Statistics, New Empiricism and Society in the Era of Big Data (SpringerBriefs in Statistics) 9783030730307, 9783030730291, 3030730301

Statistics, New Empiricism and Society in the Era of Big Data (SpringerBriefs in Statistics) 9783030730291, 9783030730307, 3030730298

This book reveals the myriad aspects of Big Data collection and analysis, by defining and clarifying the meaning of Big

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New Advances in Statistics and Data Science 9783319694160, 9783319694153, 3319694162

This book is comprised of the presentations delivered at the 25th ICSA Applied Statistics Symposium held at the Hyatt Re

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Data in Society: Challenging Statistics in an Age of Globalisation 9781447348245

Statistical data and evidence-based claims are increasingly central to our everyday lives. Critically examining ‘Big Dat

167 16 8MB Read more

Big Data for Twenty-First-Century Economic Statistics 9780226801391

The papers in this volume analyze the deployment of Big Data to solve both existing and novel challenges in economic mea

168 87 11MB Read more

Statistics and Analysis of Scientific Data

2,160 197 3MB Read more

Pioneering Works on Distribution Theory: In Honor of Masaaki Sibuya (SpringerBriefs in Statistics) 9789811596629, 9789811596636, 981159662X

This book highlights the forefront of research on statistical distribution theory, with a focus on unconventional random

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Uncertainty in Engineering: Introduction to Methods and Applications (SpringerBriefs in Statistics) [1st ed. 2022] 3030836398, 9783030836399

This open access book provides an introduction to uncertainty quantification in engineering. Starting with preliminaries

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Advances in Business Statistics, Methods and Data Collection 9781119672302

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Statistics for Health Data Science: An Organic Approach (Springer Texts in Statistics) 9783030598884, 9783030598891, 3030598888

Students and researchers in the health sciences are faced with greater opportunity and challenge than ever before. The o

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Shrinkage Estimation for Mean and Covariance Matrices (SpringerBriefs in Statistics) [1st ed. 2020] 9811515956, 9789811515958

This book provides a self-contained introduction to shrinkage estimation for matrix-variate normal distribution models.

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