Inference for Functional Data With Applications

The need to transmit and store massive amounts of data reliably and without error is a vital part of modern communications systems. Error-correcting codes play a fundamental role in minimising data corruption caused by defects such as noise, interference, crosstalk and packet loss. This book provides an accessible introduction to the basic elements of algebraic codes, and discusses their use in a variety of applications. The author describes a range of important coding techniques, including Reed-Solomon codes, BCH codes, trellis codes, and turbocodes. Throughout the book, mathematical theory is illustrated by reference to many practical examples. The book was first published in 2003 and is aimed at graduate students of electrical and computer engineering, and at practising engineers whose work involves communications or signal processing.

The book presents a long list of useful methods for classification, clustering and data analysis. By combining theoretical aspects with practical problems, it is designed for researchers as well as fo

Conallen introduces architects and designers and client/server systems to issues and techniques of developing software for the Web. He expects readers to be familiar with object-oriented principles an

Data warehouses differ significantly from traditional transaction-oriented operational database applications. Indexing techniques and index structures applied in the transaction-oriented context are n

A guide to the horse’s anatomy and basic physiology, with clear descriptions of how it works. Written for horse owners and students by a leading equine veterinary surgeon. Chapters include points of t

"This is a first-class book dealing with one of the most important areas of current research in applied statistics??Ythe methods described are widely applicable??Ythe standard of exposition is extr

Based on thousands of citations from peer-reviewed, trade, commercial, and patent literature and interviews with those who have worked in the laboratory, in pilot plants, and in production, Active Pac

Control Systems Theory with Engineering Applications uses modern concepts of control systems theory to provide an accessible text for the most important aspects in linear and nonlinear multivariable s

This first edition focuses on probability and the Bayesian viewpoint. It presents basic material on probability and then introduces inference by means of Bayes' rule. The emphasis is on statistical th

Since its introduction in 1828, using Green's functions has become a fundamental mathematical technique for solving boundary value problems. Most treatments, however, focus on its theory and classical

XML is rapidly becoming the standard platform for delivering e-Business information and integrating e-Business systems. XML developers desperately need mature software development processes and tools

Kinematic MRI of the Joints is the first authoritative textbook on this emerging application. For each joint, it presents pertinent functional anatomy, kinesiology, and clinical information; describes

This latest edition of this best-selling textbook has been completely updated to accommodate the needs of users of SPSS Release 10 for Windows. As with previous editions, Alan Bryman and Duncan Cramer

Designed for use in a second course on linear algebra, Matrix Theory and Applications with MATLAB covers the basics of the subject-from a review of matrix algebra through vector spaces to matrix calcu

This major new textbook is intended for students taking introductory courses in Probability Theory and Statistical Inference. The text is extremely student-friendly, with pathways designed for semeste

The first unified and systematic treatment of the modern theory of bargaining, presented together with many examples of how that theory is applied in a variety of bargaining situations. Abhinay Muthoo provides a masterful synthesis of the fundamental results and insights obtained from the wide-ranging and diverse (game-theoretic) bargaining theory literature. Furthermore, he develops new analyses and results, especially on the relative impacts of two or more forces on the bargaining outcome. Many topics - such as inside options, commitment tactics and repeated bargaining situations - receive their most extensive treatment to date. In the concluding chapter, he offers pointers towards future research. Bargaining Theory with Applications is a textbook for graduate students in economic theory and other social sciences and a research resource for scholars interested in bargaining situations.

The text covers elementary logic, from statement logic through relational logic with identity and function symbols. The authors acquaint students with formal techniques at a level appropriate for

This book is intended for statistics instructors who want to make the introductory statistics course relevant to their MBA students. If you are wrestling with the topical overlap reflected in many qua

This book describes the use of smoothing techniques in statistics and includes both density estimation and nonparametric regression. Incorporating recent advances, it describes a variety of ways to ap

Suitable for an introductory undergraduate course (the first half of the book is calculus-free). Coverage includes divisibility and primes; modular arithmetic; fundamental theorems of modular arithmet

Bayesian probability theory has emerged not only as a powerful tool for building computational theories of vision, but also as a general paradigm for studying human visual perception. This 1996 book provides an introduction to and critical analysis of the Bayesian paradigm. Leading researchers in computer vision and experimental vision science describe general theoretical frameworks for modelling vision, detailed applications to specific problems and implications for experimental studies of human perception. The book provides a dialogue between different perspectives both within chapters, which draw on insights from experimental and computational work, and between chapters, through commentaries written by the contributors on each others' work. Students and researchers in cognitive and visual science will find much to interest them in this thought-provoking collection.

