Results 51 to 60 of about 369,455 (188)

Computationally Efficient Goodness-of-Fit Tests for the Error Distribution in Nonparametric Regression

open access: yesRevstat Statistical Journal, 2018
Several procedures have been proposed for testing goodness-of-fit to the error distribution in nonparametric regression models. The null distribution of the associated test statistics is usually approximated by means of a parametric bootstrap which ...
G.I. Rivas-Martínez   +1 more
doaj   +1 more source

Conditional limit laws for goodness-of-fit tests

open access: yes, 2012
We study the conditional distribution of goodness of fit statistics of the Cram\'{e}r--von Mises type given the complete sufficient statistics in testing for exponential family models.
Lockhart, Richard A.
core   +1 more source

Evaluation of survival extrapolation in immuno-oncology using multiple pre-planned data cuts: learnings to aid in model selection

open access: yesBMC Medical Research Methodology, 2020
Background Due to limited duration of follow up in clinical trials of cancer treatments, estimates of lifetime survival benefits are typically derived using statistical extrapolation methods.
Ash Bullement   +5 more
doaj   +1 more source

Testing k-monotonicity of a discrete distribution. Application to the estimation of the number of classes in a population

open access: yes, 2017
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

An Online Test for Goodness-of-Fit in Logistic Regression Model

open access: yesIEEE Access, 2019
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
doaj   +1 more source

An introduction to how chi-square and classical exact tests often wildly misreport significance and how the remedy lies in computers

open access: yes, 2012
Goodness-of-fit tests based on the Euclidean distance often outperform chi-square and other classical tests (including the standard exact tests) by at least an order of magnitude when the model being tested for goodness-of-fit is a discrete probability ...
Perkins, William   +2 more
core  

Residuals and goodness-of-fit tests for stationary marked Gibbs point processes [PDF]

open access: yes, 2010
The inspection of residuals is a fundamental step to investigate the quality of adjustment of a parametric model to data. For spatial point processes, the concept of residuals has been recently proposed by Baddeley et al.
Andersen   +33 more
core   +7 more sources

Goodness-of-fit tests in mixed models. [PDF]

open access: yes
Mixed models, with both random and fixed effects, are most often estimated on the assumption that the random effects are normally distributed. In this paper we propose several formal tests of the hypothesis that the random effects and/or errors are ...
Claeskens, Gerda, Hart, Jeffrey D.
core  

Degree-based goodness-of-fit tests for heterogeneous random graph models : independent and exchangeable cases [PDF]

open access: yes, 2019
The degrees are a classical and relevant way to study the topology of a network. They can be used to assess the goodness-of-fit for a given random graph model. In this paper we introduce goodness-of-fit tests for two classes of models. First, we consider
Billingsley P.   +9 more
core   +2 more sources

Semiparametric Estimates and Goodness-of-Fit Tests for Tire Wear and Failure Time Data

open access: yesNonlinear Analysis, 2002
The goodness-of-fit test for tire wear and failure time data with multiple failure modes is proposed. Parametric estimators of traumatic event cumulative intensities and semiparametric estimates of various reliability characteristics are given and their ...
Rūta Levulienė
doaj   +1 more source

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