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Michael Eid, Christian Geiser, Tobias Koch
Structural Equation Modeling of Multiple Rater Data

From leading authorities, this book offers the first comprehensive introduction to structural equation modeling (SEM) of multiple rater data. Rather than taking a one-size-fits-all approach, the book show…

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Y Chen
Financial Data Analytics with Machine Learning, Op timization and Statistics

PRAISE FOR FINANCIAL DATA ANALYTICS"Really interesting, and an impressive masterpiece! Financial Data Analytics contains a rich amount of material, with original research findings in almost every cha…

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Prerna Tambay
HR Analytics: A Complete Guide to the Theory and Practice of Data-Driven HR

Understand the theory and practice of collecting, analysing and reporting people data with this dedicated textbook.

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Practical Statistical Learning and Data Science Methods

This contributed volume offers practical implementation strategies for statistical learning and data science techniques, with fully peer-reviewed papers that embody insights and experiences gathered withi…

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Environmental Policy Science's Exploration for Innovative Data

This edited volume discusses the use of nontraditional data sources in environmental political research and its implications for policymaking. Researchers involved in natural resource investigations and p…

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Yajing Yan
Inversion and Data Assimilation in Remote Sensing

Remote sensing data are now the primary sources for observing Earth and the Universe. Data inversion and assimilation techniques are the main tools for estimating and predicting the geophysical parameters…

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Iris Bohnet, Siri Chilazi
Make Work Fair

Two leading gender experts and Harvard researchers reveal a new paradigm for fairness at work and offer professionals at every level, in any kind of organization, immediate, proven, and evidence-based way…

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Data-Centric Business and Applications

The combination of the latest developments in economic theory with contemporary information technologies may be considered as a powerful instrument for the processing of commercial data. This book employs…

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Applied Computational Intelligence, Informatics and Big Data

This book LNICST 616 constitutes the proceedings of the First International Conference on Applied Computational Intelligence, Informatics and Big Data, ACIIBD 2024, held in Guangzhou, China, during July 2…

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Umberto Michelucci
Statistics for Scientists

This book offers researchers and practitioners a concise and accessible guide to the essential concepts in statistics, emphasizing their proper application. It encourages readers to delve deeper into the …

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Mark Levene, Martyn Harris
Just Enough Data Science and Machine Learning

An accessible introduction to applied data science and machine learning, with minimal math and code required to master the foundational and technical aspects of data science.In Just Enough Data Science an…

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Big Data in Finance: Transforming the Financial Landscape

This book offers a comprehensive exploration of how Big Data analytics is reshaping the financial world, providing crucial insights for industry professionals, scholars, and enthusiasts alike. This book d…

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Youssva
Democratizing Data: User-Friendly Visualizations for Particle Physics

The original title effectively conveys the goal of making particle physics data more accessible through user-friendly visualizations. Here's a breakdown: ¿ Democratizing Data: This emphasizes the shift to…

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Data-Driven Decision Making for Product Service Systems

This book is a compilation of theoretical and practical contributions aimed at facilitating the servitization of manufacturing companies, specifically focusing on data-driven decision-making within the co…

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New Frontiers in Statistics and Data Science

This volume showcases a collection of thirty-two peer-reviewed articles presented at the XXVI Congress of the Portuguese Statistical Society (2023). It covers a wide range of cutting-edge topics in both t…

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Big Data in Finance: Transforming the Financial Landscape

This book uncovers the potential of machine learning, artificial intelligence, and advanced analytics to empower financial institutions to stay competitive in an ever-evolving market. In the age of digita…

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Rhythmische Vorteile in Big Data und Machine Learning

Das Buch behandelt verschiedene Aspekte der Biophysik, beginnend mit einem populären Artikel über Neurobiologie und erstreckt sich bis zur Quantenbiologie, um letztendlich das Bewusstsein sowohl von Mensc…

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Claire Keogh
#WakingTheFeminists and the Data-Driven Revolution in Irish Theatre

This Element examines the #WakingTheFeminists movement, a grassroots campaign for gender equality in Irish theatre, sparked by Lian Bell's Facebook post about the gender disparity in Abbey Theatre's 2016 …

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Yangquan Chen, Haoyu Niu
Smart Big Data in Digital Agriculture Applications

In the dynamic realm of digital agriculture, the integration of big data acquisition platforms has sparked both curiosity and enthusiasm among researchers and agricultural practitioners. This book embarks…

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Automating Governance in China?

Automating Governance in China?' offers new insights on the deployment of automated decision-making in authoritarian governance and on its application and implementation in real-life scenarios.

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