Results 61 to 70 of about 334,334 (190)
The paper presents a comparison of the methods for assessing the baseline oil production level based on the use of nonparametric statistics, integral and differential models, and neural network algorithms.
Ivanenko Boris, Petelin Alexander
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Differentially Private Nonparametric Hypothesis Testing
Hypothesis tests are a crucial statistical tool for data mining and are the workhorse of scientific research in many fields. Here we study differentially private tests of independence between a categorical and a continuous variable.
Bray, Andrew +4 more
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A class of two-sample nonparametric statistics for binary and time-to-event outcomes. [PDF]
Bofill Roig M, Gómez Melis G.
europepmc +1 more source
Nonparametric tests based on area-statistics [PDF]
Area statistics are sample versions of areas occuring in a probability plot of two distribution functions F and G. This paper gives a unified basis for five statistics of this type.
Kraft, Stefan, Schmid, Friedrich
core
New $U$-empirical tests of symmetry based on extremal order statistics, and their efficiencies
We use a characterization of symmetry in terms of extremal order statistics which enables to build several new nonparametric tests of symmetry. We discuss their limiting distributions and calculate their local exact Bahadur efficiency under location ...
Ahsanullah, M., Nikitin, Ya. Yu.
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General and specific combining ability effects are important indicators in a maize (Zea mays L.) breeding program aiming hybrid development. The objectives of the present study were to estimate the general (GCA) and specific combining abilities (SCA ...
Juarez Campolina Machado +3 more
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Consistency of a recursive estimate of mixing distributions
Mixture models have received considerable attention recently and Newton [Sankhy\={a} Ser. A 64 (2002) 306--322] proposed a fast recursive algorithm for estimating a mixing distribution.
Ghosh, Jayanta K. +2 more
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Choice of Parametric and Nonparametric Statistical Procedures in Clinical and Biomedical Research
Statistical literacy is essential in biomedical research as an author or reader. Lack of basic statistical knowledge as well as inappropriate statistical tool choice hinders understanding of biomedical research as well as its application.
Okoroiwu, U.H.* and Akwiwu C.E.
doaj
Uncertainty Quantification in Load Forecasting for Smart Grids Using Non-Parametric Statistics
In flexibility markets, aggregators serve as crucial intermediaries by consolidating and selling consumer flexibility to grid operators or distribution system operators (DSOs).
Khansa Dab +6 more
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The coronavirus disease 2019 (COVID-19) has become a huge threat to global public health and affected 188 countries and territories. As of May 24, 2020, it has caused a pandemic outbreak with more than 5,311,0893 confirmed infections and more than 342 ...
Yan-Kai Fu
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