Научные книги (по физике, химии, математике и др. наукам)

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Applying Generalized Linear Models

Name: Applying Generalized Linear Models
Author: James K. Lindsey
Publisher: Springer
Series: Springer Texts in Statistics
Year: 2000 (Corr. 3nd printing)
Volume: XIII
Pages: 256
Illustrations: 35
ISBN: 0-387-98218-3
Language: English
Filetype: Adobe PDF
Filesize: 1.31 Mb

Written for: Graduate students.

This book describes how generalised linear modelling procedures can be used in many different fields, without becoming entangled in problems of statistical inference. The author shows the unity of many of the commonly used models and provides readers with a taste of many different areas, such as survival models, time series, and spatial analysis, and of their unity. As such, this book will appeal to applied statisticians and to scientists having a basic grounding in modern statistics. With many exercises at the end of each chapter, it will equally constitute an excellent text for teaching applied statistics students and non- statistics majors. The reader is assumed to have knowledge of basic statistical principles, whether from a Bayesian, frequentist, or direct likelihood point of view, being familiar at least with the analysis of the simpler normal linear models, regression and ANOVA.

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Cochlear Implants

Name: Cochlear Implants: Fundamentals and Applications
Author: Graeme Clark
Publisher: Springer
Series: Modern Acoustics and Signal Processing
Year: 2003
Volume: XXXVIII
Pages: 830
Illustrations: 240
ISBN: 0-387-95583-6
Language: English
Filetype: Adobe PDF
Filesize: 8.15 Mb

Written for: Graduate students, electrical engineers, ENT surgeons residents.

The cochlear implant is a device that bypasses a nonfunctional inner ear and stimulates the auditory nerve directly with patterns of electrical currents derived from incoming sounds. The culmination of investigations in many disciplines, it is the first major advance in helping profoundly deaf children communicate since the Sign Language for the Deaf was developed at the Institution des Jeunes Sourds in Paris some 200 years ago. Written by the "father" of the multi-electrode implant, this comprehensive text and reference gives an account of the fundamental principles underlying cochlear implants and their clinical application. It thus discusses research in all relevant disciplines, including: - Surgical anatomy, concentrating on essentials relevant to engineering - Pathology, focusing on the inner ear's response to the implant and to electrical stimulation - Biophysics and electrochemistry, addressing the interface between electrode and tissue - Neurobiology, with particular emphasis on the issue of safety - Physiology, summarizing current theories of frequency and amplitude coding - Psychophysics, focusing on pitch and loudness perception - Speech science, including phonetics, perception, and language - Electronic principles of signal processing needed for speech perception - Clinical factors of importance to the engineering - Surgical procedures to help scientists and engineers understand the realities for implant development - Communication skills achieved for different speech processing strategies - Socioeconomic and ethical issues For the clinician, the book will provide guidance in the treatment of patients; for the engineer and researcher it will provide the background for further research; and for the student, it will provide a through understanding of the subject.

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Design and Analysis of Experiments

Name: Design and Analysis of Experiments
Author: Angela Dean, Daniel Voss
Publisher: Springer
Series: Springer Texts in Statistics
Year: 2001 (Corr. 2nd printing)
Volume: XIX
Pages: 740
Illustrations: 83
ISBN: 0-387-98561-1
Language: English
Filetype: Adobe PDF
Filesize: 3.86 Mb

Written for: Grad students Adv Undergrad.

