Results 21 to 30 of about 349,134 (285)
Quantum Chi-Squared and Goodness of Fit Testing [PDF]
, 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
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Assessing Goodness of Fit for Verifying Probabilistic Forecasts
Forecasting, 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
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vsgoftest: An R Package for Goodness-of-Fit Testing Based on Kullback-Leibler Divergence
Journal of Statistical Software, 2020 The R package vsgoftest performs goodness-of-fit (GOF) tests, based on Shannon entropy and Kullback-Leibler divergence, developed by Vasicek (1976) and Song (2002), of various classical families of distributions. The so-called Vasicek-Song (VS) tests are
Justine Lequesne, Philippe Regnault
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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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Development of an Informal Test for the Fit of a Probability Distribution Model for Teaching
Journal 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
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Universal Codes as a Basis for Time Series Testing [PDF]
, 2005 We suggest a new approach to hypothesis testing for ergodic and stationary processes. In contrast to standard methods, the suggested approach gives a possibility to make tests, based on any lossless data compression method even if the distribution law of
Astola, Jaakko, Ryabko, Boris
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Goodness of fit by Neyman-Pearson testing
SciPost PhysicsThe 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
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Mathematics, 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
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Exact goodness-of-fit testing for the Ising model
, 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
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Adaptive goodness-of-fit testing from indirect observations [PDF]
, 2009 International audienceIn a convolution model, we observe random variables whose distribution is the convolution of some unknown density $f$ and some known noise density $g$. We assume that $g$ is polynomially smooth.
Butucea, Cristina +2 more
core +3 more sources