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Business Process Modeling, Simulation and Design
by Manuel Laguna Johan MarklundMost textbooks on business process management focus on either the nuts and bolts of computer simulation or the managerial aspects of business processes. Covering both technical and managerial aspects of business process management, Business Process Modeling, Simulation and Design, Second Edition presents the tools to design effective business proce
Linear Models with R (Chapman & Hall/CRC Texts in Statistical Science)
by Julian J. FarawayA Hands-On Way to Learning Data AnalysisPart of the core of statistics, linear models are used to make predictions and explain the relationship between the response and the predictors. Understanding linear models is crucial to a broader competence in the practice of statistics. Linear Models with R, Second Edition explains how to use linear models
Fluid Dynamics via Examples and Solutions
by Sergey NazarenkoFluid Dynamics via Examples and Solutions provides a substantial set of example problems and detailed model solutions covering various phenomena and effects in fluids. The book is ideal as a supplement or exam review for undergraduate and graduate courses in fluid dynamics, continuum mechanics, turbulence, ocean and atmospheric sciences, and relate
A Concise Introduction to Pure Mathematics
by Martin LiebeckAccessible to all students with a sound background in high school mathematics, A Concise Introduction to Pure Mathematics, Third Edition presents some of the most fundamental and beautiful ideas in pure mathematics. It covers not only standard material but also many interesting topics not usually encountered at this level, such as the theory of sol
Option Valuation: A First Course in Financial Mathematics (Chapman And Hall/crc Financial Mathematics Ser.)
by Hugo D. JunghennOption Valuation: A First Course in Financial Mathematics provides a straightforward introduction to the mathematics and models used in the valuation of financial derivatives. It examines the principles of option pricing in detail via standard binomial and stochastic calculus models. Developing the requisite mathematical background as needed, the t
Introduction to General and Generalized Linear Models (Chapman And Hall/crc Texts In Statistical Science Ser.)
by Henrik MadsenBridging the gap between theory and practice for modern statistical model building, Introduction to General and Generalized Linear Models presents likelihood-based techniques for statistical modelling using various types of data. Implementations using R are provided throughout the text, although other software packages are also discussed. Numerous
A Mathematical Look at Politics
by Jr. E. RobinsonWhat Ralph Nader's spoiler role in the 2000 presidential election tells us about the American political system. Why Montana went to court to switch the 1990 apportionment to Dean's method. How the US tried to use game theory to win the Cold War, and why it didn't work. When students realize that mathematical thinking can address these sorts of pres
The Tao of Computing (Chapman And Hall/crc Textbooks In Computing Ser.)
by Henry M. WalkerDescribing both the practical details of interest to students and the high-level concepts and abstractions highlighted by faculty, The Tao of Computing, Second Edition presents a comprehensive introduction to computers and computer technology. This edition updates its popular predecessor with new research exercises and expanded discussion questions
Survival Analysis in Medicine and Genetics (Chapman And Hall/crc Biostatistics Ser.)
by Jialiang LiUsing real data sets throughout, Survival Analysis in Medicine and Genetics introduces the latest methods for analyzing high-dimensional survival data. It provides thorough coverage of recent statistical developments in the medical and genetics fields. The text mainly addresses special concerns of the survival model. After covering the fundamentals
Applied Nonparametric Statistical Methods (Chapman And Hall/crc Texts In Statistical Science Ser.)
