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Inflated Kumaraswamy distributions
: 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
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Distributions You Can Count On …But What’s the Point?
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
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This is a sample submission generated by Vireo to test the repository deposit ...
Submitter, Test
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Test facilities for SCORE-D [PDF]
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
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Inference for the Parameters of a Zero-Inflated Poisson Predictive Model
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
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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
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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
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Specification tests for the propensity score [PDF]
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
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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.
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