Results 21 to 30 of about 347,353 (142)

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

Adaptive goodness-of-fit testing from indirect observations [PDF]

open access: yes, 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

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

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

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

Universal Codes as a Basis for Time Series Testing [PDF]

open access: yes, 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
core   +2 more sources

Linking Pareto-Tail Kernel Goodness-Offit Statistics with Tail Index at Optimal Threshold and Second Order Estimation

open access: yesRevstat Statistical Journal, 2008
In this paper the relation between goodness-of-fit testing and the optimal selection of the sample fraction for tail estimation, for instance using Hill’s estimator, is examined.
Yuri Goegebeur   +2 more
doaj   +1 more source

Goodness-of-fit tests for weibull populations on the basis of records [PDF]

open access: yesJournal 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
doaj   +1 more source

A New Goodness-of-Fit Test for Item Response Theory [PDF]

open access: yes, 2004
Chi-square techniques for testing goodness-of-fit in item response theory are shown to give incorrect results. A new measure, CB, based on cumulants is proposed which avoids the arbitrary nature of interval creation found in chi-square techniques.
Neel, John H.
core   +3 more sources

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