Functional Analysis Methods for Reliability Models

Analyzing business models in today's financialized world requires an understanding of strategic management, finance and accounting which can be demanding. This book helps students and managers to thin

Stochastic modeling facilitates an understanding of natural phenomena depicted in medical anatomical and functional (dynamic) MRI and CT images. This textbook details efficient stochastic modeling tec

Risk assessment and risk analysis are now firmly fixed in the lexicon of biostatisticians and engineers alike. Reliability is the other key element in the mix for smooth-running projects. Statistical

This expert guide to the entire process of data analysis offers non-specialists a user-friendly introduction using real-life examples. It takes readers from hypothesis generation to the techniques inv

This book constitutes the refereed proceedings of the International Conference on Modern Probabilistic Methods for Analysis of Telecommunication Networks, Belarusian Winter Workshop in Queueing Theory

The collection covers perspectives on the Internet as a social space; research models for the Internet and the skills, techniques and approaches needed to conduct research in a virtual environment; in

Edited by an internationally renowned expert in the field, this practical handbook covers all important methods for organic surface characterization, including x-ray photoelectron and x-ray absorption

Zar’s Biostatistical Analysis, Fifth Edition, is the ideal book for readers seeking practical coverage of statistical analysis methods used by researchers to collect, summarize, analyze and draw concl

The tools needed to make a better, more informed decision.Decision analysis (DA) is the logic of making a decision using quantitative models of the decider's factual and value judgments. DA is already

This book provides the most comprehensive treatment to date of microeconometrics, the analysis of individual-level data on the economic behavior of individuals or firms using regression methods for cross section and panel data. The book is oriented to the practitioner. A basic understanding of the linear regression model with matrix algebra is assumed. The text can be used for a microeconometrics course, typically a second-year economics PhD course; for data-oriented applied microeconometrics field courses; and as a reference work for graduate students and applied researchers who wish to fill in gaps in their toolkit. Distinguishing features of the book include emphasis on nonlinear models and robust inference, simulation-based estimation, and problems of complex survey data. The book makes frequent use of numerical examples based on generated data to illustrate the key models and methods. More substantially, it systematically integrates into the text empirical illustrations based on s

Provides a description of an aerodynamic design and analysis system for axial flow compressors. This book describes the basic fluid dynamic and thermodynamic principles, empirical models and numerical

This two-volume handbook uniquely brings together information on the key methodologies used in the analysis of agrochemical residues and current best practices, while also giving numerous examples of

Qualitative research (QR) is the method of inquiry that seeks to understand social phenomena within the context of the participants' perspectives and experiences. The research methods of QR are more f

This long-awaited two-volume book examines how the interplay of ideas and actions applied to environmental problems has laid the foundations for global environmental management. It looks at how ideas,

Provides a grounding in the experimental techniques applicable to the discipline of biotechnology. The introductory section in the text describes procedures for analysis of inorganic and organic mater

This book provides an overview of meta-analysis methodology to prepare students and researchers to conduct high quality meta-analyses of public health and medical studies. The methods are supported by

Contributions to this edition of Computer Methods have been extensively revised and contain much new material-updating the proceedings of a conference held in 1964 at the Joint Center for Urban Studie

The availability of packaged clustering programs means that anyone with data can easily do cluster analysis on it. But many users of this technology don't fully appreciate its many hidden dangers. In today's world of "grab and go algorithms," part of my motivation for writing this book is to provide users with a set of cautionary tales about cluster analysis, for it is very much an art as well as a science, and it is easy to stumble if you don't understand its pitfalls.Indeed, it is easy to trip over them even if you do! The parenthetical word usually in the title is very important, because all clustering algorithms can and do fail from time to time. Modern cluster analysis has become so technically intricate that it is often hard for the beginner or the non-specialist to appreciate and understand its many hidden dangers. Here's how Yogi Berra put it, and he was right:In theory there's no difference between theory and practice.In practice, there is ~Yogi BerraThis book is a step backwa

Prestressing concrete technology is critical to understanding problems in existing civic structures including railway and highway bridges; to the rehabilitation of older structures; and to the design of new high-speed railway and long-span highway bridges. Analysis and Design of Prestressed Concrete delivers foundational concepts, and the latest research and design methods for the engineering of prestressed concrete, paying particular attention to crack resistance in the design of high-speed railway and long-span highway prestressed concrete bridges. The volume offers readers a comprehensive resource on prestressing technology and applications, as well as the advanced treatment of prestress losses and performance. Key aspects of this volume include analysis and design of prestressed concrete structures using a prestressing knowledge system, from initial stages to service; detailed loss calculation; time-dependent analysis on cross-sectional stresses; straightforward, simplified methods

Introduction to Intelligence: Institutions, Operations, and Analysis offers you a strategic, international, and comparative approach to covering intelligence organizations and domestic security issues. Written by multiple authors, each chapter draws on the author's professional and scholarly expertise in the subject matter. As a core text for an introductory survey course in intelligence, this text provides you with a comprehensive introduction to intelligence, including institutions and processes, collection, communications, and common analytic methods.

