Methods

This reader-friendly introduction to the fundamental concepts and techniques of numerical analysis/numerical methods develops concepts and techniques in a clear, concise, easy-to- read manner, followe

Comprehensive text shows the "how" or methods for successful transitions. Instructs future teachers how to prepare students with disabilities for quality lives as adults through evidence-based best p

The first comprehensive guide to combining traditional natural materials and modern construction methods. From adobe to straw bales, traditional building materials are being adapted to meet code-req

Models and Methods in Social Network Analysis, first published in 2005, presents the most important developments in quantitative models and methods for analyzing social network data that have appeared during the 1990s. Intended as a complement to Wasserman and Faust's Social Network Analysis: Methods and Applications, it is a collection of articles by leading methodologists reviewing advances in their particular areas of network methods. Reviewed are advances in network measurement, network sampling, the analysis of centrality, positional analysis or blockmodelling, the analysis of diffusion through networks, the analysis of affiliation or 'two-mode' networks, the theory of random graphs, dependence graphs, exponential families of random graphs, the analysis of longitudinal network data, graphical techniques for exploring network data, and software for the analysis of social networks.

Models and Methods in Social Network Analysis, first published in 2005, presents the most important developments in quantitative models and methods for analyzing social network data that have appeared during the 1990s. Intended as a complement to Wasserman and Faust's Social Network Analysis: Methods and Applications, it is a collection of articles by leading methodologists reviewing advances in their particular areas of network methods. Reviewed are advances in network measurement, network sampling, the analysis of centrality, positional analysis or blockmodelling, the analysis of diffusion through networks, the analysis of affiliation or 'two-mode' networks, the theory of random graphs, dependence graphs, exponential families of random graphs, the analysis of longitudinal network data, graphical techniques for exploring network data, and software for the analysis of social networks.

Diverging from the usual exposition of proofs, this textbook focuses on the methods of mathematics and how they are applied in science and engineering. It also examines discrete and continuous situati

Focusing on the statistical methods most frequently used in the health care literature and featuring numerous charts, graphs, and up-to-date examples from the literature, this text provides a thoroug

Can qualitative and quantitative methods be combined effectively in psychology? What are the practical and theoretical issues involved? Should different criteria be used to judge qualitative and quant

The Handbook of Research Methods in Developmental Science is a collection of newly written articles that provide an overview of methods and approaches associated with the study of human development. C

Handbook of Human Factors and Ergonomics Methods presents more than 90 recognized methods, including information on the assessment and measurement of physical, environmental, physiological, psycholog

Kernel methods provide a powerful and unified framework for pattern discovery, motivating algorithms that can act on general types of data (e.g. strings, vectors or text) and look for general types of relations (e.g. rankings, classifications, regressions, clusters). The application areas range from neural networks and pattern recognition to machine learning and data mining. This book, developed from lectures and tutorials, fulfils two major roles: firstly it provides practitioners with a large toolkit of algorithms, kernels and solutions ready to use for standard pattern discovery problems in fields such as bioinformatics, text analysis, image analysis. Secondly it provides an easy introduction for students and researchers to the growing field of kernel-based pattern analysis, demonstrating with examples how to handcraft an algorithm or a kernel for a new specific application, and covering all the necessary conceptual and mathematical tools to do so.

Scattering-based numerical methods are increasingly applied to the numerical simulation of distributed time-dependent physical systems. These methods, which possess excellent stability and stability v

From the reviews:"...This text provides an excellent introduction to each of the discussed topics as well as providing an up-to-date review of the current bodies of work while highlighting areas that

The study of the electronic structure of materials is at a momentous stage, with the emergence of computational methods and theoretical approaches. Many properties of materials can now be determined d

This book is a thorough update of the original Methods and Materials of Demography (1976). Every chapter is new, written exclusively for this edition.Like the original, Red Book, the Second Edition pr

Advanced praise for Transfer Pricing Methods"Feinschreiber and a team of renowned executives have provided the definitive transfer-pricing guide to this challenging area. At a time when many companies

