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In an era dominated by mathematical and statistical models, this book unravels the profound significance of these tools in decoding uncertainties within numerical, observational, and calculation-based data.
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Discusses machine learning models and their optimization in mathematical modeling. Covers important topics such as linear integer... Læs mere
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The book reviews the development process of blockchain algorithms and examples of their applications in different sectors. The opportunities and challenges of blockchain implementations that arise in making technological innovations usable in corporate structures are discussed.
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The book provides mathematicians an overview of AI and machine learning relevant to operations research. It focuses decision modeling and optimization models as well as algorithms.
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This comprehensive text offers insights into diverse fields such as engineering, economics, medicine, and agriculture, addressing real-world challenges. It delves into the intricacies of the Lomax distribution under a Type II censoring scheme, exploring various loss functions.
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Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA), and this revised edition is accompanied by the R package... Læs mere
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Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA), and this revised edition is accompanied by the R package... Læs mere
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This book places an emphasis upon statistical methodology, data interpretation, and futureproofing... Læs mere
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This volume consists of 100 problems in probability and statistics, together with solutions and extensive notes on the solutions designed to enable the reader to... Læs mere
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This new edition of 'High-Dimensional Probability,' winner of the 2019 PROSE Award in Mathematics, offers an accessible and... Læs mere
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This text explains how to build and analyze plausible models for random networks, and how to use statistics for validating such models, for detecting unusual features... Læs mere
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Whether you're new to statistical analysis or looking to enhance your analytical skills with the R programming language, this textbook provides comprehensive and practical guidance for understanding fundamental statistical concepts through healthcare examples in R.