Results 21 to 30 of about 272,931 (273)
Linear Association in Compositional Data Analysis
With compositional data ordinary covariation indexes, designed for real random variables, fail to describe dependence. There is a need for compositional alternatives to covariance and correlation.
Juan José Egozcue +2 more
doaj +1 more source
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
core +1 more source
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
doaj +1 more source
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
doaj +1 more source
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.
core +1 more source
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
doaj +1 more source
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
core +1 more source
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
doaj +1 more source
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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A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source