The design and analysis of experiments is an essential part of investigation and discovery in science, of process and product improvement in manufacturing, and of comparison of competing protocols or treatments in the applied sciences. This book offers a step by step guide to the experimental planning process and the ensuing analysis of normally distributed data. Design and Analysis of Experiments emphasizes the practical considerations governing the design of an experiment based on the objectives of the study and a solid statistical foundation for the analysis. Almost all data sets in the book have been obtained from real experiments, either run by students in statistics and the applied sciences, or published in the scientific literature. Details of the planning stage of numerous different experiments are discussed. The statistical analysis of experimental data is based on estimable functions and is developed with some care. Design and Analysis of Experiments starts with basic principles and techniques of experimental design and analysis of experiments. It provides a checklist for the planning of experiments, and explains the estimation of treatment contrasts and analysis of variance. These basics are then applied in a wide variety of settings. Designs covered include completely randomized designs, complete and incomplete block designs, row-column designs, single replicate designs with confounding, fractional factorial designs, response surface designs, and designs involving nested factors and factors with random effects, including split-plot designs. The book is accessible to all readers who have a good basic knowledge of expected values, confidence intervals and hypothesis tests. It is ideal for use in the classroom at both the senior undergraduate and the graduate level. A guide to the use of the SAS System computer.

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Dynamic Control of Quality in Production-Inventory Systems

Name: Dynamic Control of Quality in Production-Inventory Systems: Coordination and Optimization
Author: David D. Yao, Shaohui Zheng
Publisher: Springer
Series: Springer Series in Operations Research and Financial Engineering
Year: 2002
Volume: IX
Pages: 218
Illustrations: 4
ISBN: 0-387-95491-0
Language: English
Filetype: Adobe PDF
Filesize: 1.50 Mb

Written for: Researchers, graduate students, practitioners.

This book aims to address the coordination of quality control with other aspects of a firm's production system and supply chain, specifically, the coordination between the inspection-repair of finished products and their follow-up services, between inspection and process revision, between production and inspection under capacity constraints, between replenishment and rework quantities, and between supply and substitution decisions. To address these issues, the authors have in recent years developed a set of dynamic approaches based on Markov decision programming and using stochastic comparison techniques, including those based on notions of stochastic convexity and submodularity. The focal question driving their studies is this: under what conditions and for what systems does a certain class of policies become optimal in the sense of striking the best coordination among several competing or even conflicting aspects in the production-inventory system? Particular emphasis has been put on the class of policies that have simple, threshold structures -- simple enough to facilitate implementation, but sophisticated enough to be optimal. Written in a self-contained and well-motivated manner, the book offers a timely and useful text or reference to researchers and practitioners in operations research and management, industrial and quality engineering, systems and control, applied mathematics and statistics, and related fields.

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Elements of Large-Sample Theory

Name: Elements of Large-Sample Theory
Author: E.L. Lehmann
Publisher: Springer
Series: Springer Texts in Statistics
Year: 2004 (Corr. 3rd printing)
Volume: XII
Pages: 631
Illustrations: 10
ISBN: 0-387-98595-6
Language: English
Filetype: Adobe PDF
Filesize: 2.66 Mb

Written for: Graduate students.

Elements of Large Sample Theory provides a unified treatment of first-order large-sample theory. It discusses a broad range of applications including introductions to density estimation, the bootstrap, and the asymptotics of survey methodology written at an elementary level. The book is suitable for students at the Master's level in statistics and in aplied fields who have a background of two years of calculus. E.L. Lehmann is Professor of Statistics Emeritus at the University of California, Berkeley. He is a member of the National Academy of Sciences and the American Academy of Arts and Sciences, and the recipient of honorary degrees from the University of Leiden, The Netherlands, and the University of Chicago. Also available: E.L. Lehmann and George Casella, Theory at Point Estimation, Second Edition. Springer-Verlag New York, Inc., 1998, 640 pp., Cloth, ISBN 0-387-98502-6. E.L. Lehmann, Testing Statistical Hypotheses, Second Edition. Springer-Verlag New York, Inc., 1997, 624 pp., Cloth, ISBN 0-387-94919-4.

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Wavelets and Signal Processing

Name: Wavelets and Signal Processing: An Application-Based Introduction
Author: Hans-Georg Stark
Publisher: Springer
Series:
Year: 2005
Volume: X
Pages: 150
Illustrations: 67
ISBN: 3-540-23433-0
Language: English
Filetype: Adobe PDF
Filesize: 2.50 Mb

Written for: Students in graduate and undergraduate courses in electrical and telecommunications engineering at universities and technical universities; Practitioners from industry.

The wavelets transform is a mathematical technique in the field of image compression and digital signal analysis.
The author aims at providing the reader with a working understanding of wavelets. In numerous examples, he discusses the potentials and limits of the tool in industrial applications.
The book is completed by the author`s own Matlab codes.
It is very well suited for electrical engineering students and engineers in industry.

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Validated Designs for Object-oriented Systems

Name: Validated Designs for Object-oriented Systems
Author: John Fitzgerald, Peter Gorm Larsen, Paul Mukherjee, Nico Plat, Marcel Verhoef
Publisher: Springer
Series:
Year: 2005
Volume: XII
Pages: 404
Illustrations: 65
ISBN: 1-85233-881-4
Language: English
Filetype: Adobe PDF
Filesize: 2.13 Mb

Written for: Undergraduates - Practitioner Engineers (systems & software engineers, systems architects, cunsultants and designers).

Object-oriented design methods are commonplace in computing systems development, but are often dismissed as 'boxes & arrows'. If systems developers are to gain full advantage from such methods, they should be able to achieve designs that are not merely the subject of heated argument, but can be improved by careful, rigorous & machine-supported analysis.

This book describes an object-oriented design approach that combines the benefits of abstract modelling with the analytic power of formal methods, to give designs that can be rigorously validated & assured with automated support.

Aimed at software architects, designers & developers as well as computer scientists, no prior knowledge of formal methods is assumed. The elements of functional modelling are introduced using numerous examples & exercises, industrial case studies & experience reports. Industry-strength tools support the text. Go to Для просмотра ссылки Войди или Зарегистрируйся to download free-of-charge VDMTools Lite, which gives the possibility to try out examples from the book

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VEE Pro: Practical Graphical Programming

Name: VEE Pro: Practical Graphical Programming
Author: Robert B. Angus and Thomas E. Hulbert
Publisher: Springer
Series:
Year: 2005
Volume: XXIV
Pages: 448
Illustrations: 294
ISBN: 1-85233-870-9
Language: English
Filetype: Adobe PDF
Filesize: 5.43 Mb

Written for: 2nd-year to senior undergraduate students majoring in electrical, mechanical, civil, industrial or manufacturing engineering or engineering technology; faculty and graduate students in electrical, mechanical, civil, industrial or manufacturing engineering or engineering technology; designers, technologists and technicians working with or considering working with VEE Pro; research and development laboratory personnel analyzing large quantities of real-time data; technical personnel working in manufacturing industries, and process and quality control positions.

From the depths of the oceans to the deserts of Mars, VEE Pro is being used to collect data, provide automated testing and to construct remote command and telemetry interfaces. In more everyday environments, it can be found at the heart of manufacturing, process and quality control, and industrial data analysis and management systems.

VEE Pro: Practical Graphical Programming introduces you to the fundamentals of Visual Engineering Environment Programming providing tools for writing programs for:

* data acquisition;
* test-data processing;
* process control.

Prelabs introduce new programming objects, concepts or techniques. They are collected in a separate appendix so that your assimilation of novel material does not interrupt the practical lesson flow. They can be easily referenced when you are devising a new program.

Each of the 18 lessons can be presented in a whole-group session. They can also be studied privately prior to the labs being developed in the classes.

You will see the power and flexibility of VEE Pro in action in special labs of increasing complexity based around the monitoring and control of a virtual vehicle radiator. The process begins with the simple simulation of a thermometer and ends with the statistical logging of tests. Exceeding test limits will trigger audio and visual warnings.

The six appendixes are valuable tools for reference. They explain how to navigate within the programs, collate related data, technical term explanations, and cross-referenced partial programming sequences and outcomes.

