A Comparison of Parametric and Non-Parametric Methods Applied to a Likert Scale. [PDF]
A trenchant and passionate dispute over the use of parametric versus non-parametric methods for the analysis of Likert scale ordinal data has raged for the past eight decades. The answer is not a simple “yes” or “no” but is related to hypotheses, objectives, risks, and paradigms. In this paper, we took a pragmatic approach.
Mircioiu C, Atkinson J.
europepmc +7 more sources
Parametric methods outperformed non-parametric methods in comparisons of discrete numerical variables [PDF]
Background The number of events per individual is a widely reported variable in medical research papers. Such variables are the most common representation of the general variable type called discrete numerical.
Sandvik Leiv +2 more
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Comparison of non-parametric methods for ungrouping coarsely aggregated data [PDF]
Background Histograms are a common tool to estimate densities non-parametrically. They are extensively encountered in health sciences to summarize data in a compact format.
Silvia Rizzi +6 more
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Investigation of Parametric, Non-Parametric and Semiparametric Methods in Regression Analysis [PDF]
Regression analysis is known as statistical methods applied to model and analyze the relationship between variables. Regression method can be examined as parametric, non-parametric and semiparametric regression methods.The parametric regression method ...
Esra Yavuz, Mustafa Şahin
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Comparison of reliability techniques of parametric and non-parametric method
AbstractReliability of a product or system is the probability that the product performs adequately its intended function for the stated period of time under stated operating conditions. It is function of time. The most widely used nano ceramic capacitor C0G and X7R is used in this reliability study to generate the Time-to failure (TTF) data.
C. Kalaiselvan, L. Bhaskara Rao
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Evaluation of Grain Yield Stability of Durum Wheat Genotypes Using Parametric and Non-Parametric Methods [PDF]
Durum wheat (Triticum turgidum L.), like most other crops, is affected by various stresses. Therefore, cultivars that, in addition to the ability to produce higher yields, can maintain their yield potential in different years and locations are considered
Rahmatollah Karimizadeh +5 more
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Data analysis – preference of pertinent statistical method in research
Various statistical techniques exist in statistics for the analysis and interpretation of the data. The awareness of assumptions and circumstances governing each statistical method is crucial for selecting the best method for data analysis.
Anita Teli +2 more
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Non Parametric ROC Summary Statistics
Receiver operating characteristic (ROC) curves are useful statistical tools for medical diagnostic testing. It has been proved its capability to assess diagnostic marker’s ability to distinguish between healthy and diseased subjects and to compare ...
M.C. Pardo , A.M. Franco-Pereira
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Measuring banking efficiency in Vietnam: parametric and non-parametric methods [PDF]
The article aims to evaluate the business efficiency of commercial banks in Vietnam using both parametric and non-parametric approaches. In this study, the Stochastic Frontier Analysis (SFA), which belongs to a parametric method, and Data Envelopment ...
Loan Thi Vu +2 more
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Longitudinal data clustering methods: A Systematic Review
In the last few decades, in many research fields, different methods were introduced to discover groups with the same trends in longitudinal data. The clustering process is an unsupervised learning method, which classifies longitudinal data based on ...
Arefeh Dehghani tafti +3 more
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