математика
Cluster Analysis
Brian S. Everitt
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...
Causality
Группа авторов
A state of the art volume on statistical causality Causality: Statistical Perspectives and Applications presents a wide-ranging collection of seminal contributions by renowned experts in the field, providing a thorough treatment of all aspects...
Dirichlet and Related Distributions
Kai Wang Ng
The Dirichlet distribution appears in many areas of application, which include modelling of compositional data, Bayesian analysis, statistical genetics, and nonparametric inference. This book provides a comprehensive review of the Dirichlet...
Graph Edge Coloring
Michael Stiebitz
Features recent advances and new applications in graph edge coloring Reviewing recent advances in the Edge Coloring Problem, Graph Edge Coloring: Vizing's Theorem and Goldberg's Conjecture provides an overview of the current state of the...
Solutions Manual to accompany Introduction to Linear Regression Analysis
Douglas C. Montgomery
As the Solutions Manual, this book is meant to accompany the main title, Introduction to Linear Regression Analysis, Fifth Edition. Clearly balancing theory with applications, this book describes both the conventional and less common uses of...
Performing Data Analysis Using IBM SPSS
Lawrence S. Meyers
Features easy-to-follow insight and clear guidelines to perform data analysis using IBM SPSS® Performing Data Analysis Using IBM SPSS® uniquely addresses the presented statistical procedures with an example problem, detailed analysis, and the...
Linear Programming and Network Flows
Mokhtar S. Bazaraa
The authoritative guide to modeling and solving complex problems with linear programming—extensively revised, expanded, and updated The only book to treat both linear programming techniques and network flows under one cover, Linear Programming...
Case Studies in Bayesian Statistical Modelling and Analysis
Группа авторов
Provides an accessible foundation to Bayesian analysis using real world models This book aims to present an introduction to Bayesian modelling and computation, by considering real case studies drawn from diverse fields spanning ecology, health,...
Designing and Conducting Business Surveys
Ger Snijkers
Designing and Conducting Business Surveys provides a coherent overview of the business survey process, from start to finish. It uniquely integrates an understanding of how businesses operate, a total survey error approach to data quality that...
Computational and Statistical Methods for Protein Quantification by Mass Spectrometry
Ingvar Eidhammer
The definitive introduction to data analysis in quantitative proteomics This book provides all the necessary knowledge about mass spectrometry based proteomics methods and computational and statistical approaches to pursue the planning, design...
Time-Dependent Problems and Difference Methods
Bertil Gustafsson
Praise for the First Edition «. . . fills a considerable gap in the numerical analysis literature by providing a self-contained treatment . . . this is an important work written in a clear style . . . warmly recommended to any graduate student...
Stochastic Methods for Pension Funds
Jacques Janssen
Quantitative finance has become these last years a extraordinary field of research and interest as well from an academic point of view as for practical applications. At the same time, pension issue is clearly a major economical and financial...
Nonparametric Tests for Complete Data
Mikhail S. Nikulin
This book concerns testing hypotheses in non-parametric models. Classical non-parametric tests (goodness-of-fit, homogeneity, randomness, independence) of complete data are considered. Most of the test results are proved and real applications...
Nonparametric Tests for Censored Data
Mikhail S. Nikulin
This book concerns testing hypotheses in non-parametric models. Generalizations of many non-parametric tests to the case of censored and truncated data are considered. Most of the test results are proved and real applications are illustrated...
Natural Element Method for the Simulation of Structures and Processes
Francisco Chinesta
Computational mechanics is the discipline concerned with the use of computational methods to study phenomena governed by the principles of mechanics. Before the emergence of computational science (also called scientific computing) as a «third...
Stochastic Geometry and Its Applications
Sung Nok Chiu
An extensive update to a classic text Stochastic geometry and spatial statistics play a fundamental role in many modern branches of physics, materials sciences, engineering, biology and environmental sciences. They offer successful models for...
Analysis in Vector Spaces
Mustafa A. Akcoglu
A rigorous introduction to calculus in vector spaces The concepts and theorems of advanced calculus combined with related computational methods are essential to understanding nearly all areas of quantitative science. Analysis in Vector Spaces...