If you are a student taking classes in VEE Pro, this book will make your life easier and the learning process more straightforward. If you are an instructor teaching the package, it will provide a simple and effective structure for your lessons and also for the course as a whole. If you use VEE Pro for design or data analysis in a manufacturing/industrial environment, VEE Pro: Practical Graphical Programming will provide the complete and easy-to-use reference you need to develop a program.

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Vision with Direction

Name: Vision with Direction: A Systematic Introduction to Image Processing and Computer Vision
Author: Josef Bigun
Publisher: Springer
Series:
Year: 2006
Volume: XVI
Pages: 396
Illustrations: 146 (130 in colour)
ISBN: 3-540-27322-0
Language: English
Filetype: Adobe PDF
Filesize: 6.99 Mb

Written for: Students.

This introductory textbook presents the modern signal processing concepts used in computer vision and image analysis in a systematic and mathematically coherent way. For the first time in a textbook on image processing, single direction, group direction, corners and edges, Hough transform, and motion estimation are developed in a principled way using direction tensors as the unifying concept.

The topics presented include Hilbert spaces, the Fourier transform, scale analysis, direction fields, structure tensors, motion tensors, the Hough transform, grouping, and segmentation. Directional signal processing, an increasingly crucial element of computer vision for which neural circuits exist in human vision, is dealt with in depth by use of tensors. All chapters are richly illustrated, with color graphics from cover to cover; applications are studied in various fields, including biometric person authentication, texture analysis, optical character recognition, and motion estimation and tracking; and exercises help the sudent verify progress.

Developed out of courses given by the author, this introductory textbook addresses advanced undergarduates as well as master and PhD students in computer science, engineering, mathematics, and in other disciplines where techniques from computer vision, image processing, visual computation and signal analysis are applied.

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The Logic of Logistics

Name: The Logic of Logistics: Theory, Algorithms, and Applications for Logistics and Supply Chain Management. 2nd ed.
Author: Julien Bramel, David Simchi-Levi
Publisher: Springer
Series: Springer Series in Operations Research and Financial Engineering
Year: 2005
Volume: XX
Pages: 355
Illustrations: 38
ISBN: 0-387-22199-9
Language: English
Filetype: Adobe PDF
Filesize: 1.68 Mb

Written for: Practitioners in Operations Research, graduate students.

Fierce competition in today's global market provides a powerful motivation for developing ever more sophisticated logistics systems. This book, written for the logistics manager and researcher, presents a survey of the modern theory and application of logistics. The goal of the book is to present the state-of-the-art in the science of logistics management. As a result, the authors have written a timely and authoritative survey of this field that many practitioners and researchers will find makes an invaluable companion to their work.

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Stochastic Petri Nets

Name: Stochastic Petri Nets: Modelling, Stability, Simulation
Author: Peter J. Haas
Publisher: Springer
Series: Springer Series in Operations Research and Financial Engineering
Year: 2004
Volume: XXII
Pages: 509
Illustrations: 64
ISBN: 0-387-95445-7
Language: English
Filetype: Adobe PDF
Filesize: 3.64 Mb

Written for: Researchers, graduate students, professionals.

This book is about stochastic Petri nets (SPNs), which have proven to be a popular tool for modelling and performance analysis of complex discrete-event stochastic systems. The focus is on methods for modelling a system as an SPN with general firing times and for studying the long-run behavior of the resulting SPN model using computer simulation. Modelling techniques are illustrated in the context of computer, manufacturing, telecommunication, workflow, and transportation systems. The simulation discussion centers on the theory that underlies estimation procedures such as the regenerative method, the method of batch means, and spectral methods.Tying these topics together are conditions on the building blocks of an SPN under which the net is stable over time and specified estimation procedures are valid. In addition, the book develops techniques for comparing the modelling power of different discrete-event formalisms. These techniques provide a means for making principled choices between alternative modelling frameworks and also can be used to extend stability results and limit theorems from one framework to another. As an overview of fundamental modelling, stability, convergence, and estimation issues for discrete-event systems, this book will be of interest to researchers and graduate students in Applied Mathematics, Operations Research, Applied Probability, and Statistics. This book also will be of interest to practitioners of Industrial, Computer, Transportation, and Electrical Engineering, because it provides an introduction to a powerful set of tools both for modelling and for simulation-based performance analysis. Peter J. Haas is a member of the Research Staff at the IBM Almaden Research Center in San Jose, California. He also teaches Computer Simulation at Stanford University and is an Associate Editor (Simulation Area) for Operations Research.

