Results 31 to 40 of about 176,715 (305)
A New Goodness of Fit Test for Multivariate Normality and Comparative Simulation Study
The testing of multivariate normality remains a significant scientific problem. Although it is being extensively researched, it is still unclear how to choose the best test based on the sample size, variance, covariance matrix and others.
Jurgita Arnastauskaitė +2 more
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An Online Test for Goodness-of-Fit in Logistic Regression Model
In past decades, the goodness-of-fit test has been widely used to evaluate the calibration of prediction models. The test helps to determine whether poor predictions (lack of fit) are significant, which would indicate that problems exist in the model ...
Yuke Qiu, Liu Liu, Xin Lai, Yuwen Qiu
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Goodness-of-fit tests for correlated data [PDF]
Biometrika, 62 (3)
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Entropy Estimation From Ranked Set Samples With Application to Test of Fit
This article deals with entropy estimation using ranked set sampling (RSS). Some estimators are developed based on the empirical distribution function and its nonparametric maximum likelihood competitor. The suggested entropy estimators have smaller root
Ehsan Zamanzade , Mahdi Mahdizadeh
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Dynamic Robust Spectrum Sensing Based on Goodness-of-Fit Test Using Bilateral Hypotheses
Dynamic spectrum detection has attracted increasing interest in drone or drone controller detection problems. Spectrum sensing as a promising solution allows us to provide a dynamic spectrum map within the target frequency band by estimating the occupied
Shaoyang Men, Pascal Chargé, Zhe Fu
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A Modified Anderson Darling Goodness of fit Test for the Generalized Rayleigh Distribution [PDF]
A Modified Anderson Darling Goodness of fit Test for the Generalized Rayleigh Distribution in the case where the parameters are estimated from the sample.
Amal M. Abd-Elfattah
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Calculation of single-event characteristics for voltage dip based on the goodness of fit test
The typical single-event characteristics of a voltage dip include residual voltage, duration, dip type, point-on-wave and phase-angle jump, which may influence the operation of the sensitive equipment under voltage dip.
Wei Hu +5 more
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Goodness-of-Fit test of real data.
Goodness-of-Fit test of real data.
Yupaporn Areepong (8452311) +2 more
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Fast kernel methods for data quality monitoring as a goodness-of-fit test
We propose an accurate and efficient machine learning approach for monitoring particle detectors in real-time. The goal is to assess the compatibility of incoming experimental data with a reference dataset, characterising the data behaviour under normal ...
Gaia Grosso +7 more
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SUMMARY An explicit account is given of a procedure for assessing goodness of fit of some observations with a hypothesis, generally known as a “test of significance”; the description is close in spirit to R. A. Fisher’s original conception. The relation of this test procedure with Bayesian procedures and with the Neyman–Pearson theory of
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