The first systematic, book-length treatment of the subject. Begins with a general introduction and the formal mathematical background behind qualitative and quantitative robustness. Stresses concepts. Provides selected numerical algorithms for computing robust estimates, as well as convergence proofs. Tables contain quantitative robustness information for a variety of estimates.
This book explores the many provocative questions concerning the fundamentals of data analysis. It is based on the time-tested experience of one of the gurus of the subject matter. Why should one study data analysis? How should it be taught? What techniques work best, and for whom? How valid are the results? How much data should be tested? Which machine languages should be used, if used at all? Emphasis on apprenticeship (through hands-on case studies) and anecdotes (through real-life applications) are the tools that Peter J. Huber uses in this volume. Concern with specific statistical techniques is not of immediate value; rather, questions of strategy – when to use which technique – are employed. Central to the discussion is an understanding of the significance of massive (or robust) data sets, the implementation of languages, and the use of models. Each is sprinkled with an ample number of examples and case studies. Personal practices, various pitfalls, and existing controversies are presented when applicable. The book serves as an excellent philosophical and historical companion to any present-day text in data analysis, robust statistics, data mining, statistical learning, or computational statistics.
The first systematic, book-length treatment of the subject. Begins with a general introduction and the formal mathematical background behind qualitative and quantitative robustness. Stresses concepts. Provides selected numerical algorithms for computing robust estimates, as well as convergence proofs. Tables contain quantitative robustness information for a variety of estimates.
Many in the research and clinical communities are becoming increasingly aware of the interactions between sleep disorders and chronic pain syndromes. There are a number of obstacles on the path to better patient care, and there is considerable room for improvement in the way knowledge is shared between professionals in the sleep and pain communities. This book serves as the first step toward enhancing communication between the sleep and pain communities with the intent of improving patient care.
Here is a brief, well-organized, and easy-to-follow introduction and overview of robust statistics. Huber focuses primarily on the important and clearly understood case of distribution robustness, where the shape of the true underlying distribution deviates slightly from the assumed model (usually the Gaussian law). An additional chapter on recent developments in robustness has been added and the reference list has been expanded and updated from the 1977 edition.
This book explores the many provocative questions concerning the fundamentals of data analysis. It is based on the time-tested experience of one of the gurus of the subject matter. Why should one study data analysis? How should it be taught? What techniques work best, and for whom? How valid are the results? How much data should be tested? Which machine languages should be used, if used at all? Emphasis on apprenticeship (through hands-on case studies) and anecdotes (through real-life applications) are the tools that Peter J. Huber uses in this volume. Concern with specific statistical techniques is not of immediate value; rather, questions of strategy – when to use which technique – are employed. Central to the discussion is an understanding of the significance of massive (or robust) data sets, the implementation of languages, and the use of models. Each is sprinkled with an ample number of examples and case studies. Personal practices, various pitfalls, and existing controversies are presented when applicable. The book serves as an excellent philosophical and historical companion to any present-day text in data analysis, robust statistics, data mining, statistical learning, or computational statistics.
Innovative approach to drug design that's more likely to result in an approvable drug product Retrometabolic drug design incorporates two distinct drug design approaches to obtain soft drugs and chemical delivery systems, respectively. Combining fundamentals with practical step-by-step examples, Retrometabolic Drug Design and Targeting gives readers the tools they need to take full advantage of retrometabolic approaches in order to develop safe and effective targeted drug therapies. The authors, both pioneers in the fields of soft drugs and retrometabolic drug design, offer valuable ideas, approaches, and solutions to a broad range of challenges in drug design, optimization, stability, side effects, and toxicity. Retrometabolic Drug Design and Targeting begins with an introductory chapter that explores new drugs and medical progress as well as the challenges of today's drug discovery. Next, it discusses: Basic concepts of the mechanisms of drug action Drug discovery and development processes Retrometabolic drug design Soft drugs Chemical delivery systems Inside the book, readers will find examples from different pharmacological areas detailing the rationale for each drug design. These examples set forth the relevant pharmacokinetic and pharmacodynamic properties of the new therapeutic agents, comparing these properties to those of other compounds used for the same therapeutic purpose. In addition, the authors review dedicated computer programs that are available to support and streamline retrometabolic drug design efforts. Retrometabolic Drug Design and Targeting is recommended for all drug researchers interested in employing this newly tested and proven approach to developing safe and effective drugs.
The ability to recognise and understand your own cultural context is a prerequisite to understanding and interacting with people from different cultural backgrounds. An intercultural learning approach encourages us to develop an understanding of culture and cultural difference, through reflecting on our own context and experience.
Auf fortgeschrittenem Niveau und mit didaktischem Anspruch bietet Ihnen dieser Band zahlreiche Fragen mit Antworten und eine breite Palette von Fallstudien aus der Industrie, ergänzt durch weiterführende Literaturhinweise und Referenzen der Originalliteratur. Insbesondere geht es um die modernsten katalytischen Prozesse mit ihren Anwendungen in der Pharmazie und der Feinchemikalien-Industrie, wobei auch kommerzielle Aspekte besprochen werden. Der Autor, ein erfahrener Dozent mit Industriepraxis, legt Chemikern und Chemieingenieuren damit ein praxistaugliches Hilfsmittel vor.
