Correspondence Analysis

Master the fundamentals of correspondence analysis with this illuminating resource An Introduction to Correspondence Analysis assists researchers in improving their familiarity with the concepts, terminology, and application of several variants of correspondence analysis. The accomplished academics and authors deliver a comprehensive and insightful treatment of the fundamentals of correspondence analysis, including the statistical and visual aspects of the subject. Written in three parts, the book begins by offering readers a description of two variants of correspondence analysis that can be applied to two-way contingency tables for nominal categories of variables. Part Two shifts the discussion to categories of ordinal variables and demonstrates how the ordered structure of these variables can be incorporated into a correspondence analysis. Part Three describes the analysis of multiple nominal categorical variables, including both multiple correspondence analysis and multi-way correspondence analysis. Readers will benefit from explanations of a wide variety of specific topics, for example: Simple correspondence analysis, including how to reduce multidimensional space, measuring symmetric associations with the Pearson Ratio, constructing low-dimensional displays, and detecting statistically significant points Non-symmetrical correspondence analysis, including quantifying asymmetric associations Simple ordinal correspondence analysis, including how to decompose the Pearson Residual for ordinal variables Multiple correspondence analysis, including crisp coding and the indicator matrix, the Burt Matrix, and stacking Multi-way correspondence analysis, including symmetric multi-way analysis Perfect for researchers who seek to improve their understanding of key concepts in the graphical analysis of categorical data, An Introduction to Correspondence Analysis will also assist readers already familiar with correspondence analysis who wish to review the theoretical and foundational underpinnings of crucial concepts.

Risk Analysis, Second Edition Terje Aven, University of Stavanger, Norway A practical guide to the varied challenges presented in the ever-growing field of risk analysis. Risk Analysis presents an accessible and concise guide to performing risk analysis, in a wide variety of field, with minimal prior knowledge required. Forming an ideal companion volume to Aven's previous Wiley text Foundations of Risk Analysis, it provides clear recommendations and guidance in the planning, execution anduse of risk analysis. This new edition presents recent developments related to risk conceptualization, focusing on related issues on risk assessment and their application. New examples are also featured to clarify the reader's understanding in the application of risk analysis and the risk analysis process. Key features: Fully updated to include recent developments related to risk conceptualization and related issues on risk assessments and their applications. Emphasizes the decision making context of risk analysis rather than just computing probabilities Demonstrates how to carry out predictive risk analysis using a variety of case studies and examples. Written by an experienced expert in the field, in a style suitable for both industrial and academic audiences. This book is ideal for advanced undergraduates, graduates, analysts and researchers from statistics, engineering, finance, medicine and physical sciences. Managers facing decision making problems involving risk and uncertainty will also benefit from this book.

Everyday we face decisions that carry an element of risk and uncertainty. The ability to analyze, predict, and prepare for the level of risk entailed by these decisions is, therefore, one of the most constant and vital skills needed for analysts, scientists and managers. Risk analysis can be defined as a systematic use of information to identify hazards, threats and opportunities, as well as their causes and consequences, and then express risk. In order to successfully develop such a systematic use of information, those analyzing the risk need to understand the fundamental concepts of risk analysis and be proficient in a variety of methods and techniques. Risk Analysis adopts a practical, predictive approach and guides the reader through a number of applications. Risk Analysis: Provides an accessible and concise guide to performing risk analysis in a wide variety of fields, with minimal prior knowledge required. Adopts a broad perspective on risk, with focus on predictions and highlighting uncertainties beyond expected values and probabilities, allowing a more flexible approach than traditional statistical analysis. Acknowledges that expected values and probabilities could produce poor predictions – surprises may occur. Emphasizes the planning and use of risk analyses, rather than just the risk analysis methods and techniques, including the statistical analysis tools. Features many real-life case studies from a variety of applications and practical industry problems, including areas such as security, business and economy, transport, oil & gas and ICT (Information and Communication Technology). Forms an ideal companion volume to Aven’s previous Wiley text Foundations of Risk Analysis. Professor Aven’s previous book Foundations of Risk Analysis presented and discussed several risk analysis approaches and recommended a predictive approach. This new text expands upon this predictive approach, exploring further the risk analysis principles, concepts, methods and models in an applied format. This book provides a useful and practical guide to decision-making, aimed at professionals within the risk analysis and risk management field.

