of a vaccine may be complicated by the presence of naturally immune individuals in the population. Similarly, estimates of toxicity may be complicated by natural mortality occurring among the test subjects. Sequential procedures which yield minimum variance unbiased estimates of vaccine effectiveness (or, alternatively, of ...
Atkinson, G. F., Robson, D. S.
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Sequential Estimation in Line Transect Surveys

Biometrics, 2002
This article considers using sequential procedures to determine the amount of survey effort required in a line transect survey in order to achieve a certain precision level in estimating the abundance of a biological population. Sequential procedures are constructed for both parametric and nonparametric animal abundance estimators.
Yip, PSF, Zhou, Y, Chen, SX
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Sequential Estimation through Estimating Equations

1994
Using the approach to estimation through estimating equations, the information inequalities for regular sequential estimating plans are given and an optimum property of regular maximum likelihood sequential plans is shown in a general model for stochastic processes. The optimum sequential estimating functions are obtained in the nuisance parameter case
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Sequential Estimation

Journal of the American Statistical Association, 1998
Linda J. Young, Jerry H. Young
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Sequential Estimation of Log(Abundance)

Biometrics, 1996
Summary: I discuss the estimation of the abundance of a biological population, its logarithm, and the variances of these estimates, from a sequential sampling scheme with minimum and maximum sample sizes. Observations are counts of organisms in randomly chosen ``packets'' such as cores, branches, bushes, and so forth.
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On Sequential Estimation

Theory of Probability & Its Applications, 1975
Ibragimov, I. A., Has'minskii, R. Z.
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Large-sample theory of sequential estimation

Biometrika, 1949
In a previous large-sample treatment of sequential estimation (1), it was shown that in certain circumstances, when there was only one unknown parameter in the distribution of the observations, an estimation formula valid for fixed sample sizes remained valid when the sample size was determined by a sequential stopping rule. The proof was heuristic, in
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