Bridging the gap between the video compression and communication communities, this unique volume provides an all-encompassing treatment of wireless video communications, compression, channel coding, and wireless transmission as a joint subject. WIRELESS VIDEO COMMUNICATIONS begins with relatively simple compression and information theoretical principles, continues through state-of-the-art and future concepts, and concludes with implementation-ready system solutions. This book's deductive presentation and broad scope make it essential for anyone interested in wireless communications. It systematically converts the lessons of Shannon's information theory into design principles applicable to practical wireless systems. It provides in a comprehensive manner "implementation-ready" overall system design and performance studies, giving cognizance to the contradictory design requirements of video quality, bit rate, delay, complexity error resilience, and other related system design aspects. Topics covered include information theoretical foundations block-based and convolutional channel coding very-low-bit-rate video codecs and multimode videophone transceivers high-resolution video coding using both proprietary and standard schemes CDMA/OFDM systems, third-generation and beyond adaptive video systems. WIRELESS VIDEO COMMUNICATIONS is a valuable reference for postgraduate researchers, system engineers, industrialists, managers and visual communications practitioners.
Pathology of the Human Placenta has become the gold standard in the field for pathologists and obstetrician-gynecologists. Completely up-to-date, this fifth edition continues to be the essential reference for professionals in the field and includes many revised features such as a more detailed index; 700 total illustrations (350 color illustrations); and updated tables.
Humans just aren't entirely rational creatures. We decide to roll over and hit the snooze button instead of going to the gym. We take out home loans we can't possibly afford. And did you know that people named Paul are more likely to move to St. Paul than other cities? All too often, our subconscious causes us to act against our own self-interest. But our free-market economy is based on the assumption that we always do act in our own self-interest. In this provocative book, physician Peter Ubel uses his understanding of psychology and behavior to show that in some cases government must regulate markets for our own health and well-being. And by understanding and controlling the factors that go into our decisions, big and small, we can all begin to stop the damage we do to our bodies, our finances, and our economy as a whole. Ubel's vivid stories bring his message home for anyone interested in improving the way our society works.
Massively parallel processing is currently the most promising answer to the quest for increased computer performance. This has resulted in the development of new programming languages and programming environments and has stimulated the design and production of massively parallel supercomputers. The efficiency of concurrent computation and input/output essentially depends on the proper utilization of specific architectural features of the underlying hardware. This book focuses on development of runtime systems supporting execution of parallel code and on supercompilers automatically parallelizing code written in a sequential language. Fortran has been chosen for the presentation of the material because of its dominant role in high-performance programming for scientific and engineering applications.
Freshwater field tests are an integral part of the process of hazard assessment of pesticides and other chemicals in the environment. This book brings together international experts on microcosms and mesocosms for a critical appraisal of theory and practice on the subject of freshwater field tests for hazard assessment. It is an authoritative and comprehensive summary of knowledge about freshwater field tests, with particular emphasis on their optimization for scientific and regulatory purposes. This valuable reference covers both lotic and lentic outdoor systems and addresses the choice of endpoints and test methodology. Instructive case histories show how to extrapolate test results to the real world.
Completey reorganized - a practical, how-to guide to placental examination plus the most authoritative reference available on all aspects of the normal and abnormal placenta. New chapters have been added on: Normative Values and Tables, Microscopic Survey and Histopathological Approach to Villous Alterations. More extensive indexing help meet the daily demands of bothe novice and experienced placental pathologists.
Pathology of the Human Placenta remains the authoritative text in the field and is respected and used by pathologists and obstetrician-gynecologists alike. This fifth edition reflects new advances in the field and includes 800 illustrations, 173 of them in color. The detailed index has been improved and the tables updated. Defined terms are highlighted in bold for easy identification, and further findings are discussed in small type throughout each chapter. Advances in genetics and molecular biology continue to make the study of the placenta one of vast diagnostic and legal importance.
A collection of essays and articles In honour of Erich. L. Lehmann's sixty-fifth birthday. Including works on Vector Autoregressive models, Bootstrapping Regression Models, Bootstrapping Regression Models and Estimation of the Mean or Total when Measurement Protocols.
Small-angle scattering of X-rays (SAXS) and neutrons (SANS) is an established method for the structural characterization of biological objects in a broad size range from individual macromolecules (proteins, nucleic acids, lipids) to large macromolecular complexes. SAXS/SANS is complementary to the high resolution methods of X-ray crystallography and nuclear magnetic resonance, allowing for hybrid modeling and also accounting for available biophysical and biochemical data. Quantitative characterization of flexible macromolecular systems and mixtures has recently become possible. SAXS/SANS measurements can be easily performed in different conditions by adding ligands or binding partners, and by changing physical and/or chemical characteristics of the solvent to provide information on the structural responses. The technique provides kinetic information about processes like folding and assembly and also allows one to analyze macromolecular interactions. The major factors promoting the increasingly active use of SAXS/SANS are modern high brilliance X-ray and neutron sources, novel data analysis methods, and automation of the experiment, data processing and interpretation. In this book, following the presentation of the basics of scattering from isotropic macromolecular solutions, modern instrumentation, experimental practice and advanced analysis techniques are explained. Advantages of X-rays (rapid data collection, small sample volumes) and of neutrons (contrast variation by hydrogen/deuterium exchange) are specifically highlighted. Examples of applications of the technique to different macromolecular systems are considered with specific emphasis on the synergistic use of SAXS/SANS with other structural, biophysical and computational techniques.
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