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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.
Mircioiu C, Atkinson J.
europepmc +2 more sources
Synergistic Impacts of Organic Acids and pH on Growth of <i>Pseudomonas aeruginosa</i>: A Comparison of Parametric and Bayesian Non-parametric Methods to Model Growth. [PDF]
Different weak organic acids have significant potential as topical treatments for wounds infected by opportunistic pathogens that are recalcitrant to standard treatments.
Bushell FML +4 more
europepmc +2 more sources
Risk-sensitive Inverse Reinforcement Learning via Semi- and Non-Parametric Methods [PDF]
The literature on Inverse Reinforcement Learning (IRL) typically assumes that humans take actions in order to minimize the expected value of a cost function, i.e., that humans are risk neutral.
Lacotte, Jonathan +3 more
core +2 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
doaj +2 more sources
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
doaj +2 more sources
In the present study, five parametric and non-parametric methods: linear regression (LR), conventional Mann–Kendall (MK), modified Mann–Kendall (MMK), Spearman's Rho (SR) and Innovative Trend Method (ITM) were used to identify trends in the groundwater ...
Rasoul Mirabbasi +2 more
doaj +2 more sources
One of the basic problems in the comparison-based property valuation process is to determine the influence of property attributes on their price differential.
Gaca Radosław
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Seventeen parametric and non-parametric methods for grain yield of 5 cultivars and 20 advanced durum wheat genotypes evaluated across 10 environments during the 2004-2007 growing seasons were used to assess performance stability and adaptability of the ...
Hasan KILIÇ +2 more
doaj +2 more sources
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
doaj +1 more source
A non-parametric approach to determine an efficient premium for drought insurance [PDF]
Insurance to deal with prolonged drought periods in rural Africa requires a practical method to estimate accurate premium values that minimize economic losses. We use non-parametric methods to determine the risk non-neutral insurer’s premium for drought
Manitra A. Rakotoarisoa, Harry P. Mapp
doaj +1 more source