Many machine learning algorithms require real-valued feature vectors of data instances as inputs. By projecting data into vector spaces, representation learning techniques have achieved promising performance in many areas such as computer vision and natural language processing. There is also a need to learn representations for discrete relational data, namely networks or graphs. Network Embedding (NE) aims at learning vector representations for each node or vertex in a network to encode the topologic structure. Due to its convincing performance and efficiency, NE has been widely applied in many network applications such as node classification and link prediction.This book provides a comprehensive introduction to the basic concepts, models, and applications of network representation learning (NRL). The book starts with an introduction to the background and rising of network embeddings as a general overview for readers. Then it introduces the development of NE techniques by presenting se

Packed with hands-on applications, Babbie's THE PRACTICE OF SOCIAL RESEARCH, 15th Edition, equips your students with the tools they need to practically apply research concepts as both researchers and consumers. Known as the "gold standard" for research methods, the text delivers a comprehensive, straightforward introduction to the field of research as practiced by social scientists. Dr. Babbie emphasizes the research process by showing students how to design and construct projects, introducing the various observation modes in use today. The new edition includes "What do you think?" puzzles that immediately draw students into chapter concepts. General Social Survey data is updated throughout while new coverage includes the global use of social research, the emerging role of big data, demographic analysis and more. Also available: MindTap digital learning solution.

With an emphasis on experimental design and sampling, The Analysis of Ecological Data Using R presents all of the necessary statistical methods along with the ecological background for each problem. E

Introduces engineering students to the basic techniques for analyzing the most common structural elements, including: beams, trusses, frames, cables, and arches. This book covers classical methods of

The book provides a self-contained treatment of stochastic finite element methods. It helps the reader to establish a solid background on stochastic and reliability analysis of structural systems and

This detailed volume provides thorough protocols describing how to use genetics to study mouse and zebrafish erythropoiesis in whole animal models and for genetically manipulating cultured mouse and h

This book presents computational methods for extracting the useful information from audio signals, collecting the state of the art in the field of sound event and scene analysis. The authors cover the

Featuring a detailed analysis of current approval requirements and the relevant safety assessment methods for gas cylinders in general and with main focus on composite cylinders for storing compressed

This book is intended to read like a handbook for regression methods. It provides a broad survey of both standard and non-standard regression models and topics. Thus, the treatment includes topics tha

This book highlights the methods and applications for roadside video data analysis, with a particular focus on the use of deep learning to solve roadside video data segmentation and classification pro

This book covers methods for evaluation of experimental data commonly encountered in science and engineering. Measurements of quantities that vary in a continuous fashion, e.g., the pressure of a gas,

This book describes the various methods used for exploratory data analysis with an emphasis on MATLAB implementation. It covers approaches for visualizing data, data tours and animations, clustering (

This book covers the application of the OCRA (Occupational Repetitive Actions) method. The methods make up a system dedicated to the analysis and management of the risk of biomechanical overload of th

This is a companion textbook for an introductory course in physics. It aims to link the theories and models that students learn in class with practical problem-solving techniques. In other words, it s

Language learning research aims to describe and fully explain how and why language learning takes place, but can fall short of its stated purpose. Systematic, rigorous research is needed if the growing field of language learning is to progress methodically. This book demonstrates and fully explains such a methodology. Given that research in language acquisition yields practical pedagogical implications, it is crucial that it is rigorous and accurate.This book offers a quantitative research methodology that relies on statistical analysis in order to make inferences and conclusions about language learning. Experimental research aims to understand differences between or within groups of learners under manipulated environments. It requires strict control of conditions, enabling interpretations with a low factor of error. Aek Phakiti provides step-by-step guidelines and underlying principles, epistemology and methodology, in a book that is essential for advanced students of language acquisi

In Abductive Analysis, Iddo Tavory and Stefan Timmermans provide a new navigational map for theorizing qualitative research. They outline a way to think about observations, methods, and theories that

This book provides a systematic, foundational introduction to automatic alignment of parallel texts, a family of essential corpus analysis techniques for computing and learning the mappings between co

There is substantial interest in the application of different statistical methods to model and understand population genetic data. This book aims to fill the vacant niche in books dealing with the app