Methods of Nonlinear Analysis

This introduction to dimensional analysis covers the methods, history and formalisation of the field, and provides physics and engineering applications. Covering topics from mechanics, hydro- and electrodynamics to thermal and quantum physics, it illustrates the possibilities and limitations of dimensional analysis. Introducing basic physics and fluid engineering topics through the mathematical methods of dimensional analysis, this book is perfect for students in physics, engineering and mathematics. Explaining potentially unfamiliar concepts such as viscosity and diffusivity, the text includes worked examples and end-of-chapter problems with answers provided in an accompanying appendix, which help make it ideal for self-study. Long-standing methodological problems arising in popular presentations of dimensional analysis are also identified and solved, making the book a useful text for advanced students and professionals.

Regulatory Non-Coding RNAs: Methods and Protocols offers a collection of methods for those interested in the discovery, localization, and functional analysis of these non-coding transcripts that have

This single-volume guide equips students of sociolinguistics with a full set of methodological tools including data collection and analysis techniques, explained in clear and accessible terms by leadi

This single-volume guide equips students of sociolinguistics with a full set of methodological tools including data collection and analysis techniques, explained in clear and accessible terms by leadi

This textbook introduces students to the strategic communication methods that are crucial to master in order to develop into effective and ethical managers at all levels of business.Effective communic

Master data analysis, modeling and the effective use of spreadsheets with the popular BUSINESS ANALYTICS: DATA ANALYSIS AND DECISION MAKING, 7E. The quantitative methods approach in this edition helps

The second edition of Signals and Systems: Analysis Using Transform Methods and MATLABR has been extensively updated while retaining the emphasis on fundamental applications and theory that has been

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 a

"This book provides a rigorous and comprehensive coverage of transportation models and planning methods and is a must-have to anyone in the transportation community, including students, teachers, and

Introducing the theory and practice of conversation, discourse and document analysis, this book proves how useful these methods are in addressing key questions in the social sciences. A true mastercla

This volume provides in-depth, step-by-step coverage of the most common matrix methods now used in statistical applications, including eigenvalues and eigenvectors; the Moore-Penrose inverse; matrix d

Quantitative Trait Loci (QTL) is a topic of major agricultural significance for efficient livestock production. This advanced-level textbook covers all the statistical methods that have been used or p

Factor analysis is a statistical technique widely used in psychology and the social sciences. With the advent of powerful computers, factor analysis and other multivariate methods are now available t

Traditional epidemiology coursework is centered on the design and analysis of disease control. This important knowledge forms the backbone of what epidemiology is, but it can sometimes become a rote e

This book highlights the methods and applications for roadside video data analysis, with a particular focus on the use of deep learning to solve roadside video data segmentation and classification pro

Developed out of a one-semester course on experimental research methods in the social sciences, this work by Gerber (political science, Yale U.) and Green (political science, Columbia U.) introduces t

New statistical methods and future directions of research in time series A Course in Time Series Analysis demonstrates how to build time series models for univariate and multivariate time series data.

An introduction to analysis techniques used in the design of linear feedback control systems with an emphasis on both classical and matrix methods. After introducing general state space and input-outp

"High-throughput assays are part of a paradigm shift, to more cost-effective and reliable methods, in the testing of chemical and drug safety. This book covers methods, data generation, data analysis,

This book covers the essentials of needs analysis from the emerging trainer's perspective by providing just the right amount of support and knowledge without going too deep into the subject. The topi

This book is an introduction to basic functional analysis and operator theory, with an emphasis on Hilbert space methods. The main aim is to develop rigorously the basic notions of functional analysis

Applied Spatial Data Analysis with R, second edition, is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of intere

A comprehensive guide to data analysis techniques for physical scientists, providing a valuable resource for advanced undergraduate and graduate students, as well as seasoned researchers. The book begins with an extensive discussion of the foundational concepts and methods of probability and statistics under both the frequentist and Bayesian interpretations of probability. It next presents basic concepts and techniques used for measurements of particle production cross-sections, correlation functions, and particle identification. Much attention is devoted to notions of statistical and systematic errors, beginning with intuitive discussions and progressively introducing the more formal concepts of confidence intervals, credible range, and hypothesis testing. The book also includes an in-depth discussion of the methods used to unfold or correct data for instrumental effects associated with measurement and process noise as well as particle and event losses, before ending with a presentati

