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Christian Heumann
Statistical Foundations, Reasoning and Inference
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4444228Statistical Foundations, Reasoning and Inferencehttps://www.gandhi.com.mx/statistical-foundations--reasoning-and-inference-9783030698270/phttps://gandhi.vtexassets.com/arquivos/ids/4121340/image.jpg?v=63844328481830000015401711MXNSpringer International PublishingInStock/Ebooks/<p>This textbook provides a comprehensive introduction to statistical principles, concepts and methods that are essential in modern statistics and data science. The topics covered include likelihood-based inference, Bayesian statistics, regression, statistical tests and the quantification of uncertainty. Moreover, the book addresses statistical ideas that are useful in modern data analytics, including bootstrapping, modeling of multivariate distributions, missing data analysis, causality as well as principles of experimental design. The textbook includes sufficient material for a two-semester course and is intended for masters students in data science, statistics and computer science with a rudimentary grasp of probability theory. It will also be useful for data science practitioners who want to strengthen their statistics skills.</p>...4533960Statistical Foundations, Reasoning and Inference15401711https://www.gandhi.com.mx/statistical-foundations--reasoning-and-inference-9783030698270/phttps://gandhi.vtexassets.com/arquivos/ids/4121340/image.jpg?v=638443284818300000InStockMXN99999DIEbook20219783030698270_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_<p>This textbook provides a comprehensive introduction to statistical principles, concepts and methods that are essential in modern statistics and data science. The topics covered include likelihood-based inference, Bayesian statistics, regression, statistical tests and the quantification of uncertainty. Moreover, the book addresses statistical ideas that are useful in modern data analytics, including bootstrapping, modeling of multivariate distributions, missing data analysis, causality as well as principles of experimental design. The textbook includes sufficient material for a two-semester course and is intended for masters students in data science, statistics and computer science with a rudimentary grasp of probability theory. It will also be useful for data science practitioners who want to strengthen their statistics skills.</p>(*_*)9783030698270_<p>This textbook provides a comprehensive introduction to statistical principles, concepts and methods that are essential in modern statistics and data science. The topics covered include likelihood-based inference, Bayesian statistics, regression, statistical tests and the quantification of uncertainty. Moreover, the book addresses statistical ideas that are useful in modern data analytics, including bootstrapping, modeling of multivariate distributions, missing data analysis, causality as well as principles of experimental design. The textbook includes sufficient material for a two-semester course and is intended for masters students in data science, statistics and computer science with a rudimentary grasp of probability theory. It will also be useful for data science practitioners who want to strengthen their statistics skills.</p>...9783030698270_Springer International Publishinglibro_electonico_9783030698270_9783030698270Christian HeumannInglésMéxico2021-09-30T00:00:00+00:00Springer International Publishing