Results 1 to 10 of about 24,846,304 (299)
Comparison of non-parametric methods for ungrouping coarsely aggregated data. [PDF]
BMC Med Res Methodol, 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.
Rizzi S +6 more
europepmc +2 more sources
Parametric methods outperformed non-parametric methods in comparisons of discrete numerical variables. [PDF]
BMC Med Res Methodol, 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.
Fagerland MW, Sandvik L, Mowinckel P.
europepmc +2 more sources
Investigation of Parametric, Non-Parametric and Semiparametric Methods in Regression Analysis [PDF]
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
doaj +2 more sources
Evaluation of Grain Yield Stability of Durum Wheat Genotypes Using Parametric and Non-Parametric Methods [PDF]
پژوهشهای ژنتیک گیاهی, 2021 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
doaj +1 more source
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
doaj +1 more source
Longitudinal data clustering methods: A Systematic Review
Journal of Biostatistics and Epidemiology, 2023 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
doaj +1 more source
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
doaj +1 more source
Journal of Agriculture and Food Research, 2021 Grain yield stability measurements under varied environmental conditions suggests selection of suitable genotype. Safflower genotypes having different origins were tested for G x E effects on yield using univariate and multivariate statistics in six test
Obaid Afzal +4 more
doaj +1 more source
Non-parametric and least squares Langley plot methods [PDF]
Atmospheric Measurement Techniques, 2016 Langley plots are used to calibrate sun radiometers primarily for the measurement of the aerosol component of the atmosphere that attenuates (scatters and absorbs) incoming direct solar radiation.
P. W. Kiedron, J. J. Michalsky
doaj +1 more source
Bank Efficiency Assessment: A Bayesian Approach (Case Study of the Selected Banks of Iran) [PDF]
فصلنامه پژوهشهای اقتصادی ایران, 2020 The purpose of this research is to measure the efficiency of selected Iranian banks from 2010 to 2016. We estimate efficiency, productivity and efficiency changes under the Bayesian setting.
Mohammad Taghi Taghavifard +2 more
doaj +1 more source