Mirroring the growing interest and use of statistical methods and software in education, health, and marketing, this book focuses on the statistical methods used to analyze and validate questionnaires

Methods and guidelines for developing and using mathematical models Turn to Effective Groundwater Model Calibration for a set of methods and guidelines that can help produce more accurate and transpa

This book provides a practical guide to analysis of simple and complex method comparison data, using Stata, SAS and R. It takes the classical Limits of Agreement as a starting point, and presents it i

Public Administration: Research Strategies, Concepts, and Methods explores how scholars of public administration and institutional politics can improve their analysis by focusing on the contextual par

Public Administration: Research Strategies, Concepts, and Methods explores how scholars of public administration and institutional politics can improve their analysis by focusing on the contextual par

This book highlights the applications of coupled bioluminescence assay techniques to real-world problems in drug discovery, environmental and chemical analysis, and biodefense. It separates theoretica

The book introduces basic risk concepts and then goes on to discuss risk management and analysis processes and steps. The main emphasis is on methods that fulfill the requirements of one or several ri

Brand-new edition of the essential resource adopted on modules in statistical analysis, statistical methods and quantitative geography worldwide. Now fully integrated with online self-assessment exerc

The book gives a comprehensive coverage of most classical nonparametric statistical tests as well as nonparametric techniques in regression and generalized regression, time-to-event analysis, density

"Computer methods continue to be critical in the analysis, simulation, design and optimization of engineering processes and systems. Computational approaches are needed to solve the complex mathematic

Written by two leading experts, this is a compact guide to the key tools and methods necessary to carry out cost-benefit analysis (CBA). The authors use modern economic tools to obtain general equilibrium cost-benefit rules that can be used to evaluate small projects, as well as large and even mega projects. Intertemporal issues like discounting, the shadow price of capital, and the treatment of risk are covered, and a state-of-the-art summary of available methods for the valuation of unpriced commodities is also included. In addition, the book provides detailed expositions of the marginal cost of public goods (MCPF), the marginal excess burden of taxes (MEB), and second-best evaluation rules, and shows how these concepts are interrelated. The importance of undertaking due diligence in evaluations is highlighted. This is an excellent toolkit for graduate students learning about the principles of CBA, and is a useful guide for government officials and policymakers.

Written by two leading experts, this is a compact guide to the key tools and methods necessary to carry out cost-benefit analysis (CBA). The authors use modern economic tools to obtain general equilibrium cost-benefit rules that can be used to evaluate small projects, as well as large and even mega projects. Intertemporal issues like discounting, the shadow price of capital, and the treatment of risk are covered, and a state-of-the-art summary of available methods for the valuation of unpriced commodities is also included. In addition, the book provides detailed expositions of the marginal cost of public goods (MCPF), the marginal excess burden of taxes (MEB), and second-best evaluation rules, and shows how these concepts are interrelated. The importance of undertaking due diligence in evaluations is highlighted. This is an excellent toolkit for graduate students learning about the principles of CBA, and is a useful guide for government officials and policymakers.

It is a well-established fact that TLC finds broad application in drug quality control, and, despite the slight trend to replace it by other methods, many analyses are much better solved by use of TLC

Analytical Solution Methods for Boundary Value Problems is an extensively revised, new English language edition of the original 2011 Russian language work, which provides deep analysis methods and exa

This book provides a manual on quantitative financial analysis. Focusing on advanced methods for modelling financial markets in the context of practical financial applications, it will cover data, sof

This monograph presents recent original work in Numerical Analysis and Fractional Calculus. The chapters are self-contained and can be read independently. An extensive list of references is given per

This book is a window onto problems in the analysis, stability, and design of networked control systems. Among other things, it considers four key issues: packet dropouts, communication bandwidth cons