математика
Differential Equation Analysis in Biomedical Science and Engineering. Ordinary Differential Equation Applications with R
William Schiesser E.
Features a solid foundation of mathematical and computational tools to formulate and solve real-world ODE problems across various fields With a step-by-step approach to solving ordinary differential equations (ODEs), Differential Equation...
Causality in a Social World. Moderation, Mediation and Spill-over
Guanglei Hong
Causality in a Social World introduces innovative new statistical research and strategies for investigating moderated intervention effects, mediated intervention effects, and spill-over effects using experimental or quasi-experimental data. The...
Survival Analysis. Models and Applications
Xian Liu
Survival analysis concerns sequential occurrences of events governed by probabilistic laws. Recent decades have witnessed many applications of survival analysis in various disciplines. This book introduces both classic survival models and...
Introduction to Digital Systems. Modeling, Synthesis, and Simulation Using VHDL
Mohammed Ferdjallah
A unique guide to using both modeling and simulation in digital systems design Digital systems design requires rigorous modeling and simulation analysis that eliminates design risks and potential harm to users. Introduction to Digital Systems:...
Fractal Geometry. Mathematical Foundations and Applications
Kenneth Falconer
The seminal text on fractal geometry for students and researchers: extensively revised and updated with new material, notes and references that reflect recent directions. Interest in fractal geometry continues to grow rapidly, both as a subject...
Multistate Systems Reliability Theory with Applications
Bent Natvig
Most books in reliability theory are dealing with a description of component and system states as binary: functioning or failed. However, many systems are composed of multi-state components with different performance levels and several failure...
A Primer on Experiments with Mixtures
John Cornell A.
The concise yet authoritative presentation of key techniques for basic mixtures experiments Inspired by the author's bestselling advanced book on the topic, A Primer on Experiments with Mixtures provides an introductory presentation of the key...
Statistical Inference for Fractional Diffusion Processes
B. L. S. Prakasa Rao
Stochastic processes are widely used for model building in the social, physical, engineering and life sciences as well as in financial economics. In model building, statistical inference for stochastic processes is of great importance from both...
Fourier Series and Numerical Methods for Partial Differential Equations
Richard Bernatz
The importance of partial differential equations (PDEs) in modeling phenomena in engineering as well as in the physical, natural, and social sciences is well known by students and practitioners in these fields. Striking a balance between theory...
An Introduction to Critical Thinking and Creativity. Think More, Think Better
J. Y. F. Lau
A valuable guide on creativity and critical thinking to improve reasoning and decision-making skills Critical thinking skills are essential in virtually any field of study or practice where individuals need to communicate ideas, make decisions,...
Risk Assessment. Theory, Methods, and Applications
Marvin Rausand
An introduction to risk assessment that utilizes key theory and state-of-the-art applications With its balanced coverage of theory and applications along with standards and regulations, Risk Assessment: Theory, Methods, and Applications serves...
Visual Data Mining. The VisMiner Approach
Russell Anderson K.
A visual approach to data mining. Data mining has been defined as the search for useful and previously unknown patterns in large datasets, yet when faced with the task of mining a large dataset, it is not always obvious where to start and how to...
Der perfekte Tipp. Statistik des Fu?ballspiels
Andreas Heuer
How predictable is a soccer game, what good does the change of a coach, which role does the salary of soccer players have? Andreas Heuer surprises us with his analysis of soccer statistics. He shows that many beloved soccer sayings will vanish...
Biostatistical Methods. The Assessment of Relative Risks
John Lachin M.
Praise for the First Edition «. . . an excellent textbook . . . an indispensable reference for biostatisticians and epidemiologists.» —International Statistical Institute A new edition of the definitive guide to classical and modern methods of...
Cross Section and Experimental Data Analysis Using EViews
I. Gusti Ngurah Agung
A practical guide to selecting and applying the most appropriate model for analysis of cross section data using EViews. «This book is a reflection of the vast experience and knowledge of the author. It is a useful reference for students and...
Bayesian Methods for Structural Dynamics and Civil Engineering
Ka-Veng Yuen
Bayesian methods are a powerful tool in many areas of science and engineering, especially statistical physics, medical sciences, electrical engineering, and information sciences. They are also ideal for civil engineering applications, given the...
Approximate Dynamic Programming. Solving the Curses of Dimensionality
Warren Powell B.
Praise for the First Edition «Finally, a book devoted to dynamic programming and written using the language of operations research (OR)! This beautiful book fills a gap in the libraries of OR specialists and practitioners.» —Computing Reviews...
