Mathematics

This book offers a predominantly theoretical coverage of statistical prediction, with some potential applications discussed, when data and/ or parameters belong to a large or infinite dimensional space.

Heavy-tailed distributions are typical for phenomena in complex multi-component systems such as biometry, economics, ecological systems, sociology, web access statistics, internet traffic, biblio-metrics, finance and business.

Symbolic data analysis is a relatively new field that provides a range of methods for analyzing complex datasets.

R, an Open Source software, has become the de facto statistical computing environment.

"e;This well-written book provides a clear and accessible treatment of the theory of discrete and continuous-time Markov chains, with an emphasis towards applications.

ASSESSMENT METHODS IN STATISTICAL EDUCATION ASSESSMENT METHODS IN STATISTICAL EDUCATION AN INTERNATIONAL PERSPECTIVE Assessment Methods in Statistical Education: An International Perspective provides a modern, international perspective on assessing students of statistics in higher education.

Computational Colour Science Using MATLAB 2nd Edition offers a practical, problem-based approach to colour physics.

This text is an accessible, student-friendly introduction to the wide range of mathematical and statistical tools needed by the forensic scientist in the analysis, interpretation and presentation of experimental measurements.

Written by a teacher with many years' experience of teaching mathematics to primary school dyslexic and dyspraxic children with a wide range of abilities, this book is designed to be a practical teaching guide.

This important textbook provides an introduction to the concepts of the newly developed extended finite element method (XFEM) for fracture analysis of structures, as well as for other related engineering applications.

Text Mining: Applications and Theory presents the state-of-the-art algorithms for text mining from both the academic and industrial perspectives.

Complex multivariate testing problems are frequently encountered in many scientific disciplines, such as engineering, medicine and the social sciences.

High response rates have traditionally been considered as one of the main indicators of survey quality.

In recent years, Fourier transform methods have emerged as one of the major methodologies for the evaluation of derivative contracts, largely due to the need to strike a balance between the extension of existing pricing models beyond the traditional Black-Scholes setting and a need to evaluate prices consistently with the market quotes.

Autoregressive Conditional Heteroskedastic (ARCH) processes are used in finance to model asset price volatility over time.

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.

We all face risks in a variety of ways, as individuals, businesses and societies.

Batch Effects and Noise in Microarray Experiments: Sources and Solutions looks at the issue of technical noise and batch effects in microarray studies and illustrates how to alleviate such factors whilst interpreting the relevant biological information.

This book focuses on computational methods for large-scale statistical inverse problems and provides an introduction to statistical Bayesian and frequentist methodologies.

This is an applied handbook for the application of data mining techniques in the CRM framework.

This book is an introductory guide to using L vy processes for credit risk modelling.

In recent years, Fourier transform methods have emerged as one of the major methodologies for the evaluation of derivative contracts, largely due to the need to strike a balance between the extension of existing pricing models beyond the traditional Black-Scholes setting and a need to evaluate prices consistently with the market quotes.

Bayesian Networks: An Introduction provides a self-contained introduction to the theory and applications of Bayesian networks, a topic of interest and importance for statisticians, computer scientists and those involved in modelling complex data sets.

This book provides a practical guide to analysis of simple and complex method comparison data, using Stata, SAS and R.

This handy pocket book will help veterinary nurses with all types of calculations.

Practical Statistics for Geographers and Earth Scientists provides an introductory guide to the principles and application of statistical analysis in context.

Statistical methodology is of great importance to medical research and clinical practice.

Markov Chain Monte Carlo (MCMC) methods are now an indispensable tool in scientific computing.

There is an increasing need throughout the biomedical sciences for a greater understanding of knowledge-based systems and their application to genomic and proteomic research.

Stochastic processes are widely used for model building in the social, physical, engineering and life sciences as well as in financial economics.

Effective Experimentation is a practical book on how to design and analyse experiments.

Due to the widespread use of surveys in agricultural resources estimation there is a broad and recognizable interest in methods and techniques to collect and process agricultural data.

This is the first text to examine the use of statistical methods in forensic science and bayesian statistics in combination.

Technical Math For Dummies is your one-stop, hands-on guide to acing the math courses you ll encounter as you work toward getting your degree, certification, or license in the skilled trades.

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.

A comprehensive treatment of statistical applications for solving real-world environmental problems A host of complex problems face today's earth science community, such as evaluating the supply of remaining non-renewable energy resources, assessing the impact of people on the environment, understanding climate change, and managing the use of water.

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.

Explore cutting-edge statistical methodologies for collecting, analyzing, and modeling online auction data Online auctions are an increasingly important marketplace, as the new mechanisms and formats underlying these auctions have enabled the capturing and recording of large amounts of bidding data that are used to make important business decisions.

Explore the main algebraic structures and number systems that play a central role across the field of mathematics Algebra and number theory are two powerful branches of modern mathematics at the forefront of current mathematical research, and each plays an increasingly significant role in different branches of mathematics, from geometry and topology to computing and communications.

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 is a core component for problem solving.

The presentation of a novel theory in orthogonal regression The literature about neural-based algorithms is often dedicated to principal component analysis (PCA) and considers minor component analysis (MCA) a mere consequence.

Written by one of the developers of the technology, Hashing is both a historical document on the development of hashing and an analysis of the applications of hashing in a society increasingly concerned with security.

The updated new edition of the classic and comprehensive guide to the history of mathematics For more than forty years, A History of Mathematics has been the reference of choice for those looking to learn about the fascinating history of humankind s relationship with numbers, shapes, and patterns.

A one-of-a-kind resource on identifying and dealing with bias in statistical research on causal effects Do cell phones cause cancer?

The updated new edition of the classic and comprehensive guide to the history of mathematics For more than forty years, A History of Mathematics has been the reference of choice for those looking to learn about the fascinating history of humankind s relationship with numbers, shapes, and patterns.

A new edition of the trusted guide on commonly used statistical distributions Fully updated to reflect the latest developments on the topic, Statistical Distributions, Fourth Edition continues to serve as an authoritative guide on the application of statistical methods to research across various disciplines.

Technical Math For Dummies is your one-stop, hands-on guide to acing the math courses you ll encounter as you work toward getting your degree, certification, or license in the skilled trades.

The first part of this book is devoted to methods seeking relevant dimensions of data.

A unique collaboration featuring the latest methodologies and research on multi- and cross-national surveys Over the past two decades, the relevance of cross-national and cross-cultural methodologies has heightened across various fields of study.

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, marketing, and pharmacy.