Inference for Functional Data With Applications

Here is the ideal field guide for data warehousing implementation. This book first teaches you how to build a data warehouse, including defining the architecture, understanding the methodology, gather

Serving as a user's manual for synthetic organic and catalytic chemists, this book guides chemists in the design and choice of ligands to catalyze organic reactions and apply the results for more effi

Big Data is a growing business trend, but there little advice available on how to use it practically. Written by a data mining expert with over 30 years of experience, this book uses case studies to h

This book present the principles of cloud computing security. From a definition of terms to key issues for service contracts, it's a must-have companion for anyone charged with protecting cloud-based

Social network analysis applications have experienced tremendous advances within the last few years due in part to increasing trends towards users interacting with each other on the internet. Social n

If you are planning to create data analysis and visualization tools in the context of science, engineering, economics, or social science, then this book is for you. With this book, you will become a v

How can a scalable and efficient quality management mechanism for cloud labor services be designed in a way that it delivers results with a well-defined level of quality to the requester?Cloud labor s

This book contains reviews of recent experimental and theoretical results related to nanomaterials. It focuses on novel functional materials and nanostructures in combination with silicon on insulator

"Although they are less widely known than other models, combinatorial maps are very powerful data structures and can be useful in many applications, including computer graphics and image processing. T

The recent financial crisis has heightened the need for appropriate methodologies for managing and monitoring complex risks in financial markets. The measurement, management, and regulation of risks in portfolios composed of credits, credit derivatives, or life insurance contracts is difficult because of the nonlinearities of risk models, dependencies between individual risks, and the several thousands of contracts in large portfolios. The granularity principle was introduced in the Basel regulations for credit risk to solve these difficulties in computing capital reserves. In this book, authors Patrick Gagliardini and Christian Gouriéroux provide the first comprehensive overview of the granularity theory and illustrate its usefulness for a variety of problems related to risk analysis, statistical estimation, and derivative pricing in finance and insurance. They show how the granularity principle leads to analytical formulas for risk analysis that are simple to implement and accurate e

The recent financial crisis has heightened the need for appropriate methodologies for managing and monitoring complex risks in financial markets. The measurement, management, and regulation of risks in portfolios composed of credits, credit derivatives, or life insurance contracts is difficult because of the nonlinearities of risk models, dependencies between individual risks, and the several thousands of contracts in large portfolios. The granularity principle was introduced in the Basel regulations for credit risk to solve these difficulties in computing capital reserves. In this book, authors Patrick Gagliardini and Christian Gouriéroux provide the first comprehensive overview of the granularity theory and illustrate its usefulness for a variety of problems related to risk analysis, statistical estimation, and derivative pricing in finance and insurance. They show how the granularity principle leads to analytical formulas for risk analysis that are simple to implement and accurate e

Applied data-centric social sciences aim to develop both methodology and practical applications of various fields of social sciences and businesses with rich data. Specifically, in the social sciences

This book covers an approach to conversational informatics which encompasses science and technology for understanding and augmenting conversation in the network age. A major challenge in engineering i

From the multi-award winning editorial team of G. Robert Odette (UCSB) and Steve Zinkle (ORNL), with a contributor board drawn exclusively from the leaders of each alloy discipline, Structural Alloys

Provides information on designing and building effective enterprise solutions, covering such topics as UML, the business layer, the service layer, and the data access layer.

Design and Applications of Nano materials for Sensors begins with an introductory contribution by the editors that: gives an overview of the present state of computational and theoretical methods for

One of the first to do so, this book integrates the major approaches to APC analysis for aggregate-level data, such as uniform crime reports, vital statistics, and census data. It connects the traditi

Since the importance of nonparametric methods in modern statistics continues to grow, it is important to provide effective, simple and user friendly instruments for applying these methods.

This is a textbook for a second course on differential equations or mathematical modeling after a student has obtained a background in multivariable calculus and possibly a first course on differentia

"This book focuses on cloud technologies that could affect quality in the healthcare field, with experts presenting their knowledge and contributions to the demystification of healthcare in the Cloud"

This entry-level text offers clear and concise guidelines on how to select, construct, interpret, and evaluate count data. Written for researchers with little or no background in advanced statistics, the book presents treatments of all major models using numerous tables, insets, and detailed modeling suggestions. It begins by demonstrating the fundamentals of modeling count data, including a thorough presentation of the Poisson model. It then works up to an analysis of the problem of overdispersion and of the negative binomial model, and finally to the many variations that can be made to the base count models. Examples in Stata, R, and SAS code enable readers to adapt models for their own purposes, making the text an ideal resource for researchers working in health, ecology, econometrics, transportation, and other fields.

