математика
Foundations of Risk Analysis
Terje Aven
Foundations of Risk Analysis presents the issues core to risk analysis – understanding what risk means, expressing risk, building risk models, addressing uncertainty, and applying probability models to real problems. The author provides the...
Concepts of Combinatorial Optimization
Vangelis Th. Paschos
Combinatorial optimization is a multidisciplinary scientific area, lying in the interface of three major scientific domains: mathematics, theoretical computer science and management. The three volumes of the Combinatorial Optimization series aim...
Applications of Combinatorial Optimization
Vangelis Th. Paschos
Combinatorial optimization is a multidisciplinary scientific area, lying in the interface of three major scientific domains: mathematics, theoretical computer science and management. The three volumes of the Combinatorial Optimization series...
Concepts of Combinatorial Optimization
Vangelis Th. Paschos
Combinatorial optimization is a multidisciplinary scientific area, lying in the interface of three major scientific domains: mathematics, theoretical computer science and management. The three volumes of the Combinatorial Optimization series...
Classic Problems of Probability
Prakash Gorroochurn
Winner of the 2012 PROSE Award for Mathematics from The American Publishers Awards for Professional and Scholarly Excellence. «A great book, one that I will certainly add to my personal library.» —Paul J. Nahin, Professor Emeritus of Electrical...
Fundamentals of Stochastic Networks
Oliver Ibe C.
An interdisciplinary approach to understanding queueing and graphical networks In today's era of interdisciplinary studies and research activities, network models are becoming increasingly important in various areas where they have not regularly...
Variational Methods for Engineers with Matlab
Eduardo Souza de Cursi
This book is issued from a 30 years’ experience on the presentation of variational methods to successive generations of students and researchers in Engineering. It gives a comprehensive, pedagogical and engineer-oriented presentation of the...
Mathematical Game Theory and Applications
Vladimir Mazalov
An authoritative and quantitative approach to modern game theory with applications from economics, political science, military science, and finance Mathematical Game Theory combines both the theoretical and mathematical foundations of game...
Statistics for Exercise Science and Health with Microsoft Office Excel
J. Verma P.
This book introduces the use of statistics to solve a variety of problems in exercise science and health and provides readers with a solid foundation for future research and data analysis. Statistics for Exercise Science and Health with...
Solutions Manual to accompany An Introduction to Numerical Methods and Analysis
James Epperson F.
A solutions manual to accompany An Introduction to Numerical Methods and Analysis, Second Edition An Introduction to Numerical Methods and Analysis, Second Edition reflects the latest trends in the field, includes new material and revised...
An Introduction to Numerical Methods and Analysis
James Epperson F.
Praise for the First Edition «. . . outstandingly appealing with regard to its style, contents, considerations of requirements of practice, choice of examples, and exercises.»—Zentralblatt MATH «. . . carefully structured with many detailed...
Panel Data Analysis using EViews
I. Gusti Ngurah Agung
A comprehensive and accessible guide to panel data analysis using EViews software This book explores the use of EViews software in creating panel data analysis using appropriate empirical models and real datasets. Guidance is given on developing...
Discrete-time Asset Pricing Models in Applied Stochastic Finance
P. C. G. Vassiliou
Stochastic finance and financial engineering have been rapidly expanding fields of science over the past four decades, mainly due to the success of sophisticated quantitative methodologies in helping professionals manage financial risks. In...
Examples and Problems in Mathematical Statistics
Shelemyahu Zacks
Provides the necessary skills to solve problems in mathematical statistics through theory, concrete examples, and exercises With a clear and detailed approach to the fundamentals of statistical theory, Examples and Problems in Mathematical...
Tree-based Graph Partitioning Constraint
Xavier Lorca
Combinatorial problems based on graph partitioning enable us to mathematically represent and model many practical applications. Mission planning and the routing problems occurring in logistics perfectly illustrate two such examples....
Mathematical Statistics and Stochastic Processes
Denis Bosq
Generally, books on mathematical statistics are restricted to the case of independent identically distributed random variables. In this book however, both this case AND the case of dependent variables, i.e. statistics for discrete and continuous...
Introduction to Statistics Through Resampling Methods and R
Phillip Good I.
A highly accessible alternative approach to basic statistics Praise for the First Edition: «Certainly one of the most impressive little paperback 200-page introductory statistics books that I will ever see . . . it would make a good nightstand...