A self-contained introduction to the fundamentals of mathematical analysis Mathematical Analysis: A Concise Introduction presents the foundations of analysis and illustrates its role in mathematics. By focusing on the essentials, reinforcing learning through exercises, and featuring a unique «learn by doing» approach, the book develops the reader's proof writing skills and establishes fundamental comprehension of analysis that is essential for further exploration of pure and applied mathematics. This book is directly applicable to areas such as differential equations, probability theory, numerical analysis, differential geometry, and functional analysis. Mathematical Analysis is composed of three parts: ?Part One presents the analysis of functions of one variable, including sequences, continuity, differentiation, Riemann integration, series, and the Lebesgue integral. A detailed explanation of proof writing is provided with specific attention devoted to standard proof techniques. To facilitate an efficient transition to more abstract settings, the results for single variable functions are proved using methods that translate to metric spaces. ?Part Two explores the more abstract counterparts of the concepts outlined earlier in the text. The reader is introduced to the fundamental spaces of analysis, including Lp spaces, and the book successfully details how appropriate definitions of integration, continuity, and differentiation lead to a powerful and widely applicable foundation for further study of applied mathematics. The interrelation between measure theory, topology, and differentiation is then examined in the proof of the Multidimensional Substitution Formula. Further areas of coverage in this section include manifolds, Stokes' Theorem, Hilbert spaces, the convergence of Fourier series, and Riesz' Representation Theorem. ?Part Three provides an overview of the motivations for analysis as well as its applications in various subjects. A special focus on ordinary and partial differential equations presents some theoretical and practical challenges that exist in these areas. Topical coverage includes Navier-Stokes equations and the finite element method. Mathematical Analysis: A Concise Introduction includes an extensive index and over 900 exercises ranging in level of difficulty, from conceptual questions and adaptations of proofs to proofs with and without hints. These opportunities for reinforcement, along with the overall concise and well-organized treatment of analysis, make this book essential for readers in upper-undergraduate or beginning graduate mathematics courses who would like to build a solid foundation in analysis for further work in all analysis-based branches of mathematics.

Cluster analysis comprises a range of methods for classifying multivariate data into subgroups. By organizing multivariate data into such subgroups, clustering can help reveal the characteristics of any structure or patterns present. These techniques have proven useful in a wide range of areas such as medicine, psychology, market research and bioinformatics. This fifth edition of the highly successful Cluster Analysis includes coverage of the latest developments in the field and a new chapter dealing with finite mixture models for structured data. Real life examples are used throughout to demonstrate the application of the theory, and figures are used extensively to illustrate graphical techniques. The book is comprehensive yet relatively non-mathematical, focusing on the practical aspects of cluster analysis. Key Features: • Presents a comprehensive guide to clustering techniques, with focus on the practical aspects of cluster analysis. • Provides a thorough revision of the fourth edition, including new developments in clustering longitudinal data and examples from bioinformatics and gene studies • Updates the chapter on mixture models to include recent developments and presents a new chapter on mixture modeling for structured data. Practitioners and researchers working in cluster analysis and data analysis will benefit from this book.

SPATIAL ANALYSIS Explore the foundations and latest developments in spatial statistical analysis In Spatial Analysis, two distinguished authors deliver a practical and insightful exploration of the statistical investigation of the interdependence of random variables as a function of their spatial proximity. The book expertly blends theory and application, offering numerous worked examples and exercises at the end of each chapter. Increasingly relevant to fields as diverse as epidemiology, geography, geology, image analysis, and machine learning, spatial statistics is becoming more important to a wide range of specialists and professionals. The book includes: Thorough introduction to stationary random fields, intrinsic and generalized random fields, and stochastic models Comprehensive exploration of the estimation of spatial structure Practical discussion of kriging and the spatial linear model Spatial Analysis is an invaluable resource for advanced undergraduate and postgraduate students in statistics, data science, digital imaging, geostatistics, and agriculture. It’s also an accessible reference for professionals who are required to use spatial models in their work.

