The nano revolution has made available powerful new tools for studying biological phenomena, allowing a deeper look into biological problems. This book provides a complete overview of new developments in optical microscopy that enables structure determination at the nanoscale. The list of contributors represents top experts in their respective fields who have led the current upsurge or have laid the foundation for the development of modern microscopes and techniques. They offer a state-of-the-art treatment of critical topics in nanoscopy, ranging from imaging and manipulation to spectroscopy and visualization. The editor takes a truly interdisciplinary approach, combining the science and tools of biologists, physicists, and engineers.
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Optoelectronics
Optics & optoelectronics
Microscopy
Reference
Professional

This text presents the basic principles of sound graphical design and applies these principles to engaging examples using the graphical functions available in R. The author emphasizes the fundamentals of statistical graphics and describes the strengths and weaknesses of each graphical display. He also presents technical theoretical details on topics such as the estimation of quantiles, kernel density estimation, locally weighted polynomial regression, and splines. The book includes examples of real-world data, end-of-chapter exercises, and many illustrations, with some in color. R code is available for download on the book’s website.
• Chapman & Hall/CRC Texts in Statistical Science
Statistics & Computing
Statistical Theory & Methods
Mathematics & Statistics for Engineers
Textbook
Professional

This handbook provides an overview of the most common chemoinformatics algorithms in a single source. It explains how algorithms and graph theory are applied to chemical problems, such as structure–activity/property predictions. The book describes virtual screening techniques, docking methods, inverse-QSAR methods, de novo design algorithms, sequence alignment algorithms, and classical machine learning algorithms. Along with reviewing open source software and databases, it also explores the development and validation of QSAR models and covers applications in combinatorial library design, synthesis design, biological network inference, and systems biology.
• Chapman & Hall/CRC Mathematical & Computational Biology
Bioinformatics
Chemistry
Reference
Professional

Drawing on the authors’ use of the Hadamard-related theory in several successful engineering projects, this book explores the applications and dimensions of Hadamard matrices. It covers classical two-dimensional Walsh and Hadamard matrices as well as new Hadamard designs based on dyadic addition sets. After focusing on three-, four-, and six-dimensional Walsh and Hadamard matrices and transforms, the authors describe applications of the n -dimensional Hadamard matrices of order 2. In a new section of the book, they explore the applications of higher-dimensional Hadamard matrices to the areas of telecommunications and information security.
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Algebra
Combinatorics
Cryptology
Reference

With a focus on the description, modeling, prediction, and signal extraction of times series, this book provides basic tools for analyzing time series that arise in real-world problems. It employs the state-space model as a generic tool for time series modeling and presents convenient recursive filtering and smoothing methods for the state-space models. The author takes a unified approach to model evaluation based on the entropy maximization principle advocated by Dr. Akaike. He also covers standard stationary time series models, nonstationary time series models, and simulation methods.
• Chapman & Hall/CRC Monographs on Statistics & Applied Probability
Statistical Theory & Methods
Statistics
Reference
Professional

Bringing the computer into the classroom, this text emphasizes the use of computer software in teaching linear and nonlinear differential equations and systems. Along with discussing fundamental existence, uniqueness, and continuation theorems, it includes numerical case studies that highlight possible pitfalls when computing a numerical solution without first considering the appropriate theory. Requiring no prior knowledge of programming languages, the text shows how to solve various mathematical models, such as population growth, epidemic, and predator-prey models. The accompanying CD-ROM contains the software programs used in the text. A solutions manual is available for qualifying instructors.
• Textbooks in Mathematics
Differential Equations
Mathematical Physics
Textbook

With many examples and exercises based on major real-world survey data sets, this book provides a practical statistical overview of the analysis of complex sample survey data. It presents many methods and models for survey data analysis, including the linear regression, generalized linear, Cox proportional hazards, and discrete time models. It also explores new developments in advanced statistical techniques, such as multilevel analysis of survey data. The authors show how design characteristics are easily incorporated into the statistical methods and software for survey estimation and inference. Although Stata is used for most examples in the text, other software code is offered on the book’s website.
• Chapman & Hall/CRC Statistics in the Social and Behavioral Scie
Quantitative Methods
Statistics & Computing
Statistics for the Biological Sciences
Reference
Professional

Eschewing a more theoretical approach, Portfolio Optimization shows how the mathematical tools of linear algebra and optimization can quickly and clearly formulate important ideas on the subject. This practical book extends the concepts of the Markowitz "budget constraint only" model to a linearly constrained model. It explains how the basic portfolio optimization problem can help determine the optimal investment of an investor’s wealth in each asset owned. Along with end-of-chapter exercises, the text includes MATLAB ® to help with problem solving and offers the programs on a CD-ROM. A solutions manual is available for qualifying instructors.
• Chapman & Hall/CRC Finance Series
Applied Mathematics
Operations Research
Financial Mathematics
Textbook
Undergraduate

From basic data mining concepts to state-of-the-art advances, this book covers the theory of the subject as well as its application in a variety of fields. It discusses the incorporation of temporality in databases as well as temporal data representation, similarity computation, data classification, clustering, pattern discovery, and prediction. The book also explores the use of temporal data mining in medicine and biomedical informatics, business and industrial applications, web usage mining, and spatiotemporal data mining. Along with various state-of-the-art algorithms, each chapter includes detailed references and short descriptions of relevant algorithms and techniques described in other references.
• Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
Data Preparation & Mining
Statistics & Computing
Algorithms & Complexity
Reference
Professional

This work describes the impacts of measurement errors on naive analyses that ignore them and presents ways to correct for them across a variety of statistical models, from simple one-sample problems and misclassification in categorical models to regression models to more complex mixed and time series models. It covers correction methods based on known measurement error parameters, replication, internal or external validation data, and instrumental variables. The author includes examples using real-world data from epidemiology, ecology, and other disciplines and employs SAS-IML and Stata to implement many of the techniques in the examples.
• Chapman & Hall/CRC Interdisciplinary Statistics
Statistics for the Biological Sciences
Statistical Theory & Methods
Epidemiology
Reference
Professional