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Statistics and Data Analysis for Engineers and Scientists
This textbook summarizes the different statistical, scientific, and financial data analysis methods for users ranging from a high school level to a...
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Analysis of Epidemiologic Data Using R
This book addresses the description and analysis of occurrence data frequently encountered in epidemiological studies. With the occurrence of...
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Trajectory Optimization and Guidance Methods for Mars Entry
This book systematically investigates the Mars entry problem from the perspectives of deterministic optimization, uncertainty optimization, and...
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A Circular Built Environment in the Digital Age
This open access book offers a comprehensive exploration of the digital innovations that have emerged in recent years for the circular built...
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Matrix Algebra Theory, Computations and Applications in Statistics
This book presents the theory of matrix algebra for statistical applications, explores various types of matrices encountered in statistics, and...
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Statistics with Posterior Probability and a PHC Curve
This textbook reconstructs the statistics curriculum from the perspective of posterior probability.
In recent years, there have been several reports...
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Hierarchical Archimedean Copulas
This book offers a thorough understanding of Hierarchical Archimedean Copulas (HACs) and their practical applications. It covers the basics of...
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Audit Analytics Data Science for the Accounting Profession
This book, using R and RStudio, demonstrates how to render an audit opinion that is legally and statistically defensible; analyze, extract, and...
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Manifold Learning Model Reduction in Engineering
This Open Access book reviews recent theoretical and numerical developments in nonlinear model order reduction in continuum mechanics, being...
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Machine Learning Governance for Managers
Machine Learning Governance for Managersprovides readers with the knowledge to unlock insights from data and leverage AI solutions. In today's...
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Causality for Artificial Intelligence From a Philosophical Perspective
How can we teach machine learning to identify causal patterns in data? This book explores the very notion of “causality”, identifying from a...
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Diffusion Under Confinement A Journey Through Counterintuition
This book offers the reader a journey through the counterintuitive nature of Brownian motion under confinement. Diffusion is a universal phenomenon...
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Model Validation and Uncertainty Quantification, Volume 3 Proceedings of the 41st IMAC, A Conference and Exposition on Structural Dynamics 2023
Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 41st IMAC, A Conference and Exposition on Structural Dynamics, 2023,...
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Hilbert C*- Modules and Quantum Markov Semigroups
This book explains the basic theory of Hilbert C*-module in detail, covering a wide range of applications from generalized index to module framework....
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Machine Learning Methods
This book provides a comprehensive and systematic introduction to the principal machine learning methods, covering both supervised and unsupervised...
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Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications Selected Contributions from SimStat 2019 and Invited Papers
This volume presents a selection of articles on statistical modeling and simulation, with a focus on different aspects of statistical estimation and...
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Optimal Surface Fitting of Point Clouds Using Local Refinement Application to GIS Data
This open access book provides insights into the novel Locally Refined B-spline (LR B-spline) surface format, which is suited for representing...
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Industrial Statistics A Computer-Based Approach with Python
This innovative textbook presents material for a course on industrial statistics that incorporates Python as a pedagogical and practical resource....
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Classification and Data Science in the Digital Age
The contributions gathered in this open access book focus on modern methods for data science and classification and present a series of real-world...
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Optimal Experimental Design A Concise Introduction for Researchers
This textbook provides a concise introduction to optimal experimental design and efficiently prepares the reader for research in the area. It...
