математика
Classic Topics on the History of Modern Mathematical Statistics
Prakash Gorroochurn
"There is nothing like it on the market…no others are as encyclopedic…the writing is exemplary: simple, direct, and competent." —George W. Cobb, Professor Emeritus of Mathematics and Statistics, Mount Holyoke College Written in a direct and...
Information and the World Stage
Bernard Dugu?
Modern science is at a tipping point. A new page in the history of knowledge opens with the “information paradigm”, a notion which is gradually supplanting the old mechanistic vision inherited from Galileo and Newton. The author presents an...
Entrepreneurial Finance
M. J. Alhabeeb
Featuring key topics within finance, small business management, and entrepreneurship to develop and maintain prosperous business ventures With a comprehensive and organized approach to fundamental financial theories, tools, and management...
The Physics of Theism
Jeffrey Koperski
The Physics of Theism provides a timely, critical analysis of the ways in which physics intertwines with religion. Koperski brings clarity to a range of arguments including the fine-tuning argument, naturalism, the laws of nature, and the...
Linear Algebra
Richard C. Penney
Praise for the Third Edition “This volume is ground-breaking in terms of mathematical texts in that it does not teach from a detached perspective, but instead, looks to show students that competent mathematicians bring an intuitive understanding...
Linear Algebra, Solutions Manual
Richard C. Penney
This Student Solutions Manual to Accompany Linear Algebra: Ideas and Applications, Fourth Edition contains solutions to the odd numbered problems to further aid in reader comprehension, and an Instructor's Solutions Manual (inclusive of...
Numerical Calculation of Elastohydrodynamic Lubrication
Ping Huang
The book not only offers scientists and engineers a clear inter-disciplinary introduction and orientation to all major EHL problems and their solutions but, most importantly, it also provides numerical programs on specific application in...
Nonlinear Regression Modeling for Engineering Applications
R. Russell Rhinehart
Since mathematical models express our understanding of how nature behaves, we use them to validate our understanding of the fundamentals about systems (which could be processes, equipment, procedures, devices, or products). Also, when validated,...
Efficiency and Productivity Growth
Fotios Pasiouras
An authoritative introduction to efficiency and productivity analysis with applications in both the banking and finance industry In light of the recent global financial crisis, several studies have examined the efficiency of financial...
Applied Mathematics for the Analysis of Biomedical Data
Peter J. Costa
Features a practical approach to the analysis of biomedical data via mathematical methods and provides a MATLAB® toolbox for the collection, visualization, and evaluation of experimental and real-life data Applied Mathematics for the Analysis of...
Differential Equation Analysis in Biomedical Science and Engineering
William E. Schiesser
Features a solid foundation of mathematical and computational tools to formulate and solve real-world PDE problems across various fields With a step-by-step approach to solving partial differential equations (PDEs), Differential Equation...
Bayesian Methods for Management and Business
Eugene D. Hahn
HIGHLIGHTS THE USE OF BAYESIAN STATISTICS TO GAIN INSIGHTS FROM EMPIRICAL DATA Featuring an accessible approach, Bayesian Methods for Management and Business: Pragmatic Solutions for Real Problems demonstrates how Bayesian statistics can help to...
Combinatorics
Theodore G. Faticoni
Bridges combinatorics and probability and uniquely includes detailed formulas and proofs to promote mathematical thinking Combinatorics: An Introduction introduces readers to counting combinatorics, offers examples that feature unique approaches...
Theory of Probability
Bruno de Finetti
First issued in translation as a two-volume work in 1975, this classic book provides the first complete development of the theory of probability from a subjectivist viewpoint. It proceeds from a detailed discussion of the philosophical...
Introductory Modern Algebra
Saul Stahl
Praise for the First Edition «Stahl offers the solvability of equations from the historical point of view…one of the best books available to support a one-semester introduction to abstract algebra.» —CHOICE Introductory Modern Algebra: A...
Clinical Trials
Steven Piantadosi
Presents elements of clinical trial methods that are essential in planning, designing, conducting, analyzing, and interpreting clinical trials with the goal of improving the evidence derived from these important studies This Third Edition builds...
