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Graphs & Digraphs (Textbooks In Mathematics Ser.)
by Gary Chartrand Linda Lesniak Ping ZhangContinuing to provide a carefully written, thorough introduction, Graphs & Digraphs, Fifth Edition expertly describes the concepts, theorems, history, and applications of graph theory. Nearly 50 percent longer than its bestselling predecessor, this edition reorganizes the material and presents many new topics.New to the Fifth EditionNew or expa
Group Theory for the Standard Model of Particle Physics and Beyond (Series In High Energy Physics, Cosmology And Gravitation Ser.)
by Ken J. BarnesBased on the author's well-established courses, Group Theory for the Standard Model of Particle Physics and Beyond explores the use of symmetries through descriptions of the techniques of Lie groups and Lie algebras. The text develops the models, theoretical framework, and mathematical tools to understand these symmetries.After linking symmetries w
College Geometry: A Unified Development (Textbooks In Mathematics Ser.)
by David C. KayDesigned for mathematics majors and other students who intend to teach mathematics at the secondary school level, College Geometry: A Unified Development unifies the three classical geometries within an axiomatic framework. The author develops the axioms to include Euclidean, elliptic, and hyperbolic geometry, showing how geometry has real and far-
Probability, Statistics, and Reliability for Engineers and Scientists
by Bilal M. Ayyub Richard H. McCuenIn a technological society, virtually every engineer and scientist needs to be able to collect, analyze, interpret, and properly use vast arrays of data. This means acquiring a solid foundation in the methods of data analysis and synthesis. Understanding the theoretical aspects is important, but learning to properly apply the theory to real-world p
Nonparametric Statistical Inference
by Jean Dickinson Gibbons Subhabrata ChakrabortiProven Material for a Course on the Introduction to the Theory and/or on the Applications of Classical Nonparametric MethodsSince its first publication in 1971, Nonparametric Statistical Inference has been widely regarded as the source for learning about nonparametric statistics. The fifth edition carries on this tradition while thoroughly revising
A Concise Introduction to Programming in Python (Chapman And Hall/crc Textbooks In Computing Ser.)
by Mark J. JohnsonSuitable for newcomers to computer science, A Concise Introduction to Programming in Python provides a succinct, yet complete, first course in computer science using the Python programming language. The book features:Short, modular chapters with brief and precise explanations, intended for one class periodEarly introduction of basic procedural cons
Dynamics of Biological Systems (Chapman And Hall/crc Mathematical And Computational Biology Ser.)
by Michael SmallFrom the spontaneous rapid firing of cortical neurons to the spatial diffusion of disease epidemics, biological systems exhibit rich dynamic behaviour over a vast range of time and space scales. Unifying many of these diverse phenomena, Dynamics of Biological Systems provides the computational and mathematical platform from which to understand the
Machine Translation
by Pushpak BhattacharyyaThree paradigms have dominated machine translation (MT)-rule-based machine translation (RBMT), statistical machine translation (SMT), and example-based machine translation (EBMT). These paradigms differ in the way they handle the three fundamental processes in MT-analysis, transfer, and generation (ATG). In its pure form, RBMT uses rules, while SMT
Applied Reliability
by Paul A. Tobias David TrindadeSince the publication of the second edition of Applied Reliability in 1995, the ready availability of inexpensive, powerful statistical software has changed the way statisticians and engineers look at and analyze all kinds of data. Problems in reliability that were once difficult and time consuming even for experts can now be solved with a few well
Behavioral Research and Analysis: An Introduction to Statistics within the Context of Experimental Design, Fourth Edition
by Max Vercruyssen Hal W. HendrickNow in its fourth edition, Behavioral Research and Analysis: An Introduction to Statistics within the Context of Experimental Design presents an overview of statistical methods within the context of experimental design. It covers fundamental topics such as data collection, data analysis, interpretation of results, and communication of findings
Biostatistics: A Computing Approach (Chapman And Hall/crc Biostatistics Ser.)
by Stewart AndersonThe emergence of high-speed computing has facilitated the development of many exciting statistical and mathematical methods in the last 25 years, broadening the landscape of available tools in statistical investigations of complex data. Biostatistics: A Computing Approach focuses on visualization and computational approaches associated with both mo
Applied Categorical and Count Data Analysis (Chapman And Hall/crc Texts In Statistical Science Ser.)
by Wan TangDeveloped from the authors' graduate-level biostatistics course, Applied Categorical and Count Data Analysis explains how to perform the statistical analysis of discrete data, including categorical and count outcomes. The authors describe the basic ideas underlying each concept, model, and approach to give readers a good grasp of the fundamentals o
Statistical Methods in Biology: Design and Analysis of Experiments and Regression
by S. J. WelhamWritten in simple language with relevant examples, Statistical Methods in Biology: Design and Analysis of Experiments and Regression is a practical and illustrative guide to the design of experiments and data analysis in the biological and agricultural sciences. The book presents statistical ideas in the context of biological and agricultural scien
Bayesian Data Analysis (Chapman And Hall/crc Texts In Statistical Science Ser.)