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Stat Labs

Name: Stat Labs: Mathematical Statistics Through Applications
Author: Deborah Nolan, Terry Speed
Publisher: Springer
Series: Springer Texts in Statistics
Year: 2001 (Corr. 2nd printing)
Volume: XVIII
Pages: 282
Illustrations: 45
ISBN: 0-387-98974-9
Language: English
Filetype: Adobe PDF
Filesize: 1.56 Mb

Written for: Upper-division students.

Stat Labs: Mathematical Statistics Through Applications blends mathematical statistics with modern statistical practice. It turns the traditional teaching of mathematical statistics on its head by making a case study the centerpiece of each chapter. Chapters begin with the introduction of a real problem followed by a description of the data collected to address the problem, rich background material to put the problem in context, and suggestions for investigating the problem. This novel approach to bringing data analysis into the theoretical course is ideal for motivating and illustrating standard statistical techniques, for helping students understand mathematical statistics, and for showing how statistics can be useful in a wide variety of contexts. Stat Labs is designed for use in a calculus-based introductory statistics course. It would be equally effective as a stand-alone text or as a supplement to a traditional mathematical statistics text. Deborah Nolan received her Ph.D in Statistics from Yale University, and she is now Professor of Statistics at the University of California, Berkeley. Her research interests include high-dimensional modeling, the teaching of statistics, and the use of technology in education. She has also been involved in encouraging women into research careers in the mathematical sciences, and in 1997 edited the volume, Women in Mathematics: Scaling the Heights for the Mathematical Association of America. Terry Speed's professional activities center around teaching and research involving th application of statistics to genetics and molecular biology. He spends 50% of his time in the Department of Statistics of the University of California at Berkeley, and the other 50% with the Genetics and Bioinformatics Group of the Walter & Eliza Hall Institute of Medical Research in Melbourne, Australia.

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Statistical Methods for the Analysis of Repeated Measurements

Name: Statistical Methods for the Analysis of Repeated Measurements
Author: Charles S. Davis
Publisher: Springer
Series: Springer Texts in Statistics
Year: 2003 (Corr. 2nd printing)
Volume: XVIII
Pages: 415
Illustrations: 20
ISBN: 0-387-95370-1
Language: English
Filetype: Adobe PDF
Filesize: 1.76 Mb

Written for: Researchers, graduate students.

This book provides a comprehensive summary of a wide variety of statistical methods for the analysis of repeated measurements. It is designed to be both a useful reference for practitioners and a textbook for a graduate-level course focused on methods for the analysis of repeated measurements. This book will be of interest to:
* Statisticians in academics, industry, and research organizations
* Scientists who design and analyze studies in which repeated measurements are obtained from each experimental unit
* Graduate students in statistics and biostatistics.
The prerequisites are knowledge of mathematical statistics at the level of Hogg and Craig (1995) and a course in linear regression and ANOVA at the level of Neter et. al. (1985). The important features of this book include a comprehensive coverage of classical and recent methods for continuous and categorical outcome variables; numerous homework problems at the end of each chapter; and the extensive use of real data sets in examples and homework problems. The 80 data sets used in the examples and homework problems can be downloaded from Для просмотра ссылки Войди или Зарегистрируйся at the list of author websites. Since many of the data sets can be used to demonstrate multiple methods of analysis, instructors can easily develop additional homework problems and exam questions based on the data sets provided. In addition, overhead transparencies produced using TeX and solutions to homework problems are available to course instructors. The overheads also include programming statements and computer output for the examples, prepared primarily using the SAS System. Charles S. Davis is Senior Director of Biostatistics at Elan Pharmaceuticals, San Diego, California. He previously was professor in the Department of Biostatistics at the University of Iowa. He is author or co-author of more than 75 peer-reviewed papers in statistical and medical journals and one book (Categorical Data Analysis using the SAS System with Maura Stokes and Gary Koch). His research and teaching interests include categorical data analysis, methods for the analysis of repeated measurements, and clinical trials. Dr. Davis has consulted with numerous companies and has taught short courses on categorical data analysis, methods for the analysis of repeated measurements, and clinical trials methodology for industrial, government, and academic organizations. He received an "Excellence in Continuing Education" award from the American Statistical Association in 2001 and has served as associate editor of the journals Controlled Clinical Trials and The American Statistician and as chair of the Biometrics Section of the ASA.

