Basic Methods of Linear Functional Analysis

Doing Sociolinguistics: A practical guide to data collection and analysis provides an accessible introduction and guide to the methods of data collection and analysis in the field of sociolinguistics.

Doing Sociolinguistics: A practical guide to data collection and analysis provides an accessible introduction and guide to the methods of data collection and analysis in the field of sociolinguistics.

This book reports on the latest advances in the analysis of non-stationary signals, with special emphasis on cyclostationary systems. It includes cutting-edge contributions presented at the 7th Worksh

This book presents multivariate time series methods for the analysis and optimal control of feedback systems. Although ships’ autopilot systems are considered through the entire book, the methods set

This volume describes soil and plant analysis as a tool to detect changes in soils and forest ecosystems due to the impacts of land-use activities. It outlines introductory methods in soil and plant a

This monograph presents computational techniques and numerical analysis to study conservation laws under uncertainty using the stochastic Galerkin formulation. With the continual growth of computer po

Control volume finite element methods (CVFEM) bridge the gap between finite difference and finite element methods, using the advantages of both methods for simulation of multi-physics problems in comp

A Practitioner's Guide to Stochastic Frontier Analysis Using Stata provides practitioners in academia and industry with a step-by-step guide on how to conduct efficiency analysis using the stochastic frontier approach. The authors explain in detail how to estimate production, cost, and profit efficiency and introduce the basic theory of each model in an accessible way, using empirical examples that demonstrate the interpretation and application of models. This book also provides computer code, allowing users to apply the models in their own work, and incorporates the most recent stochastic frontier models developed in academic literature. Such recent developments include models of heteroscedasticity and exogenous determinants of inefficiency, scaling models, panel models with time-varying inefficiency, growth models, and panel models that separate firm effects and persistent and transient inefficiency. Immensely helpful to applied researchers, this book bridges the chasm between theory

Wring more out of the data with a scientific approach to analysisGraph Analysis and Visualization brings graph theory out of the lab and into the real world. Using sophisticated methods and tools that

The book consists of an outline of combined qualitative and quantitative methods, designed on the basis of Bourdieu’s general social theory. The methods are focused on individual and collective actors

A Practitioner's Guide to Stochastic Frontier Analysis Using Stata provides practitioners in academia and industry with a step-by-step guide on how to conduct efficiency analysis using the stochastic frontier approach. The authors explain in detail how to estimate production, cost, and profit efficiency and introduce the basic theory of each model in an accessible way, using empirical examples that demonstrate the interpretation and application of models. This book also provides computer code, allowing users to apply the models in their own work, and incorporates the most recent stochastic frontier models developed in academic literature. Such recent developments include models of heteroscedasticity and exogenous determinants of inefficiency, scaling models, panel models with time-varying inefficiency, growth models, and panel models that separate firm effects and persistent and transient inefficiency. Immensely helpful to applied researchers, this book bridges the chasm between theory

This book contains papers presented at the Workshop on the Analysis of Large-scale, High-dimensional, and Multi-Variate Data Using Topology and Statistics, held in Le Barp, France, June 2013. It featu

Research Methods in Nursing and Midwifery: Pathways to Evidence-based Practice introduces nursing and midwifery students to the basic principles of research methods. This second edition begins with an

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.

The book is addressed to statisticians working at the forefront of the statistical analysis of complex and high dimensional data and offers a wide variety of statistical models, computer intensive met

There is an explosion of interest in Bayesian statistics, primarily because recently created computational methods have finally made Bayesian analysis obtainable to a wide audience. Doing Bayesian Dat

Through use of practical examples and a plainspoken narrative style that minimises the use of maths, this book demystifies data concepts, sources, and methods for public service professionals interest

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

Since 9/11, the needs of intelligence agencies as well as the missions they conduct have increased in number, size, and complexity. As such, government and private security agencies are recruiting sta

Since 9/11, the needs of intelligence agencies as well as the missions they conduct have increased in number, size, and complexity. As such, government and private security agencies are recruiting sta

This book describes in full the major approaches used to evaluate investment in real estate and shows how theory informs decision-aid methods and tools to support such evaluation. The inclusion of num

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

This book presents wide-ranging coverage of parametric modeling in linear and nonlinear mixed-effects models. Using these models, readers can perform parameter estimation across a whole population of

Tensors and methods of differential geometry are very useful mathematical tools in many fields of modern physics and computational engineering including relativity physics, electrodynamics, computatio

Technical analysis is defined as the tracking and prediction of asset price movements using charts and graphs in combination with various mathematical and statistical methods. More precisely, it is th

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

The implicit function theorem is one of the most important theorems in analysis and its many variants are basic tools in partial differential equations and numerical analysis.This second edition of Im

Noted for its accessible approach, this text applies the latest approaches of power analysis to both null hypothesis and minimum-effect testing using the same basic unified model. Through the use of a

Noted for its accessible approach, this text applies the latest approaches of power analysis to both null hypothesis and minimum-effect testing using the same basic unified model. Through the use of a

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

The book contains all the basic notions of Positron Emission Tomography that span from physiology to radiochemistry, physics, math and statistics. All material was carefully crafted and is now present

This self-tutorial offers a concise yet thorough introduction into the mathematical analysis of approximation methods for partial differential equation. A particular emphasis is put on finite element

This book presents a unique collection of up-to-date UPLC-MS/MS methods for the separation and quantitative determination of carbohydrates, lipids, proteins, peptides, amino acids, vitamins, aroma and

Advances in methods of gear design and the possibility of predicting the sound pressure level and life time of gearboxes and perfect instrumentation of test stands allows for the production of a new g

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

Any student can learn the basic concepts of statistics if they are introduced as solutions to particular problems, and not formulas with a life of their own. In this text, students are introduced to a

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

Encourages mastery of the basic principles of psychological research Research Methods, Design, and Analysis, 12/e, provides an understanding of the research methods used to investigate human thou