Principles of Mathematics
Vladimir Lepetic
Presents a uniquely balanced approach that bridges introductory and advanced topics in modern mathematics An accessible treatment of the fundamentals of modern mathematics, Principles of Mathematics: A Primer provides a unique approach to...
Introductory Statistics and Analytics
Peter C. Bruce
Concise, thoroughly class-tested primer that features basic statistical concepts in the concepts in the context of analytics, resampling, and the bootstrap A uniquely developed presentation of key statistical topics, Introductory Statistics and...
Markov Chains
Carl Graham
Markov Chains: Analytic and Monte Carlo Computations introduces the main notions related to Markov chains and provides explanations on how to characterize, simulate, and recognize them. Starting with basic notions, this book leads progressively...
Global Dynamics
Группа авторов
A world model: economies, trade, migration, security and development aid. This bookprovides the analytical capability to understand and explore the dynamics of globalisation. It is anchored in economic input-output models of over 200 countries...
Constraint Satisfaction Problems
Khaled Ghedira
A Constraint Satisfaction Problem (CSP) consists of a set of variables, a domain of values for each variable and a set of constraints. The objective is to assign a value for each variable such that all constraints are satisfied. CSPs continue to...
Data Mining Algorithms
Pawel Cichosz
Data Mining Algorithms is a practical, technically-oriented guide to data mining algorithms that covers the most important algorithms for building classification, regression, and clustering models, as well as techniques used for attribute...
Markov Chains
Paul A. Gagniuc
A fascinating and instructive guide to Markov chains for experienced users and newcomers alike This unique guide to Markov chains approaches the subject along the four convergent lines of mathematics, implementation, simulation, and...
Optimierung in C++
Claus Richter
Die Optimierung ist einer der bedeutendsten Zweige der Mathematik mit weitreichenden Anwendungen in der Statistik, Physik, Meteorologie bis hin zur Wirtschaft und Unternehmensforschung. Ziel der Optimierung ist eine Minimierung oder Maximierung...
First Hitting Time Regression Models
Chrysseis Caroni
This book aims to promote regression methods for analyzing lifetime (or time-to-event) data that are based on a representation of the underlying process, and are therefore likely to offer greater scientific insight compared to purely empirical...
Business Risk Management
Edward J. Anderson
A comprehensive and accessible introduction to modern quantitative risk management. The business world is rife with risk and uncertainty, and risk management is a vitally important topic for managers. The best way to achieve a clear...
Aerospace Actuators 1
Jean-Charles Mar?
This book is the first of a series of volumes that cover the topic of aerospace actuators following a systems-based approach. This first volume provides general information on actuators and their reliability, and focuses on hydraulically...
Approaches to Geo-mathematical Modelling
Группа авторов
Geo-mathematical modelling: models from complexity science Sir Alan Wilson, Centre for Advanced Spatial Analysis, University College London Mathematical and computer models for a complexity science tool kit Geographical systems are characterised...
Time Series Analysis
Katsuto Tanaka
Reflects the developments and new directions in the field since the publication of the first successful edition and contains a complete set of problems and solutions This revised and expanded edition reflects the developments and new directions...
Probabilities
Peter Olofsson
Praise for the First Edition “If there is anything you want to know, or remind yourself, about probabilities, then look no further than this comprehensive, yet wittily written and enjoyable, compendium of how to apply probability calculations in...
Elements of Random Walk and Diffusion Processes
Oliver C. Ibe
Presents an important and unique introduction to random walk theory Random walk is a stochastic process that has proven to be a useful model in understanding discrete-state discrete-time processes across a wide spectrum of scientific...
Introduction to Probability and Statistics for Ecosystem Managers
Timothy C. Haas
Explores computer-intensive probability and statistics for ecosystem management decision making Simulation is an accessible way to explain probability and stochastic model behavior to beginners. This book introduces probability and statistics to...
Beyond Basic Statistics
Kristin H. Jarman
Features basic statistical concepts as a tool for thinking critically, wading through large quantities of information, and answering practical, everyday questions Written in an engaging and inviting manner, Beyond Basic Statistics: Tips, Tricks,...
