Results 201 to 210 of about 643,809 (253)
Years of life lost in cutaneous squamous cell carcinoma: analysis of a prospective cohort of 1400 patients. [PDF]
J Cancer Res Clin OncolDietz K, Eigentler TK, Breuninger H.
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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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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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Improvement of Interval Weight Estimation in Interval AHP
2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS), 2016Interval AHP was proposed to estimate interval weights from the viewpoint that the vagueness of human judgement causes the inconsistency of a pairwise comparison matrix. Recently, the quality of the original estimation method of interval weights is discussed. The β-relaxation of minimum widths is proposed for a better estimation.
Shigeaki Innan, Masahiro Inuiguchi
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Optimal interval estimation fusion based on sensor interval estimates and confidence degrees
SPIE Proceedings, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yunmin Zhu, Baohua Li
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Ratio-Estimations of Loudness-Intervals
The American Journal of Psychology, 1967Two 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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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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