This entry-level text offers clear and concise guidelines on how to select, construct, interpret, and evaluate count data. Written for researchers with little or no background in advanced statistics, the book presents treatments of all major models using numerous tables, insets, and detailed modeling suggestions. It begins by demonstrating the fundamentals of modeling count data, including a thorough presentation of the Poisson model. It then works up to an analysis of the problem of overdispersion and of the negative binomial model, and finally to the many variations that can be made to the base count models. Examples in Stata, R, and SAS code enable readers to adapt models for their own purposes, making the text an ideal resource for researchers working in health, ecology, econometrics, transportation, and other fields.

Shavers contributes to the current debate on whether there is a need for an explicit legal recognition of hate crime in the German Penal Code by examining findings from the current criminal treatment

The increasing demand for materials which enable a more efficient energy conversion - materials allowing higher operating temperatures and a lower weight of the components with preferably better corrosion resistance- has put intermetallic-based alloys back into focus. For example, the recent use of light weight, TiAl-based alloys for automotive and aerospace applications has spurred research on other intermetallic-based alloys. In addition to structural intermetallics for extreme environments encountered in advanced energy systems, this book also focuses on fundamental and interdisciplinary aspects of novel intermetallic-metal systems (e.g., Co-based superalloys) and functional intermetallics that can store energy, generate power and enhance reliability. Topics include: intermetallics for hydrogen storage and thermoelectric applications; iron aluminides - physical metallurgy; titanium aluminides - physical metallurgy; titanium aluminides - structure, properties and coatings; iron alum

Designed for those who want to gain a practical knowledge of modern computational techniques for the numerical solution of linear algebra problems, this book contains all the material necessary for a

Sensors for civil infrastructure performance assessment and health monitoring have evolved significantly over the past decade with advances through high speed and low-cost electronic circuits, advance

Variational Regularization of 3D Data provides an introduction to variational methods for data modelling and its application in computer vision. In this book, the authors identify interpolation as an

R is a powerful language for statistical computing and graphics that can handle virtually any data-crunching task. It runs on all important platforms and provides thousands of useful specialized modu

"Traditional, low-dimensional, small scale data have been successfully dealt with using conventional software engineering and classical statistical methods, such as discriminant analysis, neural netwo

Part of a new series of books for engineers and scientists who are taking advanced mathematics courses, this work presents differential equations from an applied point of view. Like the other volumes

The Institute of Group Analysis (IGA) celebrates forty years since its foundation with the publication of these two volumes. The first volume publicizes the foundations of group analysis (with the ear

This book offers a comprehensive review of the latest advances in developing functional electrospun nanofibers for energy and environmental applications, which include fuel cells, lithium-ion batterie

With a focus on practical applications of biophysical techniques, this book links fundamental biophysics to the process of biopharmaceutical development.‧ Helps formulation and analytical scientists i

Renowned for its student-friendly writing style and fresh perspective, this fully updated Third Edition of John McMurry's ORGANIC CHEMISTRY WITH BIOLOGICAL APPLICATIONS provides full coverage of the f

With the growing popularity of the Semantic Web, more and more semantic data and data sources become available and accessible for everyone. By establishing semantic links between the data, answers to

Code and Methods for Creating High-Quality Data GraphicsA data graphic is not only a static image, but it also tells a story about the data. It activates cognitive processes that are able to detect pa

This book provides an overview of technologies to maximize the quality of user experience for mobile, data-centric applications. Chapters cover techniques mobile network operators can use to maximize

This book introduces resource aware image decomposition, registration, fusion, object detection and tracking algorithms along with their applications in security, monitoring and integration in 3rd Gen

Although there are many books that address security issues, most do not explain how to incorporate security into the building process. This book does exactly that. It supplies step-by-step guidance on

This book presents current progress on challenges related to Big Data management by focusing on the particular challenges associated with context-aware data-intensive applications and services. The bo