Естественные науки

Modern science is at a tipping point. A new page in the history of knowledge opens with the “information paradigm”, a notion which is gradually suppla…

Survival analysis concerns sequential occurrences of events governed by probabilistic laws. Recent decades have witnessed many applications of surviva…

This book is designed to provide the theoretical, but most of all, the practical bases needed for the achievement of atmospheric composition analyses …

There has long been a strong collaboration between geologists and archaeologists, and the sub-field of geoarchaeology is well developed as a disciplin…

Applies basic field behavior in circuit design and demonstrates how it relates to grounding and shielding requirements and techniques in circuit desig…

This timely anthology brings together for the first time the most important ancient, medieval, Enlightenment, and modern scholarship for a complete an…

Written by a team of international experts, Extremes and Recurrence in Dynamical Systems presents a unique point of view on the mathematical theory of…

This modern textbook offers an introduction to Quantum Mechanics as a theory that underlies the world around us, from atoms and molecules to materials…

A self-contained introduction to matrix analysis theory and applications in the field of statistics Comprehensive in scope, Matrix Algebra for Linear …

Features a solid foundation of mathematical and computational tools to formulate and solve real-world PDE problems across various fields With a step-b…

Provides a one-stop resource for engineers learning biostatistics using MATLAB® and WinBUGS Through its scope and depth of coverage, this book address…

Over the last century, energy storage systems (ESSs) have continued to evolve and adapt to changing energy requirements and technological advances. En…

Stochastic Numerical Methods introduces at Master level the numerical methods that use probability or stochastic concepts to analyze random processes.…

A mathematical introduction to the theory and applications of logic and set theory with an emphasis on writing proofs Highlighting the applications an…

A comprehensive introduction to statistical methods for data mining and knowledge discovery. Applications of data mining and ‘big data’ increasingly t…

A reference to answer all your statistical confidentiality questions. This handbook provides technical guidance on statistical disclosure control and …

Describes statistical intervals to quantify sampling uncertainty,focusing on key application needs and recently developed methodology in an easy-to-ap…

Computers are ubiquitous throughout all life-cycle stages of engineering, from conceptual design to manufacturing maintenance, repair and replacement.…

A modern approach to statistical learning and its applications through visualization methods With a unique and innovative presentation, Multivariate N…

Using a case study approach, this reference tests the reader’s ability to apply engineering fundamentals to real-world examples and receive constructi…

Computational mechanics is the discipline concerned with the use of computational methods to study phenomena governed by the principles of mechanics. …

Probabilistic Finite Element Model Updating Using Bayesian Statistics: Applications to Aeronautical and Mechanical Engineering Tshilidzi Marwala and I…

Human adaptation under cold or hot temperatures has always required specific fabrics for clothing. Sports or protective garment companies propose to i…

A key resource and framework for assessing the performance of competing entities, including forecasting models Advances in DEA Theory and Applications…

This book presents research work into the reliability of drinking water pipes. The infrastructure of water pipes is susceptible to routine failures, n…

An extensive update to a classic text Stochastic geometry and spatial statistics play a fundamental role in many modern branches of physics, materials…

This book summarizes the results of various models under normal theory with a brief review of the literature. Statistical Inference for Models with Mu…

This book is part of a set of books which offers advanced students successive characterization tool phases, the study of all types of phase (liquid, g…

This new, updated and enlarged edition of the successful and exceptionally well-structured textbook features new chapters on such hot topics as optica…

This is the first text to examine the use of statistical methods in forensic science and bayesian statistics in combination. The book is split into tw…

This book concerns testing hypotheses in non-parametric models. Generalizations of many non-parametric tests to the case of censored and truncated dat…

Comprehensively covers geothermal energy systems that utilize ground energy in conjunction with heat pumps to provide sustainable heating and cooling …

In the 21st Century, the world will see an unprecedented migration of people moving from rural to urban areas. With global demand for water projected …

This book aims to promote regression methods for analyzing lifetime (or time-to-event) data that are based on a representation of the underlying proce…

This book covers both the practical and theoretical aspects of catastrophe modelling for insurance industry practitioners and public policymakers. Wri…

This two-volume work covers ultrafast structural and electronic dynamics of elementary processes at solid surfaces and interfaces, presenting the curr…

2017 PROSE Award Honorable Mention The PROSE Awards draw attention to pioneering works of research and for contributions to the conception, production…

This introductory book covers the most fundamental aspects of linear vibration analysis for mechanical engineering students and engineers. Consisting …

Arun K. Banerjee is one of the foremost experts in the world on the subject of flexible multibody dynamics. This book describes how to build mathermat…

Assessment Methods in Statistical Education: An International Perspective provides a modern, international perspective on assessing students of statis…

This statistics textbook, with particular emphasis on radiation protection and dosimetry, deals with statistical solutions to problems inherent in hea…

Clear, integrated coverage of all aspects of nonlinear optics—phenomena, materials, and devices Coauthored by George Stegeman, one of the most highly …

This book provides an introduction to basic thermodynamic engine cycle simulations, and provides a substantial set of results. Key features includes c…

Substation Automation Systems: Design and Implementation aims to close the gap created by fast changing technologies impacting on a series of legacy p…

This book uses the EM (expectation maximization) algorithm to simultaneously estimate the missing data and unknown parameter(s) associated with a data…