Results 31 to 40 of about 347,353 (142)
Finite Sample Corrections for Parameters Estimation and Significance Testing
An increasingly important problem in the era of Big Data is fitting data to distributions. However, many stop at visually inspecting the fits or use the coefficient of determination as a measure of the goodness of fit.
Boon Kin Teh +6 more
doaj +1 more source
The process comparing the empirical cumulative distribution function of the sample with a parametric estimate of the cumulative distribution function is known as the empirical process with estimated parameters and has been extensively employed in the ...
Kojadinovic, Ivan, Yan, Jun
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Nonparametric estimation of the distribution of the autoregressive coefficient from panel random-coefficient AR(1) data [PDF]
We discuss nonparametric estimation of the distribution function $G(x)$ of the autoregressive coefficient $a \in (-1,1)$ from a panel of $N$ random-coefficient AR(1) data, each of length $n$, by the empirical distribution function of lag 1 sample ...
Leipus, Remigijus +3 more
core +5 more sources
Quantitative Evaluation of SRS Similarity for Aerospace Testing Applications
The similarity between a shock response spectrum (SRS) and a target shock specification is essential in evaluating the success of a qualification test of a space component. Qualification testing facilities often utilize shock response databases for rapid
Ibukun O. Adebolu +2 more
doaj +1 more source
We develop here several goodness-of-fit tests for testing the k-monotonicity of a discrete density, based on the empirical distribution of the observations.
Giguelay, Jade, Huet, Sylvie
core +1 more source
Statistical Analysis of Failure Time of the Molar Tooth Using Goodness-of-Fit Technique for Interval Censored Data [PDF]
Background: The failure time of permanent tooth is of the form of interval censored since the exact time of tooth decay is not available and it is only known that tooth decay occurs between two consecutive visits.
Reza Pakyari +2 more
doaj
Remember the Curse of Dimensionality: The Case of Goodness-of-Fit Testing in Arbitrary Dimension [PDF]
Despite a substantial literature on nonparametric two-sample goodness-of-fit testing in arbitrary dimensions spanning decades, there is no mention there of any curse of dimensionality. Only more recently Ramdas et al.
Arias-Castro, Ery +2 more
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New Goodness-of-Fit Tests for the Kumaraswamy Distribution
The two-parameter distribution known as the Kumaraswamy distribution is a very flexible alternative to the beta distribution with the same (0,1) support.
David E. Giles
doaj +1 more source
Goodness-of-fit testing and quadratic functional estimation from indirect observations
We consider the convolution model where i.i.d. random variables $X_i$ having unknown density $f$ are observed with additive i.i.d. noise, independent of the $X$'s. We assume that the density $f$ belongs to either a Sobolev class or a class of supersmooth
Butucea, Cristina
core +3 more sources
A Multi-Aspect Permutation Test for Goodness-of-Fit Problems
Parametric techniques commonly rely on specific distributional assumptions. It is therefore fundamental to preliminarily identify the eventual violations of such assumptions. Therefore, appropriate testing procedures are required for this purpose to deal
Rosa Arboretti +5 more
doaj +1 more source

