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Point Estimation in Multiplicative Models
Econometrica, 1976In a multiplicative model it is usual to assume that the logarithm of the disturbance variable is normally distributed with unknown variance a2 and with a mean which is either zero or - la2 according to the viewpoint taken of the object of the model. It is shown that, for each of several estimation criteria, the two assumptions lead to precisely the ...
Evans, I G, Shaban, S A
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Is “five-point” estimation better than “three-point” estimation?
Measurement, 2013Abstract Theoretical considerations are presented to show that, regarding [1] , for a sinusoidal signal, “five-point” estimation is a better estimation than “three-point” estimation.
Dragos N. Vizireanu, Radu O. Preda
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Estimation of Principal Points
Applied Statistics, 1993SUMMARY The k principal points of a p-variate random vector X are defined as those points E, . k which minimize the expected squared distance between X and the nearest of the tj. This paper reviews some of the theory of principal points and redefines them in terms of self-consistent points.
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2020
Estimation theory is a branch of statistics that deals with estimating interested parameters from random observations (or sampled data). An estimator (also called estimation rules), defining the corresponding rules of inference, can be classified into point and interval estimators.
Dayi Wang +3 more
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Estimation theory is a branch of statistics that deals with estimating interested parameters from random observations (or sampled data). An estimator (also called estimation rules), defining the corresponding rules of inference, can be classified into point and interval estimators.
Dayi Wang +3 more
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2023
Political scientists have used ideal point estimation primarily to operationalize spatial models of politics, which requires measuring the preferences of actors within a conceptual latent space. Ideal point estimation integrates theoretical ideas from spatial models in economics and political science with measurement theory from psychometrics ...
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Political scientists have used ideal point estimation primarily to operationalize spatial models of politics, which requires measuring the preferences of actors within a conceptual latent space. Ideal point estimation integrates theoretical ideas from spatial models in economics and political science with measurement theory from psychometrics ...
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2014
A point estimator gives a single value as an estimate of a parameter. For example, \(\overline{Y } = 10.54\) is a point estimate of the population mean μ.
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A point estimator gives a single value as an estimate of a parameter. For example, \(\overline{Y } = 10.54\) is a point estimate of the population mean μ.
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1980
We begin by revising some basic ideas. The probability density function of a random variable may contain one or more unknown parameters. One task of statistical analysis is to find ‘reasonable’ estimates of such parameters. This may sound coldly abstract since it springs from describing a mathematical model of a real situation.
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We begin by revising some basic ideas. The probability density function of a random variable may contain one or more unknown parameters. One task of statistical analysis is to find ‘reasonable’ estimates of such parameters. This may sound coldly abstract since it springs from describing a mathematical model of a real situation.
openaire +1 more source