Results 1 to 10 of about 15,810,178 (316)
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
doaj +1 more source
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
core +1 more source
Selected Statistical Tests for Median and Their Properties
In the paper, a selection of statistical tests for median are presented. In particular, parametric and nonparametric significance tests are considered.
Dorota Pekasiewicz, Agata Szczukocka
doaj +1 more source
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
doaj +1 more source
Robust multivariate nonparametric tests via projection averaging
In this work, we generalize the Cram\'er-von Mises statistic via projection-averaging to obtain a robust test for the multivariate two-sample problem. The proposed test is consistent against all fixed alternatives, robust to heavy-tailed data and minimax
Ilmun Kim +2 more
semanticscholar +1 more source
Smoothed nonparametric two-sample tests
We propose new smoothed median and the Wilcoxon's rank sum test. As is pointed out by Maesono et al.(2016), some nonparametric discrete tests have a problem with their significance probability. Because of this problem, the selection of the median and the
Maesono, Yoshihiko, Moriyama, Taku
core +1 more source
In this part of the review, statistical tests utilized to examine hypotheses regarding population parameters on a representative sample, which forms the fundamentals of inferential statistics are discussed.
Erdem Karabulut, Mehmet Ali Sungur
doaj +1 more source
spTest: An R Package Implementing Nonparametric Tests of Isotropy
An important step in modeling spatially-referenced data is appropriately specifying the second order properties of the random field. A scientist developing a model for spatial data has a number of options regarding the nature of the dependence between ...
Zachary D. Weller
doaj +1 more source
Nonparametric Tests for the Interaction in Two-way Factorial Designs Using R
An increasing number of R packages include nonparametric tests for the interaction in two-way factorial designs. This paper briefly describes the different methods of testing and reports the resulting p-values of such tests on datasets for four types of ...
Jos Feys
semanticscholar +1 more source
Rank tests are the most important methods of nonparametric statistics. In the introductory part, there are discussions of parametric and nonparametric metods and as a result of those discussions it is established that the rank tests are one of the most ...
Timotijević Marjana
doaj

