Results 221 to 230 of about 71,732 (244)

Experiment design for ratio estimates

2006 American Control Conference, 2006
The problem of input design is considered for the following case: it is desired to identify a multi-input multi-output system such that particular ratios of model parameters are estimated well. In addition, the experiment must satisfy constraints on ratios of system outputs. A method is developed to determine an appropriate input sequence that involves
Renee M. Spinhirne, Tyrone L. Vincent
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Inverse Gaussian Ratio Estimation

Applied Statistics, 1986
A ratio estimation model based on the inverse Gaussian distribution is presented, together with a complete and exact system of inference procedures. The system is an analogue of that for the normal model, involving inferences based on \(\chi^ 2\) and F distributions. A case illustration and a discussion of some practical issues are included.
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Approaches for estimating prevalence ratios

Occupational and Environmental Medicine, 2008
Recently there has been much interest in estimating the prevalence (risk, proportion or probability) ratio instead of the odds ratio, especially in occupational health studies involving common outcomes (for example, with prevalence rates above 10%). For example, if 80 out of 100 exposed subjects have a particular disease and 50 out of 100 non-exposed ...
J A, Deddens, M R, Petersen
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On the estimation of cost-effectiveness ratios

Health Policy, 1995
In a recent paper Birch and Gafni criticised the use of cost-effectiveness ratios in decisions about the allocation of health care resources. To support their claim that the use of cost-effectiveness ratios will not lead to the maximization of health effects for a given budget they used an example.
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A ratio estimator in path sampling

Communications in Statistics - Simulation and Computation, 2019
AbstractIn this paper, a ratio estimator is proposed for path sampling, which is a cost-effective sampling design for spatial population where population paths are created and sampled.
Mena Patummasut, Sudarat Nidsunkid
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On multivariate ratio and product estimators

Biometrika, 1969
SUMMARY Olkin (1958) proposed a multivariate generalization of the ratio estimator and Singh (1967) proposed a multivariate generalization of the product estimator of Murthy (1964). This note considers an alternative multivariate generalization of the ratio estimator for an arbitrary sampling design and shows that, to a first order of approximation, it
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Ratio-Estimations of Loudness-Intervals

The American Journal of Psychology, 1967
Two loudness-scales have been published: (a) the sone scale,1 and (b) the lambda scale.2 These two scales, based on different scaling procedures, are quite divers. The sone scale, based on direct estimates of the apparent ratios of loudnesses, is a power function of sound-intensity with an exponent of 0.3.
J, Beck, W A, Shaw
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A Theory of Ratio Magnitude Estimation

Journal of Mathematical Psychology, 1996
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Estimating the variance of raking‐ratio estimators

Canadian Journal of Statistics, 1988
AbstractThis paper is concerned with the asymptotic properties of the converged solution of the raking‐ratio estimator. After a description of the raking‐ratio estimation procedure, we show that the estimator can be unbiased in the presence of nonresponse if the nonresponse has a particular structure.
D. A. Binder, A. Théberge
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Warped density ratio estimation

Neural Networks
Estimating the ratio p/q between two probability density functions is a fundamental problem in machine learning. By training classifiers to distinguish between samples from p and q, the class-posterior probabilities can be used to estimate density ratios.
Zi-En Fan, Feng Lian, Xin-Ran Li
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