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Multivariate Nonparametric Tests
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Oja, Hannu, Randles, Ronald H.
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Nonparametric tests of conditional treatment effects [PDF]
We develop a general class of nonparametric tests for treatment effects conditional on covariates. We consider a wide spectrum of null and alternative hypotheses regarding conditional treatment effects, including (i) the null hypothesis of the ...
Whang, Yoon-Jae +5 more
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Deciphering the dilemma of parametric and nonparametric tests
The potential source of complexity while analyzing the data is to choose on whether the data collected could be analyzed properly by the application of parametric tests or nonparametric tests.
Rakesh Kumar Rana +2 more
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Sign, Wilcoxon and Mann-Whitney Tests for Functional Data: An Approach Based on Random Projections
Sign, Wilcoxon and Mann-Whitney tests are nonparametric methods in one or two-sample problems. The nonparametric methods are alternatives used for testing hypothesis when the standard methods based on the Gaussianity assumption are not suitable to be ...
Rafael Meléndez +2 more
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Nonparametric Rank Tests for Independence in Opinion Surveys
Nonparametric rank tests for independence between two characteristics are commonly used in many social opinion surveys. When both characteristics are ordinal in nature, tests based on rank correlations such as those due to Spearman and Kendall are often ...
Philip L.H. Yu, K.F. Lam, Mayer Alvo
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Chicken Meat Consumption Habits of University Students: Case of Siirt University, Turkey
In this study, it was aimed to determine the chicken meat consumption habits of students studying at Siirt University and the factors affecting these habits. The study material consists of data obtained by face to face survey method with a total of 217
Muhammet Ali KARA +2 more
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Trend Analysis of Temperature, Precipitation, and Relative Humidity Changes in Iran [PDF]
Introduction In the pursuit of detecting the trend and the shift in trend in hydro-meteorological variables, various statistical methods have been developed and used over the years.
Anahita Eblaghian +3 more
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Nonparametric Clustering of Mixed Data Using Modified Chi-Squared Tests
We propose a non-parametric method to cluster mixed data containing both continuous and discrete random variables. The product space of the continuous and discrete sample space is transformed into a new product space based on adaptive quantization on the
Yawen Xu, Xin Gao, Xiaogang Wang
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A Nonparametric Search for Information Effects from USDA Reports
Two nonparametric tests are employed to investigate the potential information value of USDA crop and livestock reports. If daily returns on days that reports are released (announcement days) differ when compared to non-announcement days for a sizeable ...
Jeffrey Dorfmann, Berna Karali
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Methods for nonparametric statistics in scientific research. Overview. Part 2
The use of nonparametric methods in scientific research provides a number of advantages. The most important of these advantages are versatility and a wide range of such methods.
M. A. Nikitina, I. M. Chernukha
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