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Dr Theodore Nicholas ran the High Cycle Fatigue Program for the US Air Force between 1995 and 2003 at Wright-Patterson Air Force Base, and is one of the world's leading authorities on the subject, having authored over 250 papers in leading archival journals and books. Bringing his plethora of expertise to this book, Dr Nicholas discusses the subject of high cycle fatigue (HCF) from an engineering viewpoint in response to a series of HCF failures in the USAF and the concurrent realization that HCF failures in general were taking place universally in both civilian and military engines. T
Materials --- Fatigue. --- Dynamic testing. --- Dynamic loading (Materials) --- Loading, Dynamic (Materials) --- Loads, Dynamic (Materials) --- Dynamic testing --- Fatigue of materials --- Fatigue testing --- Fracture mechanics --- Strains and stresses --- Strength of materials --- Structural failures --- Vibration --- Testing --- Engineering --- Mechanical Engineering
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Studying Human Populations is a textbook for graduate students and research workers in social statistics and related subject areas. It follows a novel curriculum developed around the basic statistical activities of sampling, measurement and inference. Statistics is defined broadly as making decisions in the presence of uncertainty that arises as a consequence of limited resources available for collecting information. A connecting link of the presented methods is the perspective of missing information, catering for a diverse class of problems that include nonresponse, imperfect measurement and causal inference. In principle, any problem too complex for our limited analytical toolkit could be converted to a tractable problem if some additional information were available. Ingenuity is called for in declaring such (missing) information constructively, but the universe of problems that we can address is wide open, not limited by a discrete set of procedures. The monograph aims to prepare the reader for the career of an independent social statistician and to serve as a reference for methods, ideas for and ways of studying human populations: formulation of the inferential goals, design of studies, search for the sources of relevant information, analysis and presentation of results. Elementary linear algebra and calculus are prerequisites, although the exposition is quite forgiving, especially in the first few chapters. Familiarity with statistical software at the outset is an advantage, but it can be developed concurrently with studying the text. Nicholas T. Longford directs the statistical research and consulting company SNTL in Reading, England. He had held senior research posts at the Educational Testing Service, Princeton, NJ, and De Montfort University, Leicester, England. He was awarded the first Campion Fellowship by the Royal Statistical Society (2000-2002). He is a member of the editorial boards of the British Journal of Mathematical and Statistical PsychologyB and of Survey Research Methods, and a former Associate Editor of the Journal of Educational and Behavioral Statistics, Journal of Multivariate Analysis and Journals of the Royal Statistical Society Series A and D. He is the author of three other monographs, the latest entitled Missing Data and Small-Area Estimation (Springer, 2005).
Statistics. --- Biometry. --- Mathematical statistics. --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Biological statistics --- Biology --- Biometrics (Biology) --- Biostatistics --- Biomathematics --- Demography. --- Social sciences --- Epidemiology. --- Psychometrics. --- Biometrics. --- Methodology of the Social Sciences. --- Statistical Theory and Methods. --- Methodology. --- Measurement, Mental --- Measurement, Psychological --- Psychological measurement --- Psychological scaling --- Psychological statistics --- Psychology --- Psychometry (Psychophysics) --- Scaling, Psychological --- Psychological tests --- Scaling (Social sciences) --- Diseases --- Public health --- Historical demography --- Population --- Vital statistics --- Measurement --- Scaling --- Methodology --- Population Characteristics. --- Social aspects. --- Social sciences. --- Statistics . --- Biometrics (Biology). --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization
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This book develops methods for two key problems in the analysis of large-scale surveys: dealing with incomplete data and making inferences about sparsely represented subdomains. The presentation is committed to two particular methods, multiple imputation for missing data and multivariate composition for small-area estimation. The methods are presented as developments of established approaches by attending to their deficiencies. Thus the change to more efficient methods can be gradual, sensitive to the management priorities in large research organisations and multidisciplinary teams and to other reasons for inertia. The typical setting of each problem is addressed first, and then the constituency of the applications is widened to reinforce the view that the general method is essential for modern survey analysis. The general tone of the book is not "from theory to practice," but "from current practice to better practice." The third part of the book, a single chapter, presents a method for efficient estimation under model uncertainty. It is inspired by the solution for small-area estimation and is an example of "from good practice to better theory." A strength of the presentation is chapters of case studies, one for each problem. Whenever possible, turning to examples and illustrations is preferred to the theoretical argument. The book is suitable for graduate students and researchers who are acquainted with the fundamentals of sampling theory and have a good grounding in statistical computing, or in conjunction with an intensive period of learning and establishing one's own a modern computing and graphical environment that would serve the reader for most of the analytical work in the future. While some analysts might regard data imperfections and deficiencies, such as nonresponse and limited sample size, as someone else's failure that bars effective and valid analysis, this book presents them as respectable analytical and inferential challenges, opportunities to harness the computing power into service of high-quality socially relevant statistics. Overriding in this approach is the general principle—to do the best, for the consumer of statistical information, that can be done with what is available. The reputation that government statistics is a rigid procedure-based and operation-centred activity, distant from the mainstream of statistical theory and practice, is refuted most resolutely. After leaving De Montfort University in 2004 where he was a Senior Research Fellow in Statistics, Nick Longford founded the statistical research and consulting company SNTL in Leicester, England. He was awarded the first Campion Fellowship (2000–02) for methodological research in United Kingdom government statistics. He has served as Associate Editor of the Journal of the Royal Statistical Society, Series A, and the Journal of Educational and Behavioral Statistics and as an Editor of the Journal of Multivariate Analysis. He is a member of the Editorial Board of the British Journal of Mathematical and Statistical Psychology. He is the author of two other monographs, Random Coefficient Models (Oxford University Press, 1993) and Models for Uncertainty in Educational Testing (Springer-Verlag, 1995).
