This book tears down the omnipresent language barriers among molecular biology, bioinformatics, and biostatistics researchers by explaining the entire process of a gene expression study from conception to interpretation. It covers important technical and statistical pitfalls and problems, helping not only to explain concepts outside the domain of researchers, but to provide additional guidance in their field of expertise. The book also describes technical and statistical methods conceptually with illustrative examples, enabling those inexperienced with gene expression studies to grasp the basic principles.
• Chapman & Hall/CRC Mathematical & Computational Biology
Bioinformatics
Molecular Biology
Reference
Professional

Focusing on the roles of different segments of DNA, this book provides a basic understanding of problems arising in the analysis of genetics and genomics. With many worked examples and end-of-chapter exercises, it presents statistical applications in genetic mapping, DNA/protein sequence alignment, and analyses of gene expression data from microarray experiments. The text covers basic molecular biology, likelihood-based statistics, physical mapping, markers, linkage analysis, parametric and nonparametric linkage, sequence alignment, feature recognition, hidden Markov models, and Bayesian approaches. It also discusses differential gene expression detection as well as classification and cluster analysis using gene expression data sets.
• Chapman & Hall/CRC Texts in Statistical Science
Bioinformatics
Genetics
Textbook
Undergraduate

Giving a broad perspective of the field from numerous vantage points, Text Mining focuses on statistical methods for text mining and analysis. It examines methods to automatically cluster and classify text documents and applies these methods in a variety of areas, including adaptive information filtering, information distillation, and text search. The book begins with the classification of documents into predefined categories and then describes novel methods for clustering documents into groups that are not predefined. It concludes with various text mining applications that have significant implications for future research and industrial use.
• Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
Data Preparation & Mining
Machine Learning
Reference
Professional

Focusing on both private- and public-key cryptographic algorithms, this book describes algorithmic methods with cryptographically relevant examples. After introducing modern cryptography and elementary number theory and algebra, it covers linear algebra, sieving, brute force, algorithms based on the birthday paradox, Hadamard–Fourier–Walsh transforms, lattice reduction, and Gröbner bases. The author also presents advanced applications, such as LFSR-based stream ciphers, lattice methods for cryptanalysis, elliptic curves, and index calculus methods. He includes some hints and solutions to the exercises as well as C code on http://www.joux.biz/algcrypt/
• Chapman & Hall/CRC Cryptography and Network Security Series
Cryptology
Combinatorics
Algorithms & Complexity
Reference
Professional

Emphasizing causation as a functional relationship between variables, this book provides comprehensive coverage on the basics of SEM. It takes readers through the process of identifying, estimating, analyzing, and evaluating a range of models. The author discusses the history and philosophy of causality and its place in science and presents graph theory as a tool for the design and analysis of causal models. He explains how the algorithms in SEM are derived and how they work, covers various indices and tests for evaluating the fit of structural equation models to data, and explores recent research in graph theory, path tracing rules, and model evaluation.
• Chapman & Hall/CRC Statistics in the Social and Behavioral Scie
Quantitative Methods
Statistical Theory & Methods
Reference

Offering fascinating insight into how the financial system works and how the credit crisis arose, this book provides a clearly written, comprehensive account of the current credit crunch that is easily understandable to non-specialists. It explains how the financial system was drawn into the crunch and the issues that need to be addressed to prevent further disasters. The author supplies detailed descriptions on numerous specialist areas, including credit derivatives, structured finance, and the monoline insurance companies. He also explores accounting and financial regulation and discusses the legacy of the Great Depression and other historical events.
• Chapman & Hall/CRC Financial Mathematics Series
Finance
Financial Mathematics
Statistics
Reference

Now with solutions to selected problems, this bestselling textbook presents the tools of combinatorics from an applied point of view. It focuses on three basic problems of combinatorics: counting, existence, and optimization problems. The text contains many examples from the biological, computer, and social sciences, including disease screening, genome mapping, satellite communication, search engines, telecommunications traffic, web data, sound systems, oil drilling, dynamic labor markets, data mining, and distributed computing. It also offers numerous references to the literature of combinatorics and its applications that enable readers to delve more deeply into the topics.
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Intelligent Systems
Combinatorics
Cryptology
Textbook

Through theory and case studies, this book details how uncertainty and flexibility can be evaluated to assist in making better investment decisions in companies. It delivers an excellent balance of theory and practice in the area of investment decision making, demonstrates how financial and real options are related, and describes the theoretical underpinnings of both. The author presents case studies from diverse industries, including life sciences, pharmaceuticals, commodities, energy, technology, manufacturing, and financial services. He also looks at how organizations can become successful using a holistic framework that integrates uncertainty and flexibility.
• Chapman & Hall/CRC Finance Series
Finance
Operations Research
Financial Mathematics
Reference
Professional

Drawing from the author’s own state-of-the-art research, this book examines the philosophical basis, motivation, theory, and design recommendations for the implementation of an ethical control and reasoning system in autonomous robot systems, taking into account the Laws of War and Rules of Engagement. It discusses how robots can ultimately be more humane than humans in the battlefield. The author addresses the issue of autonomous robots having the potential to make life-or-death decisions and provides examples that illustrate autonomous systems’ ethical use of force. He also includes the opinions of the public, researchers, policymakers, and military personnel on the use of lethality by autonomous systems.
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Intelligent Systems
Machine Learning
Security Services
Reference
Professional

Bringing together all the relevant material to impart a clear understanding of how to analyze ROC curves, this book covers the fundamental theory as well as various special topics. It provides illustrative examples of the major methodological developments and includes as much of the mathematical theory as necessary without making the treatment too dense. The authors survey the uses made of the methodology across a range of different areas, from atmospheric science and geoscience to experimental psychology and sociology. They also list a number of websites from which software implementing the various techniques can be downloaded.
• Chapman & Hall/CRC Monographs on Statistics & Applied Probability
Statistics for the Biological Sciences
Data Preparation & Mining
Machine Learning
Reference