The Experts below are selected from a list of 294 Experts worldwide ranked by ideXlab platform
Venugopal V. Veeravalli - One of the best experts on this subject based on the ideXlab platform.
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ITW - On thresholds for robust Goodness-of-Fit tests
2010 IEEE Information Theory Workshop, 2010Co-Authors: Jayakrishnan Unnikrishnan, Sean P. Meyn, Venugopal V. VeeravalliAbstract:Goodness-of-Fit tests are statistical procedures used to test the hypothesis H 0 that a set of observations were drawn according to some given probability distribution. Decision thresholds used in Goodness-of-Fit tests are typically set for guaranteeing a target false-alarm probability. In many popular testing procedures results on the weak convergence of the test statistics are used for setting approximate thresholds when exact computation is infeasible. In this work, we study robust procedures for Goodness-of-Fit where accurate models are not available for the distribution of the observations under hypothesis H 0 . We develop procedures for setting thresholds in two specific examples — a robust version of the Kolmogorov-Smirnov test for continuous alphabets and a robust version of the Hoeffding test for finite alphabets.
Nuri H. Salem Badi - One of the best experts on this subject based on the ideXlab platform.
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Asymptomatic Distribution of Goodness-of-Fit Tests in Logistic Regression Model
Open Journal of Statistics, 2017Co-Authors: Nuri H. Salem BadiAbstract:The logistic regression model has been become commonly used to study the association between a binary response variable; it is widespread application rests on its easy application and interpretation. The subject of assessment of Goodness-of-Fit in logistic regression model has attracted the attention of many scientists and researchers. Goodness-of-Fit tests are methods to determine the suitability of the Fitted model. Many of methods proposed and discussed for assessing Goodness-of Fit in logistic regression model, however, the asymptotic distribution of Goodness-of-Fit statistics are less examine, it is need more investigated. This work, will focus on assessing the behavior of asymptotic distribution of Goodness-of-Fit tests, also make comparison between global Goodness-of-Fit tests, and evaluate it by simulation.
Subhra Sankar Dhar - One of the best experts on this subject based on the ideXlab platform.
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Goodness of Fit in Nonparametric Regression Modelling
Journal of Statistical Theory and Practice, 2021Co-Authors: Shalabh, Subhra Sankar DharAbstract:When the nonparametric methodology is used for the model Fitting based on regression technique, then how to judge the Goodness of Fit of the model is an issue that is addressed in the paper. A Goodness of Fit statistic is proposed, and its statistical properties in terms of its asymptotic distribution are derived and studied.
Jayakrishnan Unnikrishnan - One of the best experts on this subject based on the ideXlab platform.
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ITW - On thresholds for robust Goodness-of-Fit tests
2010 IEEE Information Theory Workshop, 2010Co-Authors: Jayakrishnan Unnikrishnan, Sean P. Meyn, Venugopal V. VeeravalliAbstract:Goodness-of-Fit tests are statistical procedures used to test the hypothesis H 0 that a set of observations were drawn according to some given probability distribution. Decision thresholds used in Goodness-of-Fit tests are typically set for guaranteeing a target false-alarm probability. In many popular testing procedures results on the weak convergence of the test statistics are used for setting approximate thresholds when exact computation is infeasible. In this work, we study robust procedures for Goodness-of-Fit where accurate models are not available for the distribution of the observations under hypothesis H 0 . We develop procedures for setting thresholds in two specific examples — a robust version of the Kolmogorov-Smirnov test for continuous alphabets and a robust version of the Hoeffding test for finite alphabets.
Shalabh - One of the best experts on this subject based on the ideXlab platform.
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Goodness of Fit in Nonparametric Regression Modelling
Journal of Statistical Theory and Practice, 2021Co-Authors: Shalabh, Subhra Sankar DharAbstract:When the nonparametric methodology is used for the model Fitting based on regression technique, then how to judge the Goodness of Fit of the model is an issue that is addressed in the paper. A Goodness of Fit statistic is proposed, and its statistical properties in terms of its asymptotic distribution are derived and studied.
