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SSRN Electronic Journal, 2010
This paper considers estimation of an unknown distribution parameter in situations where we believe that the parameter belongs to a finite interval. We propose for such situations an interval shrinkage approach which combines in a coherent way an unbiased conventional estimator and non-sample information about the range of plausible parameter values ...
Vasyl Golosnoy, Roman Liesenfeld
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This paper considers estimation of an unknown distribution parameter in situations where we believe that the parameter belongs to a finite interval. We propose for such situations an interval shrinkage approach which combines in a coherent way an unbiased conventional estimator and non-sample information about the range of plausible parameter values ...
Vasyl Golosnoy, Roman Liesenfeld
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2023
Abstract This chapter begins by pointing out that, while we don’t usually care much about model parameters that don’t have intrinsic scientific meaning, it is often important for us to quantify how much uncertainty we have about those that do. This leads to the more intricate inferential task of interval estimation.
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Abstract This chapter begins by pointing out that, while we don’t usually care much about model parameters that don’t have intrinsic scientific meaning, it is often important for us to quantify how much uncertainty we have about those that do. This leads to the more intricate inferential task of interval estimation.
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Estimation of Temporal Interval
Perceptual and Motor Skills, 1966In several studies on the estimation of temporal intervals investigators have used either white light or white noise to mark the stimulus times. The purpose of the present study was to probe into the effect of colored light, white light, and sound in the estimation of short intervals.
R G, Chatterjea, P, Rakshit
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2002
Abstract In Chapters 2 and 3 we discussed point estimation at some length. However, as was noted in Chapter 1, a point estimate on its own is of little use—some measure of its precision is also necessary. This leads naturally to the idea of interval estimation, which is of great practical importance. Nevertheless, we devote less space in
Paul Garthwaite +2 more
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Abstract In Chapters 2 and 3 we discussed point estimation at some length. However, as was noted in Chapter 1, a point estimate on its own is of little use—some measure of its precision is also necessary. This leads naturally to the idea of interval estimation, which is of great practical importance. Nevertheless, we devote less space in
Paul Garthwaite +2 more
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Nonparametric Bayesian Interval Estimation
Biometrika, 1979SUMMARY Bayesian confidence bands for a distribution function are converted into confidence intervals for specified population quantiles and also for the mean. Bayesian tolerance limits are similarly constructed.
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Estimating duration intervals [PDF]
, 2003 Duration intervals measure the dynamic impact of advertising on sales. More precise, the p per cent duration interval measures the time lag between the advertising impulse and the moment that p per cent of its effect has decayed. In this paper, we derive an expression for the duration interval for a general dynamic model linking sales to advertising ...
Franses, Ph.H.B.F., Vroomen, B.L.K.
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Social determinants of health and US cancer screening interventions: A systematic review
Ca-A Cancer Journal for Clinicians, 2023Ariella R Korn
exaly