Mathematics

A valuable guide to conducting experiments and analyzing data across a wide range of applications Experimental design is an important component of the scientific method.

At last a social scientist's guide through the pitfalls of modern statistical computing Addressing the current deficiency in the literature on statistical methods as they apply to the social and behavioral sciences, Numerical Issues in Statistical Computing for the Social Scientist seeks to provide readers with a unique practical guidebook to the numerical methods underlying computerized statistical calculations specific to these fields.

A comprehensive perspective on Weibull models The literature on Weibull models is vast, disjointed, andscattered across many different journals.

Master the essential statistical skills used in social and behavioral sciences Essentials of Statistics for the Social and Behavioral Sciences distills the overwhelming amount of material covered in introductory statistics courses into a handy, practical resource for students and professionals.

Each topic starts with an explanation of the theoretical background necessary to allow full understanding of the technique and to facilitate future learning of more advanced or new methods and software Explanations are designed to assume as little background in mathematics and statistical theory as possible, except that some knowledge of calculus is necessary for certain parts.

A guide to achieving business successes through statistical methods Statistical methods are a key ingredient in providing data-based guidance to research and development as well as to manufacturing.

Expert coverage of the design and implementation of state estimation algorithms for tracking and navigation Estimation with Applications to Tracking and Navigation treats the estimation of various quantities from inherently inaccurate remote observations.

Although data engineering is a multi-disciplinary field with applications in control, decision theory, and the emerging hot area of bioinformatics, there are no books on the market that make the subject accessible to non-experts.

A one-stop reference to the major techniques for analyzing microwave planar transmission line structures The last two decades have seen important progress in the development of methods for the analysis of microwave and millimeter-wave passive structures, which contributed greatly to microwave integrated circuit design while also stimulating the development of new planar transmission lines.

A timely and authoritative guide to the state of the art of wave scattering Scattering of Electromagnetic Waves offers in three volumes a complete and up-to-date treatment of wave scattering by random discrete scatterers and rough surfaces.

Praise for the first edition "e;This book is clearly written and presents a large number of examples illustrating the theory .

Praise for the Second Edition "e;Statistics for Research has other fine qualities besides superior organization.

Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue.

Provides a foundation for probability based on game theory rather than measure theory.

Balanced coverage of the methodology and theory of numerical methods in finance Numerical Methods in Finance bridges the gap between financial theory and computational practice while helping students and practitioners exploit MATLAB for financial applications.

A thorough review of the most current regression methods in time series analysis Regression methods have been an integral part of time series analysis for over a century.

A significantly revised and improved introduction to a critical aspect of scientific computation Matrix computations lie at the heart of most scientific computational tasks.

A comprehensive introduction to convexity and optimization inRn This book presents the mathematics of finite dimensionalconstrained optimization problems.

Fundamental concepts of mathematical modeling Modeling is one of the most effective, commonly used tools in engineering and the applied sciences.

Elements of Financial Time Series fills a gap in the market in the area of financial time series analysis by giving both conceptual and practical illustrations.

Forget the jargon.

Designed to help motivate the learning of advanced calculus by demonstrating its relevance in the field of statistics, this successful text features detailed coverage of optimization techniques and their applications in statistics while introducing the reader to approximation theory.

An introduction to classical biostatistical methods in epidemiology Biostatistical Methods in Epidemiology provides an introduction to a wide range of methods used to analyze epidemiologic data, with a focus on nonregression techniques.

Includes a solution manual for problems.

* The first book on the subject.

An accessible introduction to probability, stochastic processes, and statistics for computer science and engineering applicationsSecond edition now also available in Paperback.

Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue.

Introducing a groundbreaking companion book to a bestselling reliability text Reliability is one of the most important characteristics defining the quality of a product or system, both for the manufacturer and the purchaser.

Peruse the history of survey research and the essential conceptsfor data quality.

Accessible to medicine- and/or public policy-related audiences, as well as most statisticians.

Written for practitioners of data mining, data cleaning and database management.

A comprehensive account of economic size distributions around the world and throughout the years In the course of the past 100 years, economists and applied statisticians have developed a remarkably diverse variety of income distribution models, yet no single resource convincingly accounts for all of these models, analyzing their strengths and weaknesses, similarities and differences.

Wavelet Transformations and Their Applications in Chemistry pioneers a new approach to classifying existing chemometric techniques for data analysis in one and two dimensions, using a practical applications approach to illustrating chemical examples and problems.

State-of-the-art coverage of modern computational methods for the analysis and design of beams Analysis and Design of Elastic Beams presents computer models and applications related to thin-walled beams such as those used in mechanical and aerospace designs, where thin, lightweight structures with high strength are needed.

* Includes a new chapter on logistic regression.

Emphasizes the strategy of experimentation, data analysis, and the interpretation of experimental results.

A mathematical gem freshly cleaned and polished This book is intended to be used as the text for a first course in combinatorics.

* Unique in its survey of the range of topics.

PRAISE FOR LIGHT YEARS AND TIME TRAVEL "e;This immensely likeable work of pop science traces 'man's enduring fascination with light,' from Aristotle's plans for a death ray (burning enemy ships with a giant array of mirrors) to a recent experiment that seems to have sent Mozart's 40th Symphony faster than light, and thus back through time.

The only guide to managing and integrating the open source model With the phenomenal success of Linux, companies are taking open source business solutions much more seriously than ever before.

Master math at your own pace!

An introductory guide to smoothing techniques, semiparametric estimators, and their related methods, this book describes the methodology via a selection of carefully explained examples and data sets.

This book covers all the latest advances, as well as more established methods, in the application of statistical and optimisation methods within modern industry.

Don't Just Learn Measurement.

The decision to implement environmental protection options is a political one.

Interest in algorithmic trading is growing massively it s cheaper, faster and better to control than standard trading, it enables you to pre-think the market, executing complex math in real time and take the required decisions based on the strategy defined.

The decision to implement environmental protection options is a political one.

At present there is no unified treatment, drawing together models to allow a consistent and reliable set of migration flows, across countries.

Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence acts as a source of basic methods for scientists wanting to combine evidence from different experiments.

Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge.