Methods of Nonlinear Analysis

This widely praised book shows how equivalent statistical methods can be applied in either SAS or R, enabling users of each software package to learn how to apply the methods in the other. The book co

Up-to-date coverage of hydrology fundamentals, methods, and applicationsThis comprehensive engineering textbook offers a thorough overview of all aspects of hydrology. It combines detailed coverage of

In this second edition of Counterfactuals and Causal Inference, completely revised and expanded, the essential features of the counterfactual approach to observational data analysis are presented with examples from the social, demographic, and health sciences. Alternative estimation techniques are first introduced using both the potential outcome model and causal graphs; after which, conditioning techniques, such as matching and regression, are presented from a potential outcomes perspective. For research scenarios in which important determinants of causal exposure are unobserved, alternative techniques, such as instrumental variable estimators, longitudinal methods, and estimation via causal mechanisms, are then presented. The importance of causal effect heterogeneity is stressed throughout the book, and the need for deep causal explanation via mechanisms is discussed.

In this second edition of Counterfactuals and Causal Inference, completely revised and expanded, the essential features of the counterfactual approach to observational data analysis are presented with examples from the social, demographic, and health sciences. Alternative estimation techniques are first introduced using both the potential outcome model and causal graphs; after which, conditioning techniques, such as matching and regression, are presented from a potential outcomes perspective. For research scenarios in which important determinants of causal exposure are unobserved, alternative techniques, such as instrumental variable estimators, longitudinal methods, and estimation via causal mechanisms, are then presented. The importance of causal effect heterogeneity is stressed throughout the book, and the need for deep causal explanation via mechanisms is discussed.

Surveys the theory and methods used in the analysis and design of permanent magnet and electromechanical devices. Furlani (Eastman Kodak) begins with the properties of magnetic materials, a review of

The fourth edition of this popular graduate textbook, like its predecessors, presents a balanced and comprehensive treatment of both time and frequency domain methods with accompanying theory. Numerou

Mackler (theology, Duquesne U.) compares the bioethical positions of the Jewish and Roman Catholic faiths. The volume begins with an overview of the central values and moral methods of the two traditi

With the aim of providing a historical account and framework, the author brings together six essays on various methods of computer-assisted music analysis, along with two bibliographies (alphabetical

Methods of global analysis and stochastic analysis are most often applied in mathematical physics as separate entities, thus forming important directions in the field. However, while combination of th

Presents joint time-frequency processing methods adapted to radar applications. Chen (U.S. Naval Research Laboratory) and Ling (University of Texas) focus on the extraction of target features from the

This book presents the statistical analysis of compositional data using the log-ratio approach. It includes a wide range of classical and robust statistical methods adapted for compositional data anal

Beginning with a concise overview of DNA analysis methods and their use in identifying victims of mass fatalities, this volume provides comprehensive training in these techniques. The book discusses D

Jones (agronomy, U. of Georgia) offers some historical background on the assay methods in common use today, describes the basis and range of applications, and sets out the requirements for conducting

Data Analysis, Data Handling and Business Intelligence are research areas at the intersection of computer science, artificial intelligence, mathematics, and statistics. They cover general methods and

Economists, psychologists, and marketers are interested in determining the monetary value people place on non-market goods for a variety of reasons: to carry out cost-benefit analysis, to determine the welfare effects of technological innovation or public policy, to forecast new product success, and to understand individual and consumer behavior. Unfortunately, many currently available techniques for eliciting individuals' values suffer from a serious problem in that they involve asking individuals hypothetical questions about intended behavior. Experimental auctions circumvent this problem because they involve individuals exchanging real money for real goods in an active market. This represents a promising means for eliciting non-market values. Lusk and Shogren provide a comprehensive guide to the theory and practice of experimental auctions. It will be a valuable resource to graduate students, practitioners and researchers concerned with the design and utilization of experimental auc

The Routledge Companion to Popular Music Analysis: Expanding Approaches widens the scope of analytical approaches for popular music by incorporating methods developed for analyzing contemporary art mu

?This book describes argumentative tools and strategies that can be used to guide policy decisions under conditions of great uncertainty. Contributing authors explore methods from philosophical analys

"Covers the use of established computational methods, such as finite element method (FEM) and multi body simulation (MBS), and their appropriate use within load analysis for durability"--

Advances in mathematical methods, computer technology, and electrotechnical devices in particular continue to result in the creation of programs that are leading to increased labor productivity. Mathe

This book, originally published in 1990, deals with the stabilisation and control of an economic system in a dynamic setting. Unlike studies which consider only the case of centralised policy-making, Professor Petit examines both the situation in which policy decisions are taken by a single policy-maker and the case of group policy-making. The wide-ranging economic implications of the use of these methods are thoroughly discussed. The tools of optimal control and differential game theory, and their advantages and drawbacks, are examined, along with methodological implications of introducing expectations into the policy problem. This lucid and comprehensive study of control theory and dynamic games will be of great use both to economists interested in learning mathematical methods and to mathematicians interested in their economic applications.

Instead of presenting the standard theoretical treatments that underlie the various numerical methods used by scientists and engineers, Using R for Numerical Analysis in Science and Engineering shows

Featuring a practical approach with numerous examples, this book focuses on helping the reader develop a conceptual, rather than technical, understanding of categorical methods, making it a much more

The use of formal statistical methods to analyse quantitative data in forensic science has increased considerably over the last few years. Students, researchers and practitioners in forensic science r

Data Analysis in the Cloud introduces and discusses models, methods, techniques, and systems to analyze the large number of digital data sources available on the Internet using the computing and stor

The book presents a long list of useful methods for classification, clustering and data analysis. By combining theoretical aspects with practical problems, it is designed for researchers as well as fo

This book explores the theory and methods of systems analysis and computer modeling as applied to problems in ecology and natural resource management. It reflects the problems and conflicts between co

A COMPLETE GUIDE TO FLUID POWER PUMPS AND MOTORSWritten by an expert in the field of fluid power, this book provides proven methods for analyzing, designing, and controlling high-performance axial-pis

Part of SAGE's Mastering Business Research Methods series, conceived and edited by Bill Lee, Mark N. K. Saunders and Vadake K. Narayanan and designed to support students by providing in-depth and prac

An eighth-century scholar and linguist born in Persia, Sibawayh is to Arabic linguistics what Panini is to Indian linguistics. He departed from the traditional methods of doing analysis to launch a mo

This 5th edition of this popular graduate textbook, presents a balanced and comprehensive treatment of both time and frequency domain methods with accompanying theory. It includes numerous examples using nontrivial data illustrate solutions to problems such as discovering natural and anthropogenic climate change, evaluating pain perception experiments using functional magnetic resonance imaging, and monitoring a nuclear test ban treaty. The R package 'astsa' has had major updates and the text will reflect those updates. In general, the graphics have been improved. New topics include random number generation, modeling and fitting predator-prey interactions, more emphasis on structural models, testing for linearity, discussion of EM algorithm is more extensive, Bayesian analysis of state space models and MCMC is more extensive (including new scripts in astsa), particle methods are introduced, stochastic volatility coverage is expanded, changepoint detection is introduced (new topic).The

Text is everywhere, and it is a fantastic resource for social scientists. However, because it is so abundant, and because language is so variable, it is often difficult to extract the information we want. There is a whole subfield of AI concerned with text analysis (natural language processing). Many of the basic analysis methods developed are now readily available as Python implementations. This Element will teach you when to use which method, the mathematical background of how it works, and the Python code to implement it.

