математика
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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,...
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...
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...
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...
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...
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...
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:...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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 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...
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,...
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...
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,...
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...
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...
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...
