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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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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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Exact Estimates for a Rate Ratio

Epidemiology, 1996
The incidence rate ratio is a basic measure of association in epidemiology. We present a simple and efficient method for computing exact confidence limits for the common rate ratio in a series of 2 x 2 tables with person-time denominators. The method uses a polynomial multiplication (convolution) algorithm previously described for an odds ratio.
D O, Martin, H, Austin
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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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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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Estimation of the Transition/Transversion Ratio

Journal of Molecular Evolution, 1998
A simple method for estimating the transition/transversion ratio was developed. This method can be applied to not only two sequences but also more than two sequences. The statistical properties of the method and some other methods were examined by numerical computation and computer simulation.
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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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An Estimating Formula and the Ratio Method of Estimating

1939
This report is concerned with estimates that are somewhat different in nature from those that are made from sample data, by raising it to the universe, and the nature of such estimates has been indicated in the discussions on correlation and regression.
Harper, F. H., Feild, Violet M.
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