Revised and updated, this third edition of Barbara Johnstone’s Discourse Analysis encourages students to think about discourse analysis as an open-ended set of techniques. Exploring a variety of approaches, including critical discourse analysis, conversation analysis, interactional and variationist sociolinguistics, ethnography, corpus linguistics, social semiotics, and other qualitative and quantitative methods, the book balances its comprehensive coverage with extensive practical examples, making it the ideal introductory text for students new to the subject. This new edition reflects the increased importance within the field of new media discourse, multi-modal discourse and the analysis of large corpora of discourse data. Updated material expands the discussion of stancetaking, whilst new material addresses recontextualization, precontextualization, and language and the body. Pedagogical features have been refreshed, including discussion questions, exercises, and ideas for small research projects, with suggested supplementary readings at the end of each chapter to encourage further discovery. Chapters in this book are self-contained, so they can be handled in any order Suggested supplementary readings are featured at the end of every chapter Book is written specifically for a non-specialist, interdisciplinary audience Examples of computer-aided corpus analysis (reflecting the improvements made to theories and tools) supplement every chapter Discussion questions and ideas for small research projects are interspersed throughout The combination of breadth of coverage, practical examples, and student-friendly pedagogical features ensures Discourse Analysis remains the ideal textbook for students taking their first course in linguistic approaches to discourse.

The latest edition goes beyond ho-hum analysis techniques and provides concrete problem solving. The text is sprinkled with real-world problems (and the analytical tools to solve them) that will be familiar to accounting professionals everywhere. A must-have for anyone looking to improve their company's decision making . . . and their own role in it. —George R. MacEachern President, Grosvenor Financial Services «Steve Bragg has presented yet another comprehensive reference tool for the finance professional. Financial Analysis: A Controller's Guide is the perfect reference guide for today's controller, presenting not only traditional financial analysis information, but also various types of analyses that will benefit any type of organization. This book is a must-have for any financial professional desiring to make a relevant contribution to his/her organization.» —Jodi Nefzger, CPP Director of Finance, Masonic Home of Missouri Today's proactive controllers can soar past their mundane responsibilities and become active participants in their corporation's success with the visionary tools found in Steven Bragg's Financial Analysis: A Controller's Guide, Second Edition. Now updated to include analyses of intangible asset measurement and performance improvement as well as evaluation methods to determine which products and services should be eliminated, Financial Analysis: A Controller's Guide, Second Edition helps financial managers upgrade their skills so they can answer their organization's call for company operations reviews, investment evaluations, problem reporting, and special investigation requests. Controllers prepared to address this growing need for more innovative financial analysis will open doors to a variety of promotions and high-level interactions with other departments. Become a highly valued member of your company's infrastructure with the indispensable tools found in Financial Analysis: A Controller's Guide, Second Edition.

The new edition of the popular introductory analytical chemistry textbook, providing students with a solid foundation in all the major instrumental analysis techniques currently in use    The third edition of  Chemical Analysis: Modern Instrumentation Methods and Techniques  provides an up-to-date overview of the common methods used for qualitative, quantitative, and structural chemical analysis. Assuming no background knowledge in the subject, this student-friendly textbook covers the fundamental principles and practical aspects of more than 20 separation and spectroscopic methods, as well as other important techniques such as elemental analysis, electrochemistry and isotopic labelling methods.  Avoiding technical complexity and theoretical depth, clear and accessible chapters explain the basic concepts of each method and its corresponding instrumental techniques—supported by explanatory diagrams, illustrations, and photographs of commercial instruments. The new edition includes revised coverage of recent developments in supercritical fluid chromatography, capillary electrophoresis, miniaturized sensors, automatic analyzers, digitization and computing power, and more. Offering a well-balanced introduction to a wide range of analytical and instrumentation techniques, this textbook:  Provides a detailed overview of analysis methods used in the chemical and agri-food industries, medical analysis laboratories, and environmental sciences Covers various separation methods including chromatography, electrophoresis and electrochromatography Describes UV and infrared spectroscopy, fluorimetry and chemiluminescence, x-ray fluorescence, nuclear magnetic resonance and other common spectrometric methods such atomic or flame emission, atomic absorption and mass spectrometry Includes concise overview chapters on the general aspects of chromatography, sample preparation strategies, and basic statistical parameters Features examples, end-of-chapter problems with solutions, and a companion website featuring PowerPoint slides for instructors  Chemical Analysis: Modern Instrumentation Methods and Techniques, Third Edition , is the perfect textbook for undergraduates taking introductory courses in instrumental analytical chemistry, students in chemistry, pharmacy, biochemistry, and environmental science programs looking for information on the techniques and instruments available, and industry technicians working with problems of chemical analysis.  Review of Second Edition :  “An essential introduction to a wide range of analytical and instrumentation techniques that have been developed and improved in recent years.”  – International Journal of Environmental and Analytical Chemistry