In the theory and practice of econometrics the model, the method and the data are all interdependent links in information recovery-estimation and inference. Seldom, however, are the economic and stati

Nonlinear measurement data arise in a wide variety of biological and biomedical applications, such as longitudinal clinical trials, studies of drug kinetics and growth, and the analysis of assay and l

Originally published in 1962 by Van Nostrand, Princeton, NJ. A textbook emphasizing the inferential and decision-making aspects of statistics. For undergraduate students with a knowledge of elementary

The complexity of today's risk decisions is well known. Beyond cost and risk there are many other factors contributing to these decisions, including type of risk (such as human injury or fatality), th

This book is an up-to-date introduction to univariate spectral analysis at the graduate level, which reflects a new scientific awareness of spectral complexity, as well as the widespread use of spectral analysis on digital computers with considerable computational power. The text provides theoretical and computational guidance on the available techniques, emphasizing those that work in practice. Spectral analysis finds extensive application in the analysis of data arising in many of the physical sciences, ranging from electrical engineering and physics to geophysics and oceanography. A valuable feature of the text is that many examples are given showing the application of spectral analysis to real data sets. Special emphasis is placed on the multitaper technique, because of its practical success in handling spectra with intricate structure, and its power to handle data with or without spectral lines. The text contains a large number of exercises, together with an extensive bibliography

This book is a digital electronics text focused on 'how to' design, build, operate and adapt data acquisition systems. The book is intended to serve people whose goals include teaching or learning one or more of the following: digital electronics, circuit design for computer expansion slots, software which interacts with outside hardware, the process of computer based data acquisition, and the design, adaptation, construction and testing of measurement systems. The fundamental idea of the book is that parallel I/O ports (available for all popular computers) offer a superior balance of simplicity, low cost, speed, flexibility and adaptability.

Fully updated, and now available in paperback, this edition supplies researchers with precise information in tabular form about the compounds, reagents, and techniques most frequently used in laborato

Optimization principles are of undisputed importance in modern design and system operation. They can be used for many purposes: optimal design of systems, optimal operation of systems, determination o

This book presents an introduction to singular-perturbation problems, problems which depend on a parameter in such a way that solutions behave non-uniformly as the parameter tends toward some limiting value of interest. The author considers and solves a variety of problems, mostly for ordinary differential equations. He constructs (approximate) solutions for oscillation problems, using the methods of averaging and of multiple scales. For problems of the nonoscillatory type, where solutions exhibit 'fast dynamics' in a thin initial layer, he derives solutions using the O'Malley/Hoppensteadt method and the method of matched expansions. He obtains solutions for boundary-value problems, where solutions exhibit rapid variation in thin layers, using a multivariable method. After a suitable approximate solution is constructed, the author linearizes the problem about the proposed approximate solution, and, emphasizing the use of the Banach/Picard fixed-point theorem, presents a study of the li

Clearly written text for advanced student covers: Necessary Conditions for an Extremum; Sufficient Conditions for an Extremum; Variations and Hamilton's Principle; the Nonparametric Problem of Bolza;

The text provides advanced undergraduates with the necessary background in advanced calculus topics, providing the foundation for partial differential equations and analysis. Readers of this text shou

This book is a philosophical study of the basic principles of statistical reasoning. Professor Hacking has sought to discover the simple principles which underlie modern work in mathematical statistics and to test them, both at a philosophical level and in terms of their practical consequences fort statisticians. The ideas of modern logic are used to analyse these principles, and results are presented without the use of unfamiliar symbolism. It begins with a philosophical analysis of a few central concepts and then, using an elementary system of logic, develops most of the standard statistical theory. the analysis provides answers to many disputed questions about how to test statistical hypotheses and about how to estimate quantities in the light of statistical data. One product of the analysis is a sound and consistent rationale for R. A. Fisher's controversial concept of 'fiducial probability'.

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How do unconscious motivational needs (i.e., implicit motives) influence physiology, cognition, emotion, and behavior? What are the fundamental motives and how do they operate and interact with incentives? How can motives be measured and when is a motive measure valid? How are motives shaped by biology and culture, how do they influence political and societal processes? How can we use knowledge about implicit motives in clinical, business, and sport contexts to help people achieve their goals? These are some of the topics this comprehensive book presents in 27 clearly written chapters, contributed by leading authorities in the field. It represents a state-of-the-art reference for all researchers and practitioners interested in human motivation. The first section addresses fundamental questions about the nature of motivational incentives, the role of learning in motivation, and paradigms for the experimental study of motivation. It also portrays how motives, power, affiliation, achievem