by Peter Sprent Nigel C. SmeetonWhile preserving the clear, accessible style of previous editions, Applied Nonparametric Statistical Methods, Fourth Edition reflects the latest developments in computer-intensive methods that deal with intractable analytical problems and unwieldy data sets. Reorganized and with additional material, this edition begins with a brief summary of some
Differential Geometry of Curves and Surfaces
by Thomas F. BanchoffStudents and professors of an undergraduate course in differential geometry will appreciate the clear exposition and comprehensive exercises in this book that focuses on the geometric properties of curves and surfaces, one- and two-dimensional objects in Euclidean space. The problems generally relate to questions of local properties (the properties
Modelling and Quantitative Methods in Fisheries
by Malcolm HaddonWith numerous real-world examples, Modelling and Quantitative Methods in Fisheries, Second Edition provides an introduction to the analytical methods used by fisheries' scientists and ecologists. By following the examples using Excel, readers see the nuts and bolts of how the methods work and better understand the underlying principles. Excel workb
Random Phenomena: Fundamentals of Probability and Statistics for Engineers
by Babatunde A. OgunnaikeMany of the problems that engineers face involve randomly varying phenomena of one sort or another. However, if characterized properly, even such randomness and the resulting uncertainty are subject to rigorous mathematical analysis. Taking into account the uniquely multidisciplinary demands of 21st-century science and engineering, Random Phenomena
Signals and Systems Laboratory with MATLAB
by Alex PalamidesWith its exhaustive coverage of relevant theory, Signals and Systems Laboratory with MATLAB is a powerful resource that provides simple, detailed instructions on how to apply computer methods to signals and systems analysis. Written for laboratory work in a course on signals and systems, this book presents a corresponding MATLAB implementation for
Understanding Real Analysis
by Paul ZornThis book is a one-semester text for an introduction to real analysis. The author's primary aims are to develop ideas already familiar from elementary calculus in a rigorous manner and to help students deeply understand some basic but crucial mathematical ideas, and to see how definitions, proofs, examples, and other forms of mathematical "apparatu
Transportation Statistics and Microsimulation
by Clifford SpiegelmanBy discussing statistical concepts in the context of transportation planning and operations, Transportation Statistics and Microsimulation provides the necessary background for making informed transportation-related decisions. It explains the why behind standard methods and uses real-world transportation examples and problems to illustrate key conc
A Modern Introduction to Linear Algebra
by Henry RicardoUseful Concepts and Results at the Heart of Linear AlgebraA one- or two-semester course for a wide variety of students at the sophomore/junior undergraduate levelA Modern Introduction to Linear Algebra provides a rigorous yet accessible matrix-oriented introduction to the essential concepts of linear algebra. Concrete, easy-to-understand examples m
Access Control, Security, and Trust: A Logical Approach (Chapman And Hall/crc Cryptography And Network Security Ser.)
by Shiu-Kai ChinDeveloped from the authors' courses at Syracuse University and the U.S. Air Force Research Laboratory, Access Control, Security, and Trust: A Logical Approach equips readers with an access control logic they can use to specify and verify their security designs. Throughout the text, the authors use a single access control logic based on a simple pro
Advanced Engineering Mathematics with MATLAB (Advances In Applied Mathematics Ser.)
by Dean G. DuffyTaking a practical approach to the subject, Advanced Engineering Mathematics with MATLAB, Third Edition continues to integrate technology into the conventional topics of engineering mathematics. The author employs MATLAB to reinforce concepts and solve problems that require heavy computation. MATLAB scripts are available for download at www.crcpres
Measured Tones: The Interplay of Physics and Music, Third Edition
by Ian JohnstonMost books concerned with physics and music take an approach that puts physical theory before application. Consequently, these works tend to dampen aesthetic fascination with preludes burdened by an overabundance of algebraic formulae. In Measured Tones: The Interplay of Physics and Music Third Edition, Ian Johnston a professor of astrophysics and
An Introduction to Stochastic Processes with Applications to Biology
by Linda J. S. AllenAn Introduction to Stochastic Processes with Applications to Biology, Second Edition presents the basic theory of stochastic processes necessary in understanding and applying stochastic methods to biological problems in areas such as population growth and extinction, drug kinetics, two-species competition and predation, the spread of epidemics, and
Applied Algebra: Codes, Ciphers and Discrete Algorithms, Second Edition (Discrete Mathematics And Its Applications Ser.)
by Darel W. Hardy Fred Richman Carol L. WalkerUsing mathematical tools from number theory and finite fields, Applied Algebra: Codes, Ciphers, and Discrete Algorithms, Second Edition presents practical methods for solving problems in data security and data integrity. It is designed for an applied algebra course for students who have had prior classes in abstract or linear algebra. While the con
Mastering Linux
by Paul S. WangEncouraging hands-on practice, Mastering Linux provides a comprehensive, up-to-date guide to Linux concepts, usage, and programming. Through a set of carefully selected topics and practical examples, the book imparts a sound understanding of operating system concepts and shows how to use Linux effectively.Ready-to-Use Examples Offer Immediate Acces
Bayesian Ideas and Data Analysis: An Introduction for Scientists and Statisticians (Chapman And Hall/crc Texts In Statistical Science Ser.)
by Ronald ChristensenEmphasizing the use of WinBUGS and R to analyze real data, Bayesian Ideas and Data Analysis: An Introduction for Scientists and Statisticians presents statistical tools to address scientific questions. It highlights foundational issues in statistics, the importance of making accurate predictions, and the need for scientists and statisticians to col
Introduction to Statistical Data Analysis for the Life Sciences
by Claus Thorn EkstromAny practical introduction to statistics in the life sciences requires a focus on applications and computational statistics combined with a reasonable level of mathematical rigor. It must offer the right combination of data examples, statistical theory, and computing required for analysis today. And it should involve R software, the lingua franca o