Results 31 to 40 of about 376,667 (303)

Quantum Chi-Squared and Goodness of Fit Testing [PDF]

open access: yes, 2014
The density matrix in quantum mechanics parameterizes the statistical properties of the system under observation, just like a classical probability distribution does for classical systems. The expectation value of observables cannot be measured directly,
Bahadur R. R.   +10 more
core   +4 more sources

Testing Multivariate Normality Based on F-Representative Points

open access: yesMathematics, 2022
The multivariate normal is a common assumption in many statistical models and methodologies for high-dimensional data analysis. The exploration of approaches to testing multivariate normality never stops.
Sirao Wang   +3 more
doaj   +1 more source

Assessing Goodness of Fit for Verifying Probabilistic Forecasts

open access: yesForecasting, 2021
The verification of probabilistic forecasts in hydro-climatology is integral to their development, use, and adoption. We propose here a means of utilizing goodness of fit measures for verifying the reliability of probabilistic forecasts.
Tae-Ho Kang   +2 more
doaj   +1 more source

Nonparametric checks for single-index models [PDF]

open access: yes, 2005
In this paper we study goodness-of-fit testing of single-index models. The large sample behavior of certain score-type test statistics is investigated. As a by-product, we obtain asymptotically distribution-free maximin tests for a large class of local ...
Stute, Winfried, Zhu, Li-Xing
core   +3 more sources

Goodness-of-fit testing of error distribution in linear measurement error models

open access: yesAnnals of Statistics, 2018
This paper investigates a class of goodness-of-fit tests for fitting an error density in linear regression models with measurement error in covariates.
H. Koul, Weixing Song, Xiaoqing Zhu
semanticscholar   +1 more source

Efficient algorithm for testing goodness-of-fit for classification of high dimensional data

open access: yesLietuvos 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
doaj   +1 more source

Development of an Informal Test for the Fit of a Probability Distribution Model for Teaching

open access: yesJournal of Statistics Education, 2020
Informally testing the fit of a probability distribution model is educationally a desirable precursor to formal methods for senior secondary school students. Limited research on how to teach such an informal approach, lack of statistically sound criteria
Anna Fergusson, Maxine Pfannkuch
doaj   +1 more source

Goodness of fit by Neyman-Pearson testing

open access: yesSciPost Physics
The Neyman-Pearson strategy for hypothesis testing can be employed for goodness of fit if the alternative hypothesis is selected from data by exploring a rich parametrised family of models, while controlling the impact of statistical fluctuations.
Gaia Grosso, Marco Letizia, Maurizio Pierini, Andrea Wulzer
doaj   +1 more source

An Alternative Model for Describing the Reliability Data: Applications, Assessment, and Goodness-of-Fit Validation Testing

open access: yesMathematics, 2023
We provide a new extension of the exponential distribution with an emphasis on the practical elements of the model. Six different classical estimation methods were applied and compared. The main test was evaluated on complete data using four sets of data.
Haitham M. Yousof   +6 more
doaj   +1 more source

Exact goodness-of-fit testing for the Ising model

open access: yes, 2016
The Ising model is one of the simplest and most famous models of interacting systems. It was originally proposed to model ferromagnetic interactions in statistical physics and is now widely used to model spatial processes in many areas such as ecology ...
Cepeda, Sarah   +2 more
core   +1 more source

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