Methods of Nonlinear Analysis

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

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

This handy, pocket-version of the Universal Methods of Design provides the same thorough and critical presentation of 100 research methods, synthesis/analysis techniques, and research deliverables for

This book examines and critiques classical approaches to strategic analysis, whilst exploring alternative methods which utilise ecosystem and platform concepts, as well as chaos and complexity theorie

Statistics, Data Mining, and Machine Learning in Astronomy is the essential introduction to the statistical methods needed to analyze complex data sets from astronomical surveys such as the Panoramic

This monograph focuses on the use of analysis and processing methods for images from the CorvisR ST tonometer. The presented analysis is associated with the quantitative, repeatable and fully automati

A comprehensive treatment of model-based fuzzy control systems This volume offers full coverage of the systematic framework for the stability and design of nonlinear fuzzy control systems. Building o

Differential games theory is the most appropriate discipline for the modelling and analysis of real life conflict problems.The theory of differential games is here treated with an emphasis on the cons

The first time that such a complete systematic analysis of the mathematical and numerical techniques related to the orthogonal methods has been given. With the explosion of the wireless world, greate

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

Schmaedick makes the case that responsible nonprofit managers must utilize cost-effectiveness analysis and draws examples of how it can be done from prestigious nonprofit organizations. Referencing Te

This report serves as the technical documentation and reference document for the data, methods, and analytic approach used in the analysis of national exposures to infrastructure from natural disaster

This volume reviews and summarizes some of A. I. McLeod's significant contributions to time series analysis. It also contains original contributions to the field and to related areas by participants o

In Using Statistical Methods, Soleman Abu-Bader detects and addresses the gaps between the research and data analysis of the classroom environment and the practitioner's office. This book not only gu

An Introduction to Wavelets and Other Filtering Methods in Finance and Economics presents a unified view of filtering techniques with a special focus on wavelet analysis in finance and economics. It

This collection provides detailed descriptions of both standard and advanced meta-analytic methods and their implementation in Stata. Readers will gain access to the statistical methods behind the rap

Bhatti (civil engineering, University of Iowa) presents the finite element method as a fairly straightforward extension of the classical weighted residual and the Rayleigh-Ritz methods for approximate

This book develops a set of reference methods capable of modeling uncertainties existing in membership functions, and analyzing and synthesizing the interval type-2 fuzzy systems with desired per

This book is the first to provide an overview and a practical guide to the tools and methods of data gathering and assessment, standards of measurement in humanitarian action, interpretation strategie

This fully updated edition of the best-selling three-part Methods in Enzymology?series, Guide to Yeast Genetics and Molecular Cell Biology?is specifically designed to meet the needs of graduate studen

This fully updated edition of the best-selling three-part Methods in Enzymology?series, Guide to Yeast Genetics and Molecular Cell Biology?is specifically designed to meet the needs of graduate studen

Research Methods is an essential guide to carrying out a research project. Each of the focused chapters introduces and explains an aspect of social research to readers who may have no experience or kn

Several of the ten papers in this collection explore modeling methods for active domains, knowledge management, deontic business rules, and organizational memory. Other topics include matching models

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

A field is a distribution in space of physical quantities of obvious significance, such as pressure, velocity, or electromagnetic influence. This 1977 book was written for any reader who would not be content with a purely mathematical approach to the handling of fields. In letting the mathematical concepts invent themselves out of the need to describe the physical world quantitatively, Professor Shercliff shows how the same mathematical ideas may be used in a wide range of apparently different contexts including electromagnetism, fluid dynamics, nuclear reactor criticality, plasma oscillations and rotational flow. Mathematical methods are explored only far enough to give the interested reader a glimpse of activities that lie beyond, yet the unifying approach to increasingly powerful, generalised ideas at a level not reached in many books on vector analysis at the time. Special features of the book are a wealth of examples of physical interest, and a thorough appendix.