Digital Spectral Analysis. Parametric, Non-Parametric and Advanced Methods
Francis Castani?
Digital Spectral Analysis provides a single source that offers complete coverage of the spectral analysis domain. This self-contained work includes details on advanced topics that are usually presented in scattered sources throughout the...
Bayesian Statistics. An Introduction
Peter Lee M.
Bayesian Statistics is the school of thought that combines prior beliefs with the likelihood of a hypothesis to arrive at posterior beliefs. The first edition of Peter Lee’s book appeared in 1989, but the subject has moved ever onwards, with...
Introduction to Stochastic Analysis. Integrals and Differential Equations
Vigirdas Mackevicius
This is an introduction to stochastic integration and stochastic differential equations written in an understandable way for a wide audience, from students of mathematics to practitioners in biology, chemistry, physics, and finances. The...
Social Networks and their Economics. Influencing Consumer Choice
Daniel Birke
Reveals how consumer choice can be better understood and influenced using social networks analysis (SNA) Intuitively, we all appreciate that we can be influenced by our friends and peers in what we do, how we behave, and what products we...
The Art of Data Analysis. How to Answer Almost Any Question Using Basic Statistics
Kristin Jarman H.
A friendly and accessible approach to applying statistics in the real world With an emphasis on critical thinking, The Art of Data Analysis: How to Answer Almost Any Question Using Basic Statistics presents fun and unique examples, guides...
Integral and Measure. From Rather Simple to Rather Complex
Vigirdas Mackevicius
This book is devoted to integration, one of the two main operations in calculus. In Part 1, the definition of the integral of a one-variable function is different (not essentially, but rather methodically) from traditional definitions of Riemann...
Primes of the Form x2+ny2. Fermat, Class Field Theory, and Complex Multiplication
David Cox A.
An exciting approach to the history and mathematics of number theory “. . . the author’s style is totally lucid and very easy to read . . .the result is indeed a wonderful story.” —Mathematical Reviews Written in a unique and accessible style...
Business Intelligence. Data Mining and Optimization for Decision Making
Carlo Vercellis
Business intelligence is a broad category of applications and technologies for gathering, providing access to, and analyzing data for the purpose of helping enterprise users make better business decisions. The term implies having a comprehensive...
Introduction to Mixed Modelling. Beyond Regression and Analysis of Variance
N. Galwey W.
Mixed modelling is very useful, and easier than you think! Mixed modelling is now well established as a powerful approach to statistical data analysis. It is based on the recognition of random-effect terms in statistical models, leading to...
Time Series. Applications to Finance with R and S-Plus
Ngai Chan Hang
A new edition of the comprehensive, hands-on guide to financial time series, now featuring S-Plus® and R software Time Series: Applications to Finance with R and S-Plus®, Second Edition is designed to present an in-depth introduction to the...
Modelling Under Risk and Uncertainty. An Introduction to Statistical, Phenomenological and Computational Methods
Etienne Rocquigny de
Modelling has permeated virtually all areas of industrial, environmental, economic, bio-medical or civil engineering: yet the use of models for decision-making raises a number of issues to which this book is dedicated: How uncertain is my model...
Quantitative Methods. An Introduction for Business Management
Paolo Brandimarte
An accessible introduction to the essential quantitative methods for making valuable business decisions Quantitative methods-research techniques used to analyze quantitative data-enable professionals to organize and understand numbers and, in...
Extremes in Random Fields. A Theory and Its Applications
Benjamin Yakir
Presents a useful new technique for analyzing the extreme-value behaviour of random fields Modern science typically involves the analysis of increasingly complex data. The extreme values that emerge in the statistical analysis of complex data...
An Introduction to Statistical Computing. A Simulation-based Approach
Jochen Voss
A comprehensive introduction to sampling-based methods in statistical computing The use of computers in mathematics and statistics has opened up a wide range of techniques for studying otherwise intractable problems. Sampling-based simulation...
Statistical Inference. A Short Course
Michael Panik J.
A concise, easily accessible introduction to descriptive and inferential techniques Statistical Inference: A Short Course offers a concise presentation of the essentials of basic statistics for readers seeking to acquire a working knowledge of...
Statistics for Compensation. A Practical Guide to Compensation Analysis
John Davis H.
An insightful, hands-on focus on the statistical methods used by compensation and human resources professionals in their everyday work Across various industries, compensation professionals work to organize and analyze aspects of employment that...
Real Analysis. A Historical Approach
Saul Stahl
A provocative look at the tools and history of real analysis This new edition of Real Analysis: A Historical Approach continues to serve as an interesting read for students of analysis. Combining historical coverage with a superb introductory...
