Results 21 to 30 of about 8,105,492 (290)
Nonparametric Simultaneous Test Procedures
In this research we propose several nonparametric simultaneous test procedures for location and scale parameters. We construct test statistics based on linear rank statistics choosing a suitable combining function.
HYO-IL PARK
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On employment of methods of quantification of qualitative features in social science investigations [PDF]
The results from empirical sociological studies have to be objective and precise, yet the data processing methods applied should be a subject of verification. However, this is not the case in many studies, since the appropriate quantitative data analysis
Simonović Branislav, Popović Zoran
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Multivariate Nonparametric Tests
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Oja, Hannu, Randles, Ronald H.
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Nonparametric test for spatial geometric anisotropy
Paper deals with a problem of testing isotropy against geometric anisotropy for Gaussian spatial data. The original simple test statistic based on directional empirical semivariograms is proposed.
Kęstutis Dučinskas, Lina Dreižienė
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The common parametric statistics used for testing two independent populations have often required the assumptions of normality and equal variances. Nonparametric tests have been used when assumptions of parametric tests cannot be achieved.
Wandee Wanishsakpong +2 more
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At present, a variety of standardized 18650 commercial cylindrical lithium-ion batteries are widely used in new energy automotive industries. In this paper, the Panasonic NCR18650PF cylindrical lithium-ion batteries were studied.
Lijun Zhang, Zhongqiang Mu, Xiangyu Gao
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Tests for Independence in Nonparametric Regression [PDF]
Consider the nonparametric regression model Y = m(X)+e, where the function m is smooth, but unknown. We construct tests for the independence of e and X, based on n independent copies of (X; Y). The testing procedures are based on differences of neighboring Y's.
Einmahl, J.H.J., Keilegom, I. van
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Selection and application of statistical methods in medical research
Statistics plays an important role in medical research, and the selection of appropriate statistical methods is crucial for drawing reliable and valuable conclusions.
ZENG Huixian +8 more
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Robust-BD Estimation and Inference for General Partially Linear Models
The classical quadratic loss for the partially linear model (PLM) and the likelihood function for the generalized PLM are not resistant to outliers. This inspires us to propose a class of “robust-Bregman divergence (BD)” estimators of both the parametric
Chunming Zhang, Zhengjun Zhang
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This paper presents a comprehensive picture of extreme precipitation across Nepal from 1976 to 2015 based on high‐quality daily precipitation observations from 28 precipitation stations spatially distributed across the country.
Manisha Maharjan +4 more
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