Pharmaceutical analysis determines the purity, concentration, active compounds, shelf life, rate of absorption in the body, identity, stability, rate of release etc. of a drug. Testing a pharmaceutical product involves a variety of analyses, and the analytical processes described in this book are used in industries as diverse as food, beverages, cosmetics, detergents, metals, paints, water, agrochemicals, biotechnological products and pharmaceuticals.The mathematics involved is notoriously difficult, but this much-praised textbook, now revised and updated for its fifth edition, guides a student through the complexities with clear writing and the author's expertise from many years' teaching pharmacy students. Two new chapters have been added to the new edition covering methods used in the quality control of biotechnologically produced drugs, and electrochemical biosensors. There is continuous learning reinforcement throughout the book by way of worked calculation examples and self-asses

This textbook bypasses the need for advanced mathematics by providing in-text computer code, allowing students to explore Bayesian data analysis without the calculus background normally considered a prerequisite for this material. Now, students can use the best methods without needing advanced mathematical techniques. This approach goes beyond “frequentist” concepts of p-values and null hypothesis testing, using the full power of modern probability theory to solve real-world problems. The book offers a fully self-contained course, which demonstrates analysis techniques throughout with worked examples crafted specifically for students in the behavioral and neural sciences. The book presents two general algorithms that help students solve the measurement and model selection (also called “hypothesis testing”) problems most frequently encountered in real-world applications.

This textbook bypasses the need for advanced mathematics by providing in-text computer code, allowing students to explore Bayesian data analysis without the calculus background normally considered a prerequisite for this material. Now, students can use the best methods without needing advanced mathematical techniques. This approach goes beyond “frequentist” concepts of p-values and null hypothesis testing, using the full power of modern probability theory to solve real-world problems. The book offers a fully self-contained course, which demonstrates analysis techniques throughout with worked examples crafted specifically for students in the behavioral and neural sciences. The book presents two general algorithms that help students solve the measurement and model selection (also called “hypothesis testing”) problems most frequently encountered in real-world applications.

Approximately 1 in 54 children in the U.S. will be diagnosed with an autism spectrum disorder (ASD) and that number is expected to rise, according to the CDC. Applied Behavior Analysis (ABA) is one of the most common interventions for those with ASD. One of the biggest problems facing the field of ABA-based interventions is ineffectiveness of intervention approaches due to the rigid application of ABA-based interventions. A Progressive Approach to Applied Behavior Analysis: The Autism Partnership Method provides practicing behavior analysts (e.g., BCBA, BCaBA, RBTs) and other clinicians with an in-depth introduction to a Progressive Approach to ABA and how it applies to common teaching methods within ABA-based interventions. This includes research and guidelines for implementing a Progressive Approach to ABA potentially increasing the likelihood of meaningful outcomes for the individuals with ASD. This will become the guide for practitioners on how to implement clinical judgement using

Chaos theory has touched on such fields as biology, cognitive science, and physics. By providing a unified and complete explanation of new statistical methods that are useful for testing for chaos in

The topics of this set of student-oriented books are presented in a discursive style that is readable and easy to follow. Numerous clearly stated, completely worked out examples together with carefull

This new edition of a standard in the field is the most complete treatment available on modern methods of accident investigation. The investigation process is divided into three phases: preparation a

Language learning research aims to describe and fully explain how and why language learning takes place, but can fall short of its stated purpose. Systematic, rigorous research is needed if the growing field of language learning is to progress methodically. This book demonstrates and fully explains such a methodology. Given that research in language acquisition yields practical pedagogical implications, it is crucial that it is rigorous and accurate.This book offers a quantitative research methodology that relies on statistical analysis in order to make inferences and conclusions about language learning. Experimental research aims to understand differences between or within groups of learners under manipulated environments. It requires strict control of conditions, enabling interpretations with a low factor of error. Aek Phakiti provides step-by-step guidelines and underlying principles, epistemology and methodology, in a book that is essential for advanced students of language acquisi

An insightful examination of the numerical methods used to develop finite element methods A Variational Approach to Structural Analysis provides readers with the underpinnings of the finite element me