Results 61 to 70 of about 347,353 (142)
Frequentist tests for Bayesian models
Analogues of the frequentist chi-square and F tests are proposed for testing goodness-of-fit and consistency for Bayesian models. Simple examples exhibit these tests' detection of inconsistency between consecutive experiments with identical parameters ...
Lucy, L. B.
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Testing in Nonparametric Accelerated Life Time Models
A goodness-of-fit test for testing the acceleration function in a nonparametric life time model is proposed. For this aim the limit distribution of an L2-type test statistic is derived.
Hannelore Liero
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Projection-based nonparametric goodness-of-fit testing with functional covariates
This paper studies the problem of nonparametric testing for the effect of a random functional covariate on a real-valued error term. The covariate takes values in $L^2[0,1]$, the Hilbert space of the square-integrable real-valued functions on the unit ...
Patilea, Valentin +2 more
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Robust correlation coefficient goodness-of-fit test for the Gumbel distribution
Background & Aim: A single outlier can even have a large disturbing effect on a classical statistical method that is optimal under the classical assumptions.
Abbas Mahdavi
doaj
This study investigates the impact of design decisions on the outcomes of chi-squared tests when applied to Poisson distributions, using the practical example of arrivals in a parking garage. Through a combination of experiments and simulations, we found
Thomas Müller, Dirk Schweim
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Extreme rainfall events pose significant challenges for flood risk management and infrastructure planning, necessitating robust statistical tools for accurate risk assessment.
Farabe Khan Alif, Norhaslinda Ali
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Establishing a relationship between repetitions left in reserve and the mean absolute velocity (RIR‐velocity relationship) during resistance training (RT) could allow for objective monitoring, prescription, and real‐time adjustment of the training load ...
Ivan Jukic +3 more
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On Goodness-of-fit Testing for Ergodic Diffusion Process with Shift Parameter
A problem of goodness-of-fit test for ergodic diffusion processes is presented. In the null hypothesis the drift of the diffusion is supposed to be in a parametric form with unknown shift parameter.
Negri, Ilia, Zhou, Li
core
As a driving force of the fourth industrial revolution, deep neural networks are now widely used in various areas of science and technology. Despite the success of deep neural networks in making accurate predictions, their interpretability remains a ...
Xiaoxi Shen, Xiaoming Wang
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Software is used in diverse settings and depends on development and testing environments. Software development should improve the reliability, quality, cost, and stability of software, making the software testing period crucial.
Kwang Yoon Song, In Hong Chang
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