by Andrew Gelman John B. Carlin Hal S. Stern David B. Dunson Aki Vehtari Donald B. RubinWinner of the 2016 De Groot Prize from the International Society for Bayesian AnalysisNow in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied
Physical Oceanography: A Mathematical Introduction with MATLAB
by Reza Malek-MadaniAccessible to advanced undergraduate students, Physical Oceanography: A Mathematical Introduction with MATLAB demonstrates how to use the basic tenets of multivariate calculus to derive the governing equations of fluid dynamics in a rotating frame. It also explains how to use linear algebra and partial differential equations (PDEs) to solve basic i
Elements of Advanced Mathematics (Textbooks In Mathematics Ser.)
by Steven G. KrantzFor many years, this classroom-tested, best-selling text has guided mathematics students to more advanced studies in topology, abstract algebra, and real analysis. Elements of Advanced Mathematics, Third Edition retains the content and character of previous editions while making the material more up-to-date and significant. This third edition adds
An Introduction to Partial Differential Equations with MATLAB (Chapman And Hall/crc Applied Mathematics And Nonlinear Science Ser.)
by Matthew P. ColemanAn Introduction to Partial Differential Equations with MATLAB, Second Edition illustrates the usefulness of PDEs through numerous applications and helps students appreciate the beauty of the underlying mathematics. Updated throughout, this second edition of a bestseller shows students how PDEs can model diverse problems, including the flow of heat,
Introduction to Mathematical Modeling and Chaotic Dynamics
by Ranjit Kumar UpadhyayIntroduction to Mathematical Modeling and Chaotic Dynamics focuses on mathematical models in natural systems, particularly ecological systems. Most of the models presented are solved using MATLAB.The book first covers the necessary mathematical preliminaries, including testing of stability. It then describes the modeling of systems from natural sci
Linear Algebra and Probability for Computer Science Applications
by Ernest DavisBased on the author's course at NYU, Linear Algebra and Probability for Computer Science Applications gives an introduction to two mathematical fields that are fundamental in many areas of computer science. The course and the text are addressed to students with a very weak mathematical background. Most of the chapters discuss relevant MATLAB functi
Nonlinear Time Series: Theory, Methods and Applications with R Examples (Chapman And Hall/crc Texts In Statistical Science Ser.)
by Randal DoucDesigned for researchers and students, Nonlinear Times Series: Theory, Methods and Applications with R Examples familiarizes readers with the principles behind nonlinear time series models-without overwhelming them with difficult mathematical developments. By focusing on basic principles and theory, the authors give readers the background required
Probability Foundations for Engineers
by Joel A. NachlasSuitable for a first course in probability theory and designed specifically for industrial engineering and operations management students, Probability Foundations for Engineers covers theory in an accessible manner and includes numerous practical examples based on engineering applications. Essentially, everyone understands and deals with probabilit
Introduction to the Theory of Statistical Inference (Chapman & Hall/CRC Texts in Statistical Science)
by Hannelore Liero Silvelyn ZwanzigBased on the authors' lecture notes, this text presents concise yet complete coverage of statistical inference theory, focusing on the fundamental classical principles. Unlike related textbooks, it combines the theoretical basis of statistical inference with a useful applied toolbox that includes linear models. Suitable for a second semester undergraduate course on statistical inference, the text offers proofs to support the mathematics and does not require any use of measure theory. It illustrates core concepts using cartoons and provides solutions to all examples and problems.
Practical Multivariate Analysis (Chapman And Hall/crc Texts In Statistical Science Ser.)
by Abdelmonem Afifi Susanne May Virginia A. Clark Robin DonatelloThis new version of the bestselling Computer-Aided Multivariate Analysis has been appropriately renamed to better characterize the nature of the book. Taking into account novel multivariate analyses as well as new options for many standard methods, Practical Multivariate Analysis, Fifth Edition shows readers how to perform multivariate statistical
Probability and Statistics with R
by Ana F. Militino Alan T. Arnholt Maria Dolores UgarteCohesively Incorporates Statistical Theory with R ImplementationSince the publication of the popular first edition of this comprehensive textbook, the contributed R packages on CRAN have increased from around 1,000 to over 6,000. Designed for an intermediate undergraduate course, Probability and Statistics with R, Second Edition explores how some o
A Functional Start to Computing with Python (Chapman And Hall/crc Textbooks In Computing Ser.)
by Ted HermanA Functional Start to Computing with Python enables students to quickly learn computing without having to use loops, variables, and object abstractions at the start. Requiring no prior programming experience, the book draws on Python's flexible data types and operations as well as its capacity for defining new functions. Along with the specifics of