Industrial Statistics with Minitab
Pere Grima Cintas
Industrial Statistics with MINITAB demonstrates the use of MINITAB as a tool for performing statistical analysis in an industrial context. This book covers introductory industrial statistics, exploring the most commonly used techniques alongside...
Rasch Models in Health
Группа авторов
The family of statistical models known as Rasch models started with a simple model for responses to questions in educational tests presented together with a number of related models that the Danish mathematician Georg Rasch referred to as models...
Introduction to Imprecise Probabilities
Группа авторов
In recent years, the theory has become widely accepted and has been further developed, but a detailed introduction is needed in order to make the material available and accessible to a wide audience. This will be the first book providing such an...
Statistical Disclosure Control
Josep Domingo-Ferrer
A reference to answer all your statistical confidentiality questions. This handbook provides technical guidance on statistical disclosure control and on how to approach the problem of balancing the need to provide users with statistical outputs...
Applied Logistic Regression
Stanley Lemeshow
A new edition of the definitive guide to logistic regression modeling for health science and other applications This thoroughly expanded Third Edition provides an easily accessible introduction to the logistic regression (LR) model and...
Optimization of Logistics
Alice Yalaoui
This book aims to help engineers, Masters students and young researchers to understand and gain a general knowledge of logistic systems optimization problems and techniques, such as system design, layout, stock management, quality management,...
Cognitive Interviewing Methodology
Группа авторов
AN INTERDISCIPLINARY PERSPECTIVE TO THE EVOLUTION OF THEORY AND METHODOLOGY WITHIN COGNITIVE INTERVIEW PROCESSES Providing a comprehensive approach to cognitive interviewing in the field of survey methodology, Cognitive Interviewing Methodology...
Nonparametric Statistical Methods
Myles Hollander
Praise for the Second Edition “This book should be an essential part of the personal library of every practicing statistician.”—Technometrics Thoroughly revised and updated, the new edition of Nonparametric Statistical Methods includes...
Spatial and Spatio-Temporal Geostatistical Modeling and Kriging
Gema Fern?ndez-Avil?s
Statistical Methods for Spatial and Spatio-Temporal Data Analysis provides a complete range of spatio-temporal covariance functions and discusses ways of constructing them. This book is a unified approach to modeling spatial and spatio-temporal...
Internal Combustion Engine Bearings Lubrication in Hydrodynamic Bearings
Dominique Bonneau
This Series provides the necessary elements to the development and validation of numerical prediction models for hydrodynamic bearings. This book with the specific case of internal combustion engine (ICE) journal bearing lubrication. Many...
Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science
Franco Taroni
"This book should have a place on the bookshelf of every forensic scientist who cares about the science of evidence interpretation" Dr. Ian Evett, Principal Forensic Services Ltd, London, UK Continuing developments in science and technology mean...
A Companion to the Philosophy of Technology
Jan Kyrre Berg Olsen
Drawing on essays from leading international and multi-disciplinary scholars, A Companion to the Philosophy of Technology is the first comprehensive and authoritative reference source to cover the key issues of technology’s impact on society and...
Hydrodynamic Bearings
Dominique Bonneau
This Series provides the necessary elements to the development and validation of numerical prediction models for hydrodynamic bearings. This book describes the rheological models and the equations of lubrication. It also presents the numerical...
Die Finite-Elemente-Methode f?r Anf?nger
Herbert Goering
Die Finite-Elemente-Methode ist eine grundlegende mathematische Technik zur Behandlung von Differentialgleichungs- und Variationsproblemen, die in Physik und Mechanik, im Bau- und Ingenieurwesen sowie in Elektrotechnik und Mechatronik auftreten....
Symmetry Analysis of Differential Equations
Daniel J. Arrigo
A self-contained introduction to the methods and techniques of symmetry analysis used to solve ODEs and PDEs Symmetry Analysis of Differential Equations: An Introduction presents an accessible approach to the uses of symmetry methods in solving...
Engineering Biostatistics
Brani Vidakovic
Provides a one-stop resource for engineers learning biostatistics using MATLAB® and WinBUGS Through its scope and depth of coverage, this book addresses the needs of the vibrant and rapidly growing bio-oriented engineering fields while...
The History of Mathematics
Roger L. Cooke
Praise for the Second Edition «An amazing assemblage of worldwide contributions in mathematics and, in addition to use as a course book, a valuable resource . . . essential.» —CHOICE This Third Edition of The History of Mathematics examines the...