Solutions Manual to accompany Introduction to Abstract Algebra, 4e, Solutions Manual
W. Nicholson Keith
An indispensable companion to the book hailed an «expository masterpiece of the highest didactic value» by Zentralblatt MATH This solutions manual helps readers test and reinforce the understanding of the principles and real-world applications...
A Classical Introduction to Galois Theory
Stephen Newman C.
Explore the foundations and modern applications of Galois theory Galois theory is widely regarded as one of the most elegant areas of mathematics. A Classical Introduction to Galois Theory develops the topic from a historical perspective, with...
Engineering Principles of Combat Modeling and Distributed Simulation
Andreas Tolk
Explore the military and combat applications of modeling and simulation Engineering Principles of Combat Modeling and Distributed Simulation is the first book of its kind to address the three perspectives that simulation engineers must master...
Numerical Analysis of Partial Differential Equations
S. Lui H
A balanced guide to the essential techniques for solving elliptic partial differential equations Numerical Analysis of Partial Differential Equations provides a comprehensive, self-contained treatment of the quantitative methods used to solve...
Six Sigma Quality Improvement with Minitab
G. Henderson Robin
This book aims to enable readers to understand and implement, via the widely used statistical software package Minitab (Release 16), statistical methods fundamental to the Six Sigma approach to the continuous improvement of products, processes...
The Visualization of Spatial Social Structure
Danny Dorling
How do you draw a map of 100,000 places, of more than a million flows of people, of changes over time and space, of different kinds of spaces, surfaces and volumes, from human travel time to landscapes of hopes, fears, migration, manufacturing...
Guidebook to R Graphics Using Microsoft Windows
Kunio Takezawa
Introduces the graphical capabilities of R to readers new to the software Due to its flexibility and availability, R has become the computing software of choice for statistical computing and generating graphics across various fields of research....
Understanding Educational Statistics Using Microsoft Excel and SPSS
Martin Abbott Lee
Utilizing the latest software, this book presents the essential statistical procedures for drawing valuable results from data in the social sciences. Mobilizing interesting real-world examples from the field of education, Understanding...
Discrete Event Systems in Dioid Algebra and Conventional Algebra
Philippe Declerck
This book concerns the use of dioid algebra as (max, +) algebra to treat the synchronization of tasks expressed by the maximum of the ends of the tasks conditioning the beginning of another task – a criterion of linear programming. A classical...
Financial Risk Modelling and Portfolio Optimization with R
Bernhard Pfaff
Introduces the latest techniques advocated for measuring financial market risk and portfolio optimization, and provides a plethora of R code examples that enable the reader to replicate the results featured throughout the book. Financial Risk...
Service Science
Mark Daskin S.
A comprehensive treatment on the use of quantitative modeling for decision making and best practices in the service industries Making up a significant part of the world economy, the service sector is a rapidly evolving field that is relied on to...
Multilevel Statistical Models
Harvey Goldstein
Throughout the social, medical and other sciences the importance of understanding complex hierarchical data structures is well understood. Multilevel modelling is now the accepted statistical technique for handling such data and is widely...
Misconceptions of Risk
Terje Aven
We all face risks in a variety of ways, as individuals, businesses and societies. The discipline of risk assessment and risk management is growing rapidly and there is an enormous drive for the implementation of risk assessment methods and risk...
Revolutions of Geometry
Michael O'Leary L.
Guides readers through the development of geometry and basic proof writing using a historical approach to the topic In an effort to fully appreciate the logic and structure of geometric proofs, Revolutions of Geometry places proofs into the...
Fundamentals of Actuarial Mathematics
S. Promislow David
This book provides a comprehensive introduction to actuarial mathematics, covering both deterministic and stochastic models of life contingencies, as well as more advanced topics such as risk theory, credibility theory and multi-state models....
Understanding Computational Bayesian Statistics
William Bolstad M.
A hands-on introduction to computational statistics from a Bayesian point of view Providing a solid grounding in statistics while uniquely covering the topics from a Bayesian perspective, Understanding Computational Bayesian Statistics...
Bayesian Modeling Using WinBUGS
Ioannis Ntzoufras
A hands-on introduction to the principles of Bayesian modeling using WinBUGS Bayesian Modeling Using WinBUGS provides an easily accessible introduction to the use of WinBUGS programming techniques in a variety of Bayesian modeling settings. The...
