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Mathematics of Uncertainty


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"Mathematics Uncertainty" provides the basic ideas and fundamentals of uncertainty, including the field of mathematics in which uncertainty, variability, imprecision and vagueness of data is important. In addition to the basic ideas of this book also presents the qualitative data analysis methods such as cluster analysis and classification, and evaluation of functional relationships such as regression analysis and quantitative fuzzy data analysis.

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mathematics statistics psychometrics science applied mathematics scientific method evaluation methods regression analysis research methods qualitative research probability interpretations uncertainty

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