Results 21 to 30 of about 10,197,618 (301)

Inflated Kumaraswamy distributions

open access: yesAnais da Academia Brasileira de Ciências, 2019
: The Kumaraswamy distribution is useful for modeling variables whose support is the standard unit interval, i.e., (0, 1). It is not uncommon, however, for the data to contain zeros and/or ones.
FRANCISCO CRIBARI-NETO, JÉSSICA SANTOS
doaj   +1 more source

Distributions You Can Count On …But What’s the Point?

open access: yesEconometrics, 2020
The Poisson regression model remains an important tool in the econometric analysis of count data. In a pioneering contribution to the econometric analysis of such models, Lung-Fei Lee presented a specification test for a Poisson model against a broad ...
Brendan P.M. McCabe   +1 more
doaj   +1 more source

Test Submission

open access: yes, 2023
This is a sample submission generated by Vireo to test the repository deposit ...
Submitter, Test
core   +3 more sources

Test facilities for SCORE-D [PDF]

open access: yesCEAS Space Journal, 2013
The LOX/LH2 Staged Combustion Rocket Engine Demonstrator (SCORE-D) is part of ESA’s Future Launcher Preparatory Program (FLPP). SCORE-D serves as a technology demonstrator in perspective of the development of the High Thrust Engine (HTE), which is designated as a candidate for the main stage engine of the Next Generation Launcher (NGL).
Greuel, Dirk   +4 more
openaire   +3 more sources

Inference for the Parameters of a Zero-Inflated Poisson Predictive Model

open access: yesRisks
In the insurance sector, Zero-Inflated models are commonly used due to the unique nature of insurance data, which often contain both genuine zeros (meaning no claims made) and potential claims.
Min Deng   +2 more
doaj   +1 more source

Use of the score test as a goodness-of-fit measure of the covariance structure in genetic analysis of longitudinal data

open access: yesGenetics Selection Evolution, 2003
Model selection is an essential issue in longitudinal data analysis since many different models have been proposed to fit the covariance structure. The likelihood criterion is commonly used and allows to compare the fit of alternative models.
White Ian MS   +2 more
doaj   +1 more source

Ordinal Cochran-Mantel-Haenszel Testing and Nonparametric Analysis of Variance: Competing Methodologies

open access: yesStats, 2022
The Cochran-Mantel-Haenszel (CMH) and nonparametric analysis of variance (NP ANOVA) methodologies are both sets of tests for categorical response data.
J. C. W. Rayner, G. C. Livingston
doaj   +1 more source

Specification tests for the propensity score [PDF]

open access: yesJournal of Econometrics, 2019
This paper proposes new nonparametric diagnostic tools to assess the asymptotic validity of different treatment effects estimators that rely on the correct specification of the propensity score. We derive a particular restriction relating the propensity score distribution of treated and control groups, and develop specification tests based upon it. The
Sant'Anna, Pedro H. C., Song, Xiaojun
openaire   +3 more sources

Scoring the Stroop test

open access: yesActa Psychologica, 1965
The Stroop Test, also known as the color-word naming test, has been used in over sixty published psychological studies since the test was originally described by Stroop (2). The test has been used to attempt to measure a variety of processes and traits in the cognitive and personality domains, which it is not the purpose of this article to review.
openaire   +2 more sources

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