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Yuan F: Fundamentals of Practical
Reliability Engineering

Fundamentals of Practical Reliability Engineering

Annals of Mathematics Studies

A comprehensive new theory of adelic line bundles on quasi-projective varieties over finitely generated fields This book introduces a comprehensive theory of adelic line bundles on quasi-projective varieties over finitely generated fields, developed in both geometric and arithmetic contexts. In the geometric setting, adelic line bundles are defined as limits of line bundles on projective compactifications under the boundary topology. In the arithmetic setting, they are defined as limits of Hermitian line bundles on projective arithmetic compactifications, also under the boundary topology. After establishing these foundational definitions, the book uses the theory to explore key concepts such as intersection theory, effective sections, volumes, and positivity of adelic line bundles. It also applies these results to study height functions of algebraic points and prove an equidistribution theorem on quasi-projective varieties. This theory has broad applications in the study of numerical, dynamical, and Diophantine properties of moduli spaces, quasi-projective varieties, and varieties over finitely generated fields.

Adelic Line Bundles on Quasi-projective Varieties

A comprehensive new theory of adelic line bundles on quasi-projective varieties over finitely generated fieldsThis book introduces a comprehensive theory of adelic line bundles on quasi-projective varieties over finitely generated fields, developed in both geometric and arithmetic contexts. In the geometric setting, adelic line bundles are defined as limits of line bundles on projective compactifications under the boundary topology. In the arithmetic setting, they are defined as limits of Hermitian line bundles on projective arithmetic compactifications, also under the boundary topology. After establishing these foundational definitions, the book uses the theory to explore key concepts such as intersection theory, effective sections, volumes, and positivity of adelic line bundles. It also applies these results to study height functions of algebraic points and prove an equidistribution theorem on quasi-projective varieties. This theory has broad applications in the study of numerical, dynamical, and Diophantine properties of moduli spaces, quasi-projective varieties, and varieties over finitely generated fields.

WIDER Studies in Development Economics

Pandemic Governance Across the Global South

How States Respond to Crisis

De Gruyter Series in Applied and Numerical Mathematics

Advanced Computational Approaches for Rarefied Flows

Beyond Navier-Stokes

Chapman & Hall/CRC Texts in Statistical Science

Aimed at a nontechnical audience, with intuitive explanations instead of mathematical derivations, Analysis of Longitudinal Studies in Epidemiology covers a wide range of topics that include Poisson regression, survival analysis, repeated measure, clustered data, longitudinal observations, and generalized linear models such as logistic regression. The book illustrates examples through extensive case studies, placing particular emphasis on the extension of simple cross-sectional methods and exploring how they can be adapted to longitudinal settings. It also explains the importance of time-dependent confounding and introduces methods including inverse probability weighted estimators.

Analysis of Longitudinal Studies in Epidemiology

This book investigates in detail the emerging deep learning (DL) technique in computational physics, assessing its promising potential to substitute conventional numerical solvers for calculating the fields in real-time. After good training, the proposed architecture can resolve both the forward computing and the inverse retrieve problems.

Deep Learning-Based Forward Modeling and Inversion Techniques for Computational Physics Problems

Provides an introduction to research methods as applied to the unique needs of palliative, supportive, and end-of-life care, covering methodological theory, design, measures, and practice and case examples.

Research Methods in Palliative, Supportive, and End-of-Life Care

This book provides a comprehensive introduction to the current state-of-the-art in skin cancer, exploring the recent developments, appraising the current evidence and providing future directions with particular emphasis on interdisciplinary collaboration and need for clinical trials.

Essentials for Oncologists

Non-melanoma Skin Cancer

Artificial Intelligence and Machine Learning for Intelligent Engineering Systems

This book serves as an insightful resource for understanding the transformative role of AI in optimizing design processes across a variety of fields. It explores foundational concepts, advanced methodologies, and real-world applications, offering a comprehensive guide to leveraging AI for innovative design solutions.

Design Optimization Using Artificial Intelligence

Demonstrates how to calculate these metrics to compare the health status of different countries and explores the world of infectious diseases. Tests various machine learning tools for analyzing trends and relationships among key variables, aiming to prevent unexpected outcomes.

Machine Learning Applications and Spatial Modelling Analysis with R

Health Metrics and the Spread of Infectious Diseases

The Science of Scaling Revenue

Chapman & Hall/CRC The R Series

Copula additive distributional regression enables the joint modeling of multiple outcomes, an essential aspect of many real-world research problems. This book provides an accessible overview of this modeling approach, with a particular focus on its implementation in the GJRM R package

Copula Additive Distributional Regression Using R

Fundamentals of Practical Reliability Engineering

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