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Qualitative and quantitative data envelopment analysis with interval data
Annals of Operations Research, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Masahiro Inuiguchi, Fumiki Mizoshita
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Comparative Analysis of Multidimensional, Quantitative Data
IEEE Transactions on Visualization and Computer Graphics, 2010When analyzing multidimensional, quantitative data, the comparison of two or more groups of dimensions is a common task. Typical sources of such data are experiments in biology, physics or engineering, which are conducted in different configurations and use replicates to ensure statistically significant results.
Alexander Lex +4 more
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Fundamentals of Quantitative PET Data Analysis
Current Pharmaceutical Design, 2002Drug analysis and development with PET should fully exhaust the ability of this tomographic technique to quantify regional tracer concentrations in vivo. Data evaluation based on visual inspection or assessment of regional image contrast is not sufficient for this purpose since much of the information present in dynamically acquired data is not used by
Willemsen, A. T. M., Hoff, J.
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Quantitative Data in Neuroanatomy
1970Publisher Summary This chapter describes the importance of quantitative methods in neuroanatomy, outlines the history and basis of modern methods, and discusses the methods to avoid errors and use of various instrumentsThe three integral methods are: the measurement of volume ratio by point sampling, the measurement of surface per volume, and of ...
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Quantitative Analysis of Qualitative Data
Psychometrika, 1981This paper presents an overview of an approach to the quantitative analysis of qualitative data with theoretical and methodological explanations of the two cornerstones of the approach, Alternating Least Squares and Optimal Scaling. Using these two principles, my colleagues and I have extended a variety of analysis procedures originally proposed for ...
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Scatterplots for quantitative data
2022This chapter explains how a scatterplot is a good choice for presenting quantitative data. It explains that scatterplots are the most effective way of plotting data points of two variables and determining the relationship between those variables. Time series is a common type of scatterplot when plotting the change in one continuous variable over time ...
Rosalind K. Humphreys, Graeme D. Ruxton
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Data Presentation — Quantitative Data
1991In Chapter 2 we discussed various ways (several graphical and one tabular) of presenting qualitative data. In all the example we considered, the data arose from a nominal measuring scale. Although nominal (i.e. qualitative) data often occurs in business and economics, more common is quantitative data, arising from the use of ordinal and interval/ratio ...
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The Quantitative Analysis of EEG Data
1970Publisher Summary Electroencephalography (EEG) may help the clinician to discover position and, sometimes, even type of a brain lesion. This intuitive handling of EEG data has left many scientists unsatisfied and has stimulated research to quantify EEG data. The most efficient way to quantify all EEG parameters is to digitalize the analog EEG traces.
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2021
This chapter discusses the analysis of data in quantitative research and the most common strategies to follow. Undergraduate students in most programmes may not necessarily need to use advanced statistical analysis. This chapter takes the readers through parametric and non-parametric tests.
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This chapter discusses the analysis of data in quantitative research and the most common strategies to follow. Undergraduate students in most programmes may not necessarily need to use advanced statistical analysis. This chapter takes the readers through parametric and non-parametric tests.
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2019
Abstract This paper is the main section on quantitative data analysis. It explains the concepts at a greater detail to help non-Math/Stat scholars to understand the basics easily. Proper data analysis is critical to any research. If data are not properly analyzed, then it may give results which either cannot be properly interpreted or
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Abstract This paper is the main section on quantitative data analysis. It explains the concepts at a greater detail to help non-Math/Stat scholars to understand the basics easily. Proper data analysis is critical to any research. If data are not properly analyzed, then it may give results which either cannot be properly interpreted or
openaire +1 more source