The two oil price shocks of 1973-74 and 1979-80 have been by far the largest price movements to occur in the international economy in the postwar period. This book analyses the adjustments made by oil importing developing countries to those shocks with a view both to understanding an important episode in recent economic history, and to eliciting lessons that can guide successful adjustment to similar events in the future. Unlike other treatments of this subject, the findings of the study are derived by combining a broad-brush approach that covers a large number of countries with the development of techniques that permit an in-depth investigation into a few selected countries. The study develops quantitative economic methods and applies them to contemporary problems in order to yield useful insights for policy makers.

In recent years a range of formal methods of spatial analysis have been developed for the study of human engagement, experience and socialisation within the built environment. This volume brings toget

The Seismic Analysis Code (SAC) is one of the most widely used analysis packages for regional and teleseismic seismic data. For the first time, this book provides users at introductory and advanced levels with a complete guide to SAC. It leads new users of SAC through the steps of learning basic commands, describes the SAC processing philosophy, and presents its macro language in full, supported throughout with example inputs and outputs from SAC. For more experienced practitioners, the book describes SAC's many hidden features, including advanced graphics aspects, its file structure, how to write independent programs to access and create files, and much more. Tutorial exercises engage users with newly acquired skills, providing data and code to implement the standard methods of teleseismic shear-wave splitting and receiver function analysis. Methodical and authoritative, this is a key resource for researchers and graduate students in global seismology, earthquake seismology and geophy

The Seismic Analysis Code (SAC) is one of the most widely used analysis packages for regional and teleseismic seismic data. For the first time, this book provides users at introductory and advanced levels with a complete guide to SAC. It leads new users of SAC through the steps of learning basic commands, describes the SAC processing philosophy, and presents its macro language in full, supported throughout with example inputs and outputs from SAC. For more experienced practitioners, the book describes SAC's many hidden features, including advanced graphics aspects, its file structure, how to write independent programs to access and create files, and much more. Tutorial exercises engage users with newly acquired skills, providing data and code to implement the standard methods of teleseismic shear-wave splitting and receiver function analysis. Methodical and authoritative, this is a key resource for researchers and graduate students in global seismology, earthquake seismology and geophy

●PRINCIPLES OF INSTRUMENTAL ANALYSIS offers the most current data in its coverage and end-of-chapter problem sets, and the authors present material in a student-friendly style that is active and engaging. Examples throughout each chapter aid in solving relevant and interesting problems. The solutions to the problems in each example are indicated so that students can easily separate the problem setup from the problem solution.●Spreadsheet applications have been included throughout to illustrate how these powerful programs can be applied to instrumental methods. Problems accompanied by an icon encourage the use of spreadsheets. When a more detailed approach is required or supplemental reading is appropriate, readers are referred to the authors' companion book, Applications of Microsoft® Excel in Analytical Chemistry, 3e. Those who purchase PRINCIPLES OF INSTRUMENTAL ANALYSIS have full access to this companion text at www.tinyurl.com/skoogpia7. This companion provides assistance in unders

Machine learning methods originated from artificial intelligence and are now used in various fields in environmental sciences today. This is the first single-authored textbook providing a unified treatment of machine learning methods and their applications in the environmental sciences. Due to their powerful nonlinear modelling capability, machine learning methods today are used in satellite data processing, general circulation models(GCM), weather and climate prediction, air quality forecasting, analysis and modelling of environmental data, oceanographic and hydrological forecasting, ecological modelling, and monitoring of snow, ice and forests. The book includes end-of-chapter review questions and an appendix listing websites for downloading computer code and data sources. A resources website contains datasets for exercises, and password-protected solutions are available. The book is suitable for first-year graduate students and advanced undergraduates. It is also valuable for resear

This book gathers an expert group of social scientists to showcase emerging forms of analysis and evaluation for public policy analysis. Each chapter highlights a different method or approach, putting

This book gathers an expert group of social scientists to showcase emerging forms of analysis and evaluation for public policy analysis. Each chapter highlights a different method or approach, putting

This unique book describes the fundamental concepts, theories and practice of visual cryptography. The design, construction, analysis, and application of visual cryptography schemes (VCSs) are discuss