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Data Analysis from Statistical Foundations;
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Provides theoretical insights and justification of the statistical procedures for the analysis of high-dimensional data Presents a general;
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more modern ideas of data analysis. The book is divided into three parts. Part One is concerned with data in general and with describing groups;
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A comprehensive introduction to statistical methods for data mining and knowledge discovery. Applications of data mining and big data;
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This book reconsiders statistical methods from the point of view of entropy, and introduces entropy-based approaches for data analysis;
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field, Statistical Learning and Data Science demonstrates how data analysis can improve personal and collective health and the well-being of our;
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field, Statistical Learning and Data Science demonstrates how data analysis can improve personal and collective health and the well-being of our;
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Mexico, USA, from July 31 to August 4, 1995. Maximum entropy and Bayesian methods are widely applied to statistical data analysis and scientific;
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. Analysis of Integrated Data is aimed primarily at researchers and methodologists interested in statistical methods for data from multiple sources;
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population of interest. Analysis of Integrated Data aims to provide a solid theoretical basis for this statistical analysis in three generic settings;
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characterizing function of fuzzy measurement results. Furthermore, statistical methods are then generalized to the analysis of fuzzy data and fuzzy a;
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, statistical data analysis and models, computational photography and confluence of vision and graphics, and applications in natural sciences;
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and data science. The topics covered include likelihood-based inference, Bayesian statistics, regression, statistical tests and the;
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, confidence intervals, hypothesis testing, regression analysis, the chi-square test, and more. The book also includes IBM SPSS statistical software;
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This graduate text covers a variety of mathematical and statistical tools for the analysis of big data coming from biology, medicine and;
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The statistical analysis of cost-effectiveness data is becoming increasingly important within health and medical research. Statistical;
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Reflecting new application topics, Statistical Analysis with Missing Data offers a thoroughly up-to-date, reorganized survey of current;
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authors of this book. Statistical Analysis of Gene Expression Microarray Data promises to become the definitive basic reference in the field;
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This volume contains a selection of invited papers, presented to the fourth International Conference on Statistical Data Analysis Based on;
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incurable disease, mastery of statistical analysis is paramount for anyone who must assess complex data that could improve treatment options. This;
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Solutions Manual to accompany Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery A comprehensive;
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Sciences provides clear instructions on applying statistical analysis techniques to pharmacological data. Written by an experimental pharmacologist;
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data analysis. It examines probabilistic and statistical theories for modeling human genetic epidemiology - leading the readers;
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A comprehensive introduction to modern applied statistical genetic data analysis, accessible to those without a background in molecular;
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Statistical Analysis of Management Data provides a comprehensive approach to multivariate statistical analyses that are important for;
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the chemical factors which may influence the outcome. Statistical data analysis techniques provide the tools which enable a chemist to assess;
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applying specific statistical tools to data from research studies.;
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