"UPGRADE MANUFACTURING AND SERVICE PERFORMANCE WITH POWERFUL STATISTICAL TOOLS There's no better way to master the most rigorous statistical methods available for analyzing the performance of complex

Synthesis is one of the major endeavours of the organic chemist, and the design of a successful synthesis requires a sound knowledge of functional group chemistry, stereochemistry and organic reaction

A collection of cutting-edge methods for investigating G protein signaling from a variety of perspectives ranging from in vitro biochemistry to whole animal studies. Among the readily reproducible tec

Now available in paperback, this book covers some recent developments in statistical inference. It provides methods applicable in problems involving nuisance parameters such as those encountered in co

This book develops the use of Monte Carlo methods in finance, and it also uses simulation as a vehicle for presenting models and ideas from financial engineering. It divides roughly into three parts.

This book is an effective, concise text for students and researchers that combines the tools of dynamic programming with numerical techniques and simulation-based econometric methods. Doing so, it br

Tremendous progress has been made in the scientific and engineering disciplines regarding the use of iterative methods for linear systems. This second edition gives an in-depth, up-to-date view of pra

As demand continues for cleanup of hazardous sites, and new opportunities and funds become available for development of brownfields and similar projects, owners are seeking better methods for early id

Designed to prepare readers to better understand the current literature in research journals, this book explains the basics of classical PDEs and a wide variety of more modern methods—especially the u

Sample surveys play a vital role in modern society in allowing us to collect and process data about particular groups. Sample Survey: Principles and Methods aims to provide a digestible but comprehens

The third edition of this introductory text on statistical ideas and methods in agriculture and experimental biology offers treatment of more advanced topics, with two new chapters on methods of multi

This book, first published in 2002, contains an introduction to hyperbolic partial differential equations and a powerful class of numerical methods for approximating their solution, including both linear problems and nonlinear conservation laws. These equations describe a wide range of wave propagation and transport phenomena arising in nearly every scientific and engineering discipline. Several applications are described in a self-contained manner, along with much of the mathematical theory of hyperbolic problems. High-resolution versions of Godunov's method are developed, in which Riemann problems are solved to determine the local wave structure and limiters are then applied to eliminate numerical oscillations. These methods were originally designed to capture shock waves accurately, but are also useful tools for studying linear wave-propagation problems, particularly in heterogenous material. The methods studied are implemented in the CLAWPACK software package and source code for al

Presenting statistical methods for the genetic analysis of quantitative traits, 12 contributions review recent methodologies in the areas of human traits underlying disease, experimental organisms as

A concise guide of essential data compression methods and algorithms for text, audio and imaging data.

This very practical, how-to text provides the beginning researcher with the basics of applied behavior analysis research methods. In 10 logical steps, this text covers all of the elements of single-s

Quantitative Methods for Finance and Investments ensures that readers come away from reading it with a reasonable degree of comfort and proficiency in applying elementary mathematics to several types

Quantitative Methods for Finance and Investments ensures that readers come away from reading it with a reasonable degree of comfort and proficiency in applying elementary mathematics to several types

This book provides comprehensive coverage of methods for the empirical evaluation of computer vision techniques. The practical use of computer vision requires empirical evaluation to ensure that the o

An extensive revision, this classic text presents the most recent advances in social research design and methodology. The authors thoroughly describe the research process using methods derived from ba

Financial econometrics is a great success story in economics. Econometrics uses data and statistical inference methods, together with structural and descriptive modeling, to address rigorous economic

Selected Mathematical Methods in Theoretical Physics shows how a scientist, knowing the answer to a problem intuitively or through experiment, can develop a mathematical method to prove that answer. T

Weinberg (social and political sciences, U. of Cambridge) presents a selection of 17 previously published classical and contemporary readings that are ambitiously intended not only to acquaint the rea

The explanation and implementation of statistical methods for the medical researcher or statistician remains an integral part of modern medical research. This book explains the use of experimental and