Parametric methods outperformed non-parametric methods in comparisons of discrete numerical variables [PDF]
BMC Medical Research Methodology, 2011 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]
BMC Medical Research Methodology, 2016 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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Determination of the Characteristics of Non-Stationary Random Processes by Non-Parametric Methods of Decision Theory [PDF]
Computation, 2023 This article is devoted to methods of processing random processes. This task becomes particularly relevant in cases where the random process is broadband and non-stationary; then, the measurement of a random process can be associated with an assessment ...
Bulat-Batyr Yesmagambetov
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An innovative approach based on real-world big data mining for calculating the sample size of the reference interval established using transformed parametric and non-parametric methods [PDF]
BMC Medical Research Methodology, 2022 Background Currently, the direct method is the main approach for establishment of reference interval (RI). However, only a handful of studies have described the effects of sample size on establishment of RI and estimation of sample size.
Chaochao Ma +8 more
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International Journal of Finance & Banking Studies (2147-4486), 2013 A number of authors suggested that the impact of the macroeconomic factors on the incidence of the financial distress, and afterward in case of failure of companies. However, macroeconomic factors rarely, if ever, appear as variables in predictive models that seek to identify distress and failure; modellers generally suggest that the impact of ...
Ben Jabeour Sami
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Data analysis – preference of pertinent statistical method in research
National Journal of Physiology, Pharmacy and Pharmacology, 2023 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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A non-parametric approach to determine an efficient premium for drought insurance [PDF]
SocioEconomic Challenges, 2023 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
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Investigation of Parametric, Non-Parametric and Semiparametric Methods in Regression Analysis
Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2022 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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Non Parametric ROC Summary Statistics
Revstat Statistical Journal, 2022 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]
Banks and Bank Systems, 2019 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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