The Ellipse. A Historical and Mathematical Journey
Arthur Mazer
Explores the development of the ellipse and presents mathematical concepts within a rich, historical context The Ellipse features a unique, narrative approach when presenting the development of this mathematical fixture, revealing its parallels...
The Mathematics of Infinity. A Guide to Great Ideas
Theodore Faticoni G.
Praise for the First Edition «. . . an enchanting book for those people in computer science or mathematics who are fascinated by the concept of infinity.»—Computing Reviews «. . . a very well written introduction to set theory . . . easy to read...
Logic as a Tool. A Guide to Formal Logical Reasoning
Valentin Goranko
Written in a clear, precise and user-friendly style, Logic as a Tool: A Guide to Formal Logical Reasoning is intended for undergraduates in both mathematics and computer science, and will guide them to learn, understand and master the use of...
Complex Surveys. A Guide to Analysis Using R
Thomas Lumley
A complete guide to carrying out complex survey analysis using R As survey analysis continues to serve as a core component of sociological research, researchers are increasingly relying upon data gathered from complex surveys to carry out...
An Introduction to Mathematical Modeling. A Course in Mechanics
J. Oden Tinsley
A modern approach to mathematical modeling, featuring unique applications from the field of mechanics An Introduction to Mathematical Modeling: A Course in Mechanics is designed to survey the mathematical models that form the foundations of...
Spatial Statistics and Spatio-Temporal Data. Covariance Functions and Directional Properties
Michael Sherman
In the spatial or spatio-temporal context, specifying the correct covariance function is fundamental to obtain efficient predictions, and to understand the underlying physical process of interest. This book focuses on covariance and variogram...
Fibonacci and Catalan Numbers. An Introduction
Ralph Grimaldi
Discover the properties and real-world applications of the Fibonacci and the Catalan numbers With clear explanations and easy-to-follow examples, Fibonacci and Catalan Numbers: An Introduction offers a fascinating overview of these topics that...
Statistical Robust Design. An Industrial Perspective
Magnus Arner
A UNIQUELY PRACTICAL APPROACH TO ROBUST DESIGN FROM A STATISTICAL AND ENGINEERING PERSPECTIVE Variation in environment, usage conditions, and the manufacturing process has long presented a challenge in product engineering, and reducing variation...
Meta-Analysis. A Structural Equation Modeling Approach
Mike Cheung W.-L.
Presents a novel approach to conducting meta-analysis using structural equation modeling. Structural equation modeling (SEM) and meta-analysis are two powerful statistical methods in the educational, social, behavioral, and medical sciences....
Applied Survey Methods. A Statistical Perspective
Jelke Bethlehem
A complete, hands-on guide to the use of statistical methods for obtaining reliable and practical survey research Applied Survey Methods provides a comprehensive outline of the complete survey process, from design to publication. Filling a gap...
ANOVA and ANCOVA. A GLM Approach
Andrew Rutherford
Provides an in-depth treatment of ANOVA and ANCOVA techniques from a linear model perspective ANOVA and ANCOVA: A GLM Approach provides a contemporary look at the general linear model (GLM) approach to the analysis of variance (ANOVA) of one-...
Problem Solving and Data Analysis Using Minitab. A Clear and Easy Guide to Six Sigma Methodology
Rehman Khan M.
Six Sigma statistical methodology using Minitab Problem Solving and Data Analysis using Minitab presents example-based learning to aid readers in understanding how to use MINITAB 16 for statistical analysis and problem solving. Each example and...
Surveying Cultures. Discovering Shared Conceptions and Sentiments
David Heise R.
Surveying Cultures uniquely employs techniques rooted in survey methodology to discover cultural patterns in social science research. Examining both classical and emerging methods that are used to survey and assess differing norms among...
Empirical Model Building. Data, Models, and Reality
James Thompson R.
Praise for the First Edition «This…novel and highly stimulating book, which emphasizes solving real problems…should be widely read. It will have a positive and lasting effect on the teaching of modeling and statistics in general.» – Short Book...
Engineering Optimization. An Introduction with Metaheuristic Applications
Xin-She Yang
An accessible introduction to metaheuristics and optimization, featuring powerful and modern algorithms for application across engineering and the sciences From engineering and computer science to economics and management science, optimization...
Forecasting in Financial and Sports Gambling Markets. Adaptive Drift Modeling
William Mallios S.
A guide to modeling analyses for financial and sports gambling markets, with a focus on major current events Addressing the highly competitive and risky environments of current-day financial and sports gambling markets, Forecasting in Financial...