Statistical Methods for Fuzzy Data
Reinhard Viertl
Statistical data are not always precise numbers, or vectors, or categories. Real data are frequently what is called fuzzy. Examples where this fuzziness is obvious are quality of life data, environmental, biological, medical, sociological and...
Analyzing the Large Number of Variables in Biomedical and Satellite Imagery
Phillip Good I.
This book grew out of an online interactive offered through statcourse.com, and it soon became apparent to the author that the course was too limited in terms of time and length in light of the broad backgrounds of the enrolled students. The...
Bayesian Analysis for the Social Sciences
Simon Jackman
Bayesian methods are increasingly being used in the social sciences, as the problems encountered lend themselves so naturally to the subjective qualities of Bayesian methodology. This book provides an accessible introduction to Bayesian methods,...
Analysis of Financial Time Series
Ruey S. Tsay
This book provides a broad, mature, and systematic introduction to current financial econometric models and their applications to modeling and prediction of financial time series data. It utilizes real-world examples and real financial data...
Analysis of Ordinal Categorical Data
Alan Agresti
Statistical science’s first coordinated manual of methods for analyzing ordered categorical data, now fully revised and updated, continues to present applications and case studies in fields as diverse as sociology, public health, ecology,...
The Elements of Cantor Sets. With Applications
Robert Vallin W.
A systematic and integrated approach to Cantor Sets and their applications to various branches of mathematics The Elements of Cantor Sets: With Applications features a thorough introduction to Cantor Sets and applies these sets as a bridge...
Data Analysis. What Can Be Learned From the Past 50 Years
Peter Huber J.
This book explores the many provocative questions concerning the fundamentals of data analysis. It is based on the time-tested experience of one of the gurus of the subject matter. Why should one study data analysis? How should it be taught?...
The Language of Mathematics. Utilizing Math in Practice
Robert Baber L.
A new and unique way of understanding the translation of concepts and natural language into mathematical expressions Transforming a body of text into corresponding mathematical expressions and models is traditionally viewed and taught as a...
Financial Derivative and Energy Market Valuation. Theory and Implementation in MATLAB
Michael PhD Mastro
A road map for implementing quantitative financial models Financial Derivative and Energy Market Valuation brings the application of financial models to a higher level by helping readers capture the true behavior of energy markets and related...
Markov Chains. Theory and Applications
Bruno Sericola
Markov chains are a fundamental class of stochastic processes. They are widely used to solve problems in a large number of domains such as operational research, computer science, communication networks and manufacturing systems. The success of...
Shifting the Earth. The Mathematical Quest to Understand the Motion of the Universe
Arthur Mazer
Discover how mathematics and science have propelled history From Ancient Greece to the Enlightenment and then on to modern times, Shifting the Earth: The Mathematical Quest to Understand the Motion of the Universe takes readers on a journey...
How to be a Quantitative Ecologist. The 'A to R' of Green Mathematics and Statistics
Jason Matthiopoulos
Ecological research is becoming increasingly quantitative, yet students often opt out of courses in mathematics and statistics, unwittingly limiting their ability to carry out research in the future. This textbook provides a practical...
The Analysis of Covariance and Alternatives. Statistical Methods for Experiments, Quasi-Experiments, and Single-Case Studies
Bradley Huitema
A complete guide to cutting-edge techniques and best practices for applying covariance analysis methods The Second Edition of Analysis of Covariance and Alternatives sheds new light on its topic, offering in-depth discussions of underlying...
Design and Analysis of Experiments, Volume 3. Special Designs and Applications
Klaus Hinkelmann
Provides timely applications, modifications, and extensions of experimental designs for a variety of disciplines Design and Analysis of Experiments, Volume 3: Special Designs and Applications continues building upon the philosophical foundations...
Paradigms of Combinatorial Optimization. Problems and New Approaches, Volume 2
Vangelis Th. Paschos
Combinatorial optimization is a multidisciplinary scientific area, lying in the interface of three major scientific domains: mathematics, theoretical computer science and management. The three volumes of the Combinatorial Optimization series...
Paradigms of Combinatorial Optimization. Problems and New Approaches
Vangelis Th. Paschos
Combinatorial optimization is a multidisciplinary scientific area, lying in the interface of three major scientific domains: mathematics, theoretical computer science and management. The three volumes of the Combinatorial Optimization series aim...