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Statistical Analysis of Financial Data in S-Plus

Name: Statistical Analysis of Financial Data in S-Plus
Author: Rene´ A. Carmona
Publisher: Springer
Series: Springer Texts in Statistics
Year: 2004
Volume: XVI
Pages: 451
Illustrations: 144
ISBN: 0-387-20286-2
Language: English
Filetype: Adobe PDF
Filesize: 3.87 Mb

Written for: Undergraduate and graduate students and practitioners in mathematical finance.

This book develops the use of statistical data analysis in finance, and it uses the statistical software environment of S-PLUS as a vehicle for presenting practical implementations from financial engineering. It is divided into three parts. Part I, Exploratory Data Analysis, reviews the most commonly used methods of statistical data exploration. Its originality lies in the introduction of tools for the estimation and simulation of heavy tail distributions and copulas, the computation of measures of risk, and the principal component analysis of yield curves. Part II, Regression, introduces modern regression concepts with an emphasis on robustness and non-parametric techniques. The applications include the term structure of interest rates, the construction of commodity forward curves, and nonparametric alternatives to the Black Scholes option pricing paradigm. Part III, Time Series and State Space Models, is concerned with theories of time series and of state space models. Linear ARIMA models are applied to the analysis of weather derivatives, Kalman filtering is applied to public company earnings prediction, and nonlinear GARCH models and nonlinear filtering are applied to stochastic volatility models. The book is aimed at undergraduate students in financial engineering, master students in finance and MBA's, and to practitioners with financial data analysis concerns.

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Software Product Line Engineering

Name: Software Product Line Engineering: Foundations, Principles and Techniques
Author: Klaus Pohl, Günter Böckle, Frank van der Linden
Publisher: Springer
Series:
Year: 2005
Volume: XXVI
Pages: 468
Illustrations: 144
ISBN: 3-540-24372-0
Language: English
Filetype: Adobe PDF
Filesize: 4.74 Mb

Written for: Students and professionals.

This textbook addresses students, professionals, lecturers and researchers interested in software product line engineering. With more than 100 examples and about 150 illustrations, the authors describe in detail the essential foundations, principles and techniques of software product line engineering.

The authors are professionals and researchers who significantly influenced the software product line engineering paradigm and successfully applied software product line engineering principles in industry. They have structured this textbook around a comprehensive product line framework.

Software product line engineering has proven to be the paradigm for developing a diversity of software products and software-intensive systems in shorter time, at lower cost, and with higher quality. It facilitates platform-based development and mass customisation. The authors elaborate on the two key principles behind software product line engineering: (1) the separation of software development in two distinct processes, domain and application engineering; (2) the explicit definition and management of the variability of the product line across all development artefacts.

As a student, you will find a detailed description of the key processes, their activities and underlying techniques for defining and managing software product line artefacts. As a researcher or lecturer, you will find a comprehensive discussion of the state of the art organised around the comprehensive framework. As a professional, you will find guidelines for introducing this paradigm in your company and an overview of industrial experiences with software product line engineering.

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