Results 21 to 30 of about 166,031,618 (286)
A new goodness‐of‐fit measure for probit models: Surrogate R 2
British Journal of Mathematical & Statistical Psychology, 2022 Probit models are used extensively for inferential purposes in the social sciences as discrete data are prevalent in a vast body of social studies. Among many accompanying model inference problems, a critical question remains unsettled: how to develop a ...
Dungang Liu +3 more
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Higher-Order Least Squares: Assessing Partial Goodness of Fit of Linear Causal Models [PDF]
Journal of the American Statistical Association, 2021 We introduce a simple diagnostic test for assessing the overall or partial goodness of fit of a linear causal model with errors being independent of the covariates. In particular, we consider situations where hidden confounding is potentially present. We
C. Schultheiss, P. Bühlmann, Ming Yuan
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Efficient algorithm for testing goodness-of-fit for classification of high dimensional data
Lietuvos Matematikos Rinkinys, 2009 Let us have a sample satisfying d-dimensional Gaussian mixture model (d is supposed to be large). The problem of classification of the sample is considered. Because of large dimension it is natural to project the sample to k-dimensional (k = 1, 2, . . .)
Gintautas Jakimauskas
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Network Goodness-of-Fit for the Block-Model Family [PDF]
Journal of the American Statistical AssociationThe block-model family has four popular network models (SBM, DCBM, MMSBM, and DCMM). A fundamental problem is, how well each of these models fits with real networks.
Jiashun Jin +3 more
semanticscholar +1 more source
Pakistan Journal of Statistics and Operation Research, 2022 After studying the mathematical properties of the Double Burr XII model, we present Bayesian and non-Bayesian estimation for its unknown parameters. Also, we constructed a new statistical test for goodness-of-fit in case of complete and censored samples.
M. Ibrahim +3 more
semanticscholar +1 more source
Pearson's goodness-of-fit tests for sparse distributions [PDF]
Journal of Applied Statistics, 2021 Pearson's chi-squared test is widely used to test the goodness of fit between categorical data and a given discrete distribution function. When the number of sets of the categorical data, say k, is a fixed integer, Pearson's chi-squared test statistic ...
Shuhua Chang, Deli Li, Yong-Cheng Qi
semanticscholar +1 more source
Goodness–of–Fit Tests for Bivariate Time Series of Counts
Econometrics, 2021 This article considers goodness-of-fit tests for bivariate INAR and bivariate Poisson autoregression models. The test statistics are based on an L2-type distance between two estimators of the probability generating function of the observations: one being
Šárka Hudecová +2 more
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Goodness-of-Fit Test for the Bivariate Hermite Distribution
Axioms, 2022 This paper studies the goodness of fit test for the bivariate Hermite distribution. Specifically, we propose and study a Cramér–von Mises-type test based on the empirical probability generation function. The bootstrap can be used to consistently estimate
Pablo González-Albornoz +1 more
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Nonparametric Bayesian estimation and goodness of fit test [PDF]
, 1985 We first make a review of prior distributions neutral to the right, and then we get the Bayes rule for the survival function S(t) = 1 - F(t), with quadratic loss, with these prior distributions.
Quesada Paloma, Vicente +1 more
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Some Goodness of Fit Tests for Random Sequences
Lithuanian Journal of Statistics, 2013 In this paper we had made an attempt to incorporate the results from the theory of square Gaussian random variables in order to construct the goodness of fits test for random sequences (time series). We considered two versions of such tests.
Yuriy Kozachenko, Tetiana Ianevych
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