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This Function Analysis Guide will give you a greater understanding of Function Analysis to the extent that it becomes second nature to those using the Value Methodology to improve their projects, products, and processes. Application of the techniques covered herein will result in better studies and, most importantly, better results. Lawrence D. Miles, the "Father of Value Analysis," stated "the customer wants a function." People want functions, not things. Function Analysis is considered the heart of the Value Methodology (VM), yet many people have difficulty applying its concepts and techniques to their projects, products, and processes. This document provides guidance on the process and application of function analysis, including Function Analysis System Technique (FAST) for practitioners and those who are preparing to become certified through SAVE International(R).
Climatology and meteorology have basically been a descriptive science until it became possible to use numerical models, but it is crucial to the success of the strategy that the model must be a good representation of the real climate system of the Earth. Models are required to reproduce not only the mean properties of climate, but also its variability and the strong spatial relations between climate variability in geographically diverse regions. Quantitative techniques were developed to explore the climate variability and its relations between different geographical locations. Methods were borrowed from descriptive statistics, where they were developed to analyze variance of related observations-variable pairs, or to identify unknown relations between variables. A Guide to Empirical Orthogonal Functions for Climate Data Analysis uses a different approach, trying to introduce the reader to a practical application of the methods, including data sets from climate simulations and MATLAB codes for the algorithms. All pictures and examples used in the book may be reproduced by using the data sets and the routines available in the book . Though the main thrust of the book is for climatological examples, the treatment is sufficiently general that the discussion is also useful for students and practitioners in other fields. Supplementary datasets are available via http://extra.springer.com
Functional Analysis: A Practitioner's Guide to Implementation and Training provides practitioners with the most updated information about applying the wide span of current functional analysis (FA) methodologies geared specifically to applied service settings. The book serves as a self-instructional implementation to a broad-base of trainees and care-providers within schools, clinics, centers and human services organizations. Adopting a Behavioral Skills Training and competency-based training outcomes approach, the learning materials and activities featured in the book include suggested slideshow presentations, role-play exercises, pre- and post-training quizzes, natural setting evaluation methods, data recording forms, instructional scripts and reproducible handouts. - Covers an historical overview and the ethical considerations of functional analysis - Examines FA methodology, measurement methods and experimental designs - Teaches how to independently design, conduct and interpret FAs - Explains how to formulate FA-informed intervention plans - Presents an agile curriculum that can be customized for different providers
This book introduces the basic principles of functional analysis and areas of Banach space theory that are close to nonlinear analysis and topology. The text can be used in graduate courses or for independent study. It includes a large number of exercises of different levels of difficulty, accompanied by hints.
The SAVE International Value Methodology (VM) Body of Knowledge, VM Guide®, is the definitive resource for the theory and practice of value improving techniques. This essential guide serves as the foundation for SAVE International's standards of practice and professional certification program. In it, readers will find a wealth of information regarding the underlying process, known as the VM Job Plan, as well as guidance on the application of techniques that support the performance of VM Studies. This volume also includes practical guidance on facilitation techniques as well as the creation and management of VM programs.
This textbook is a completely revised, updated, and expanded English edition of the important Analyse fonctionnelle (1983). In addition, it contains a wealth of problems and exercises (with solutions) to guide the reader. Uniquely, this book presents in a coherent, concise and unified way the main results from functional analysis together with the main results from the theory of partial differential equations (PDEs). Although there are many books on functional analysis and many on PDEs, this is the first to cover both of these closely connected topics. Since the French book was first published, it has been translated into Spanish, Italian, Japanese, Korean, Romanian, Greek and Chinese. The English edition makes a welcome addition to this list.
Function Point Analysis: Measurement Practices for Successful Software Projects is a comprehensive presentation of the principles of function point analysis (FPA) and a guide to its effective use in managing the development and deployment of software. Written for both information technology (IT) practitioners and managers, it describes how to use this proven-but-underutilized software-sizing metric to achieve successful software projects. Completely up-to-date, the book introduces the latest rules and guidelines released in the International Function Point Users Group (IFPUG) Counting Practices Manual 4.1. Function Point Analysis presents fundamental counting techniques for basic-to-advanced technologies. It explains the calculations for determining function point size, an indication of a software application's overall functionality and complexity. Moving beyond mechanics, the book features the most common uses of FPA and reveals experience-based techniques for applying the methodology with success. The book covers such important topics as: An overview of FPA for the IT executive A description of software measurement, relating size to other software metrics Sizing data and transactional functions The application of general system characteristics Counting object-oriented, Web-based, client-server, and GUI applications Becoming a Certified Function Point Specialist (CFPS), using a practice exam The use of FPA for accurate project estimating, development and maintenance outsourcing, and performance productivity baselining FPA automation tools, including function point repository tools and function point- based project estimation tools The role of FPA in standardizing industry benchmarking data Numerous detailed examples and case studies demonstrate the FPA methodology in action. As a reference, tutorial, and practical guide, Function Point Analysis: Measurement Practices for Successful Software Projects raises the level of awareness and understanding of FPA and its role in bringing proven quality standards to the software development industry. 0201699443B04062001
This authoritative book, written by the leading experts in the field of the philosophy of biology, brings together the defining literature in the debate concerning proper analysis of teleological concepts in biology. The introduction provides a clear and coherent overview to the philosophical progress regarding the nature of function in biology, and the book's chronological structure offers historical insight and perspective. This anthology is well-planned, representative, and current in its orientation. All of the major positions and figures are represented and the volume is framed by Buller's essays, an organization that serves to consolidate many themes introduced by the diverse slate of authors.
Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience. With the tutorials in this hands-on guide, youâ??ll learn how to use the essential R tools you need to know to analyze data, including data types and programming concepts. The second half of Learning R shows you real data analysis in action by covering everything from importing data to publishing your results. Each chapter in the book includes a quiz on what youâ??ve learned, and concludes with exercises, most of which involve writing R code. Write a simple R program, and discover what the language can do Use data types such as vectors, arrays, lists, data frames, and strings Execute code conditionally or repeatedly with branches and loops Apply R add-on packages, and package your own work for others Learn how to clean data you import from a variety of sources Understand data through visualization and summary statistics Use statistical models to pass quantitative judgments about data and make predictions Learn what to do when things go wrong while writing data analysis code