The Development of Mathematics Throughout the Centuries
Brian Evans
Throughout the book, readers take a journey throughout time and observe how people around the world have understood these patterns of quantity, structure, and dimension around them. The Development of Mathematics Throughout the Centuries: A...
Complex Analysis
Jerry R. Muir, Jr.
A thorough introduction to the theory of complex functions emphasizing the beauty, power, and counterintuitive nature of the subject Written with a reader-friendly approach, Complex Analysis: A Modern First Course in Function Theory features a...
An Introduction to Financial Markets
Paolo Brandimarte
COVERS THE FUNDAMENTAL TOPICS IN MATHEMATICS, STATISTICS, AND FINANCIAL MANAGEMENT THAT ARE REQUIRED FOR A THOROUGH STUDY OF FINANCIAL MARKETS This comprehensive yet accessible book introduces students to financial markets and delves into more...
Models for Life
Jeffrey T. Barton
Features an authentic and engaging approach to mathematical modeling driven by real-world applications With a focus on mathematical models based on real and current data, Models for Life: An Introduction to Discrete Mathematical Modeling with...
Solutions Manual to Accompany Models for Life
Jeffrey T. Barton
A solutions manual to accompany An Introduction to Discrete Mathematical Modeling with Microsoft® Office Excel® With a focus on mathematical models based on real and current data, Models for Life: An Introduction to Discrete Mathematical...
Statistics
Michael J. Crawley
"…I know of no better book of its kind…" (Journal of the Royal Statistical Society, Vol 169 (1), January 2006) A revised and updated edition of this bestselling introductory textbook to statistical analysis using the leading free software...
Applied Probabilistic Calculus for Financial Engineering
Bertram K. C. Chan
Illustrates how R may be used successfully to solve problems in quantitative finance Applied Probabilistic Calculus for Financial Engineering: An Introduction Using R provides R recipes for asset allocation and portfolio optimization problems....
Stochastic Differential Equations
Michael J. Panik
A beginner’s guide to stochastic growth modeling The chief advantage of stochastic growth models over deterministic models is that they combine both deterministic and stochastic elements of dynamic behaviors, such as weather, natural disasters,...
Probability
John J. Kinney
Praise for the First Edition «This is a well-written and impressively presented introduction to probability and statistics. The text throughout is highly readable, and the author makes liberal use of graphs and diagrams to clarify the theory.» –...
Big Data and Differential Privacy
Nii O. Attoh-Okine
A comprehensive introduction to the theory and practice of contemporary data science analysis for railway track engineering Featuring a practical introduction to state-of-the-art data analysis for railway track engineering, Big Data and...
Recurrent Event Modeling Based on the Yule Process
Yves Le Gat
This book presents research work into the reliability of drinking water pipes. The infrastructure of water pipes is susceptible to routine failures, namely leakage or breakage, which occur in an aggregative manner in pipeline networks. Creating...
Statistics from A to Z
Andrew A. Jawlik
Statistics is confusing, even for smart, technically competent people. And many students and professionals find that existing books and web resources don’t give them an intuitive understanding of confusing statistical concepts. That is why this...
MATLAB und Mathematik kompetent einsetzen
Stefan Miodoski Adam
Das erfolgreiche MATLAB- und Mathematikbuch von Stefan Adam fordert den Aufbau einer fundierten Kompetenz zur Losung von naturwissenschaftlichen und technischen Berechnungsproblemen. Zusammen mit den Erlauterungen zur Anwendung und...
Computational Design of Lightweight Structures
Benoit Descamps
The author of this book presents a general, robust, and easy-to-use method that can handle many design parameters efficiently. Following an introduction, Chapter 1 presents the general concepts of truss layout optimization, starting from...
Statistical Data Analytics
Walter W. Piegorsch
A comprehensive introduction to statistical methods for data mining and knowledge discovery. Applications of data mining and ‘big data’ increasingly take center stage in our modern, knowledge-driven society, supported by advances in computing...
Statistical Data Analytics
Walter W. Piegorsch
Solutions Manual to accompany Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery A comprehensive introduction to statistical methods for data mining and knowledge discovery. Extensive solutions using...
