Results 21 to 30 of about 375,535 (333)
Goodness-of-fit tests for weibull populations on the basis of records [PDF]
Journal of Statistical Theory and Applications (JSTA), 2015 Record is used to reduce the time and cost of running experiments (Doostparast and Balakrishnan, 2010). It is important to check the adequacy of models upon which inferences or actions are based (Lawless, 2003, Chapter 10, p. 465).
Mahdi Doostparast
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Goodness of fit tests for Rayleigh distribution based on Phi-divergence
Revista Colombiana de Estadística, 2017 In this paper, we develop some goodness of fit tests for Rayleigh distribution based on Phi-divergence. Using Monte Carlo simulation, we compare the power of the proposed tests with some traditional goodness of fit tests including Kolmogorov-Smirnov ...
Mahdi Mahdizadeh , Ehsan Zamanzade
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Goodness-of-Fit Tests for Copulas of Multivariate Time Series
Econometrics, 2017 In this paper, we study the asymptotic behavior of the sequential empirical process and the sequential empirical copula process, both constructed from residuals of multivariate stochastic volatility models. Applications for the detection of structural
Bruno Rémillard
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Testing multivariate uniformity based on random geometric graphs [PDF]
, 2020 We present new families of goodness-of-fit tests of uniformity on a full-dimensional set $W\subset\R^d$ based on statistics related to edge lengths of random geometric graphs.
Ebner, Bruno +2 more
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Multinomial Goodness-Of-Fit Tests
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1984 SUMMARY This article investigates the family {I λ;λ ϵ ℝ} of power divergence statistics for testing the fit of observed frequencies {Xi; i = 1, …, k} to expected frequencies {Ei; i = 1, …, k}. From the definition 2nIλ=2λ(λ+1)∑i=1kXi{(XiEi)λ−1};λ∈ℝ it can easily be seen that Pearson's X 2 (λ = 1), the log likelihood ratio
Cressie, Noel A, Read, Timothy
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Multivariate goodness-of-fit tests based on kernel density estimators
Nonlinear Analysis, 2015 The paper is devoted to multivariate goodness-of-fit ests based on kernel density estimators. Both simple and composite null hypotheses are investigated.
Aleksej Bakshaev, Rimantas Rudzkis
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Characterizations and Goodness of Fit Tests
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1982 Summary In this article a systematic approach to providing goodness of fit tests is discussed, for the composite goodness of fit problem of testing that the distribution F of a random sample comes from a parametric family F o. Characterization procedures are emphasized, and it is shown that, at least for the exponential case, invariant ...
O'Reilly, Federico J. +1 more
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How to use χ2 test correctly—— the goodness of fit tests and the implementation of the SAS software
Sichuan jingshen weisheng, 2021 The purpose of this article was to introduce the goodness of fit test and its SAS implementation. The main contents included the following four aspects： ① Pearson΄s goodness of fit test； ② deviance or likelihood ratio goodness of fit test； ③ Hosmer ...
Hu Chunyan, Hu Liangping
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Adaptive goodness-of-fit tests based on signed ranks [PDF]
, 2008 Within the nonparametric regression model with unknown regression function $l$ and independent, symmetric errors, a new multiscale signed rank statistic is introduced and a conditional multiple test of the simple hypothesis $l=0$ against a nonparametric ...
Rohde, Angelika
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Dry months in the agricultural region of Ribeirão Preto, state of São Paulo-Brazil: an study based on the extreme value theory [PDF]
Engenharia Agrícola, 2014 The application of the Extreme Value Theory (EVT) to model the probability of occurrence of extreme low Standardized Precipitation Index (SPI) values leads to an increase of the knowledge related to the occurrence of extreme dry months.
Gabriel C. Blain
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