Several studies used both parametric and nonparametric tests in the statistical analysis of data. A number of findings revealed varied results when both treatments were applied. In most cases, differences were due to wrong assumptions of normality of data distribution, the insufficient sample size, ...
Parametric tests是指用样本或总体中测算出的系数进行test,这里mean(均值)或variance(方差)都叫parameter, 所以叫parametric test。 Nonparametric test就是不用样本或总体测算的系数进行对比,比如用给样本或总体排序的方法去进行tests。
Parametric isa test in which parameters are assumed and the population distribution is always known. To calculate the central tendency, a meanvalueis used. These tests are common, and this makes performing research pretty straightforward without consuming much time. No assumptions are made in the No...
Depending on the assumptions made about the random errors, the distribution of ranking parameter estimators can be derived in a parametric or nonparametric way. However, as demonstrated by a simulation study and by an application to a complex real case study, the parametric approach presents a ...
A non-parametric test of independence We propose a new class of nonparametric tests for the supposition of independence between two continuous random variables X and Y: Given a sample of (X;Y ); the tests are based on the size of the longest increasing subsequence (from now ... E. Garc...
The common paired t test is known to be less powerful in cases of negative between-group correlations. In this case, Bortz and Schuster (2010) recommend the application of the nonparametric Wilcoxon test. Using Monte-Carlo simulations, we analyzed the behavior of the t- and the Wilcoxon ...
Recently, a lot of research has emerged which proposes Bayesian versions of the most common parametric and nonparametric frequentist two-sample tests. These proposals include Student's two-sample t-test and its nonparametric counterpart, the Mann鈥揥hitney U test. In this paper, the underlying ...
Chapter 5 deals with general issues relating to hypothesis testing, introducing null hypotheses, significance levels, errors (type I and II), parametric versus nonparametric tests and test tails (one or two). As tests dealing with ... DM Hawkins 被引量: 7发表: 2014年 加载更多来源...
Another is based on the mechanisms applied to learn the 𝑓(·)f(·) function: parametric and nonparametric ones. This categorization, explained in Section 2, is primarily considered in this paper. Due to the massive increases in power consumption and diversity of power generation, it has ...
Nonparametric analysis to test group medians. In particular, I'll focus on an important reason to use nonparametric tests that I don’t think gets mentioned often enough! Hypothesis Tests of the Mean and Median Nonparametric tests are like a parallel universe to parametric tests. The table...