Results 21 to 30 of about 272,137 (196)
Evaluating probability forecasts
Probability forecasts of events are routinely used in climate predictions, in forecasting default probabilities on bank loans or in estimating the probability of a patient's positive response to treatment.
Gross, Shulamith T. +2 more
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Adaptive Regression on the Real Line in Classes of Smooth Functions
Adaptive pointwise estimation of an unknown regression function f(x), x ? R corrupted by additive Gaussian noise is considered in the equidistant design setting.
L.M. Artiles, B.Y. Levit
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Discussion of "Estimating the historical and future probabilities of large terrorist events" by Aaron Clauset and Ryan Woodard [arXiv:1209.0089].Comment: Published in at http://dx.doi.org/10.1214/13-AOAS614B the Annals of Applied Statistics (http://www.
Porter, Michael D., Reich, Brian J.
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Process Capability Indices as Fuzzy Numbers
Most of the traditional methods for assessing the capability of manufacturing processes are dealing with crisp quality. In this paper we discuss the fuzzy quality and introduce fuzzy process capability indices, where instead of precise quality we have ...
Abbas Parchami +3 more
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A stochastic space-time model for intermittent precipitation occurrences [PDF]
Modeling a precipitation field is challenging due to its intermittent and highly scale-dependent nature. Motivated by the features of high-frequency precipitation data from a network of rain gauges, we propose a threshold space-time $t$ random field (tRF)
Stein, Michael L., Sun, Ying
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Teaching Statistics with Excel A Big Challenge for Students and Lecturers
This paper has a look on the implementation of basic statistical methods in Excel, in particular in describing data. Often a frequency distribution is the starting point for describing a dataset, but its calculation is not that easy in Excel.
Christine Duller
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Analytic crossing probabilities for certain barriers by Brownian motion
We calculate crossing probabilities and one-sided last exit time densities for a class of moving barriers on an interval $[0,T]$ via Schwartz distributions.
Kahale, Nabil
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Frailty models are important for survival data because they allow for the possibility of unobserved heterogeneity problem. The problem of heterogeneity can be existed due to a variety of factors, such as genetic predisposition, environmental factors, or ...
Hamami Loubna +9 more
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Measurement of Continuous Quantities and their Statistical Evaluation
Measurement results of continuous quantities are always more or less imprecise. This imprecision is different from errors. The most suitable mathematical model to describe imprecision is by special fuzzy subsets of the set of real numbers R, called ...
Reinhard Karl Viertl
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Relative errors for bootstrap approximations of the serial correlation coefficient
We consider the first serial correlation coefficient under an AR(1) model where errors are not assumed to be Gaussian. In this case it is necessary to consider bootstrap approximations for tests based on the statistic since the distribution of errors is ...
Field, Chris, Robinson, John
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