Nonlinear Parameter Optimization Using R Tools
John C. Nash
Nonlinear Parameter Optimization Using R John C. Nash, Telfer School of Management, University of Ottawa, Canada A systematic and comprehensive treatment of optimization software using R In recent decades, optimization techniques have been...
The Data Industry
Chunlei Tang
Provides an introduction of the data industry to the field of economics This book bridges the gap between economics and data science to help data scientists understand the economics of big data, and enable economists to analyze the data...
Mixed Models
Eugene Demidenko
Praise for the First Edition “This book will serve to greatly complement the growing number of texts dealing with mixed models, and I highly recommend including it in one’s personal library.” —Journal of the American Statistical Association...
Banking Systems Simulation
Stefano Zedda
Presents information sources and methodologies for modeling and simulating banking system stability Combining both academic and institutional knowledge and experience, Banking Systems Simulation: Theory, Practice, and Application of Modeling...
Mathematical and Computational Modeling
Группа авторов
Illustrates the application of mathematical and computational modeling in a variety of disciplines With an emphasis on the interdisciplinary nature of mathematical and computational modeling, Mathematical and Computational Modeling: With...
Spline Collocation Methods for Partial Differential Equations
William E. Schiesser
A comprehensive approach to numerical partial differential equations Spline Collocation Methods for Partial Differential Equations combines the collocation analysis of partial differential equations (PDEs) with the method of lines (MOL) in order...
An Introduction to SAGE Programming
Razvan A. Mezei
Features a simplified presentation of numerical methods by introducing and implementing SAGE programs An Introduction to SAGE Programming: With Applications to SAGE Interacts for Numerical Methods emphasizes how to implement numerical methods...
Advances in DEA Theory and Applications
Группа авторов
A key resource and framework for assessing the performance of competing entities, including forecasting models Advances in DEA Theory and Applications provides a much-needed framework for assessing the performance of competing entities with...
Optimal Resource Allocation
Igor A. Ushakov
A UNIQUE ENGINEERING AND STATISTICAL APPROACH TO OPTIMAL RESOURCE ALLOCATION Optimal Resource Allocation: With Practical Statistical Applications and Theory features the application of probabilistic and statistical methods used in reliability...
Multivariate Nonparametric Regression and Visualization
Jussi Sakari Klemel?
A modern approach to statistical learning and its applications through visualization methods With a unique and innovative presentation, Multivariate Nonparametric Regression and Visualization provides readers with the core statistical concepts...
Multivariate Time Series Analysis
Ruey S. Tsay
An accessible guide to the multivariate time series tools used in numerous real-world applications Multivariate Time Series Analysis: With R and Financial Applications is the much anticipated sequel coming from one of the most influential and...
Mathematical Modeling with Multidisciplinary Applications
Группа авторов
Features mathematical modeling techniques and real-world processes with applications in diverse fields Mathematical Modeling with Multidisciplinary Applications details the interdisciplinary nature of mathematical modeling and numerical...
A First Course in Mathematical Logic and Set Theory
Michael L. O'Leary
A mathematical introduction to the theory and applications of logic and set theory with an emphasis on writing proofs Highlighting the applications and notations of basic mathematical concepts within the framework of logic and set theory, A...
Basic Data Analysis for Time Series with R
DeWayne R. Derryberry
Written at a readily accessible level, Basic Data Analysis for Time Series with R emphasizes the mathematical importance of collaborative analysis of data used to collect increments of time or space. Balancing a theoretical and practical...
Introduction to Stochastic Processes with R
Robert P. Dobrow
An introduction to stochastic processes through the use of R Introduction to Stochastic Processes with R is an accessible and well-balanced presentation of the theory of stochastic processes, with an emphasis on real-world applications of...
Computational Approaches to Studying the Co-evolution of Networks and Behavior in Social Dilemmas
Rense Corten
Computational Approaches to Studying the Co-evolution of Networks and Behaviour in Social Dilemmas shows students, researchers, and professionals how to use computation methods, rather than mathematical analysis, to answer research questions for...
Matrix Algebra for Linear Models
Marvin H. J. Gruber
A self-contained introduction to matrix analysis theory and applications in the field of statistics Comprehensive in scope, Matrix Algebra for Linear Models offers a succinct summary of matrix theory and its related applications to statistics,...