Surveys --- Social surveys --- Missing observations (Statistics) --- Estimation theory. --- Social sciences --- Methodology. --- Research --- Statistical methods. --- Estimating techniques --- Least squares --- Mathematical statistics --- Stochastic processes --- Data, Missing (Statistics) --- Missing data (Statistics) --- Missing values (Statistics) --- Observations, Missing (Statistics) --- Values, Missing (Statistics) --- Estimation theory --- Multivariate analysis --- Multiple imputation (Statistics) --- Government surveys --- Mathematical geography --- Mathematical statistics. --- Statistics. --- Computer simulation. --- Epidemiology. --- Psychometrics. --- Statistical Theory and Methods. --- Statistics for Social Sciences, Humanities, Law. --- Simulation and Modeling. --- Statistics and Computing/Statistics Programs. --- Diseases --- Public health --- Measurement, Mental --- Measurement, Psychological --- Psychological measurement --- Psychological scaling --- Psychological statistics --- Psychology --- Psychometry (Psychophysics) --- Scaling, Psychological --- Psychological tests --- Scaling (Social sciences) --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Measurement --- Scaling --- Methodology --- 519.2 --- 519.2 Probability. Mathematical statistics --- Probability. Mathematical statistics --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Research&delete& --- Statistics .
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This monograph presents a radical rethinking of how elementary inferences should be made in statistics, implementing a comprehensive alternative to hypothesis testing in which the control of the probabilities of the errors is replaced by selecting the course of action (one of the available options) associated with the smallest expected loss. Its strength is that the inferences are responsive to the elicited or declared consequences of the erroneous decisions, and so they can be closely tailored to the client’s perspective, priorities, value judgments and other prior information, together with the uncertainty about them.
Linear programming. --- Mathematical statistics. --- Statistical decision. --- Mathematics --- Physical Sciences & Mathematics --- Mathematical Statistics --- Statistics. --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Decision problems --- Statistics, general. --- Game theory --- Operations research --- Statistics --- Management science --- Econometrics --- Statistics .
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This book provides an expert summary of autophagy, a relatively new but rapidly expanding field of biomedical science with important implications in health and disease. After a historical review ranging up to the identification of autophagy genes in mammals, the authors discuss the signaling pathways that regulate autophagy, the mechanism of autophagosome formation and the physiological roles of autophagy in development, ageing, neurodegeneration, immune function and cell differentiation. A comprehensive list of useful antibodies for studying autophagy compiled as a community effort is included at the end. The book is intended for newcomers to the field, as well as more experienced researchers looking for a condensed but comprehensive introduction to the physiological function and regulation of the autophagic pathway in mammalian organisms.
Cytology --- Biology --- Health & Biological Sciences --- Cell death. --- Cell degeneration --- Cells --- Death (Biology) --- Cytology. --- Immunology. --- Biochemistry. --- Cell Biology. --- Animal Biochemistry. --- Biological chemistry --- Chemical composition of organisms --- Organisms --- Physiological chemistry --- Chemistry --- Medical sciences --- Immunobiology --- Life sciences --- Serology --- Cell biology --- Cellular biology --- Cytologists --- Composition --- Cell biology.
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The authoritative reference on NEURON, the simulation environment for modeling biological neurons and neural networks that enjoys wide use in the experimental and computational neuroscience communities. This book shows how to use NEURON to construct and apply empirically based models. Written primarily for neuroscience investigators, teachers, and students, it assumes no previous knowledge of computer programming or numerical methods. Readers with a background in the physical sciences or mathematics, who have some knowledge about brain cells and circuits and are interested in computational modeling, will also find it helpful. The NEURON Book covers material that ranges from the inner workings of this program, to practical considerations involved in specifying the anatomical and biophysical properties that are to be represented in models. It uses a problem-solving approach, with many working examples that readers can try for themselves.
Neural networks (Neurobiology) --- Neurons --- Nerve cells --- Neurocytes --- Cells --- Nervous system --- Biological neural networks --- Nets, Neural (Neurobiology) --- Networks, Neural (Neurobiology) --- Neural nets (Neurobiology) --- Cognitive neuroscience --- Neurobiology --- Neural circuitry --- Computer simulation --- Computer simulation.
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Fundamentals of Weed Science, Sixth Edition , places weed management in the context of weed research and science, presenting the latest advances in the role, control, and potential uses of weed plants. This book uses an ecological framework to explore the role of responsible and effective weed control in agriculture from the emergence and genetic foundation of weeds to the latest means of control and environmental effects. Fully revised, updated, and expanded, Fundamentals of Weed Science now includes insights into international trad eand consumer preferences, weed seedbanks, advancements in robotic weeding, weed flaming, and the potential of precision agriculture in weed science.
Herbicides --- Weeds
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Three years after the publication of the first edition, Radiological Anatomy for FRCR Part 1 remains the best seller in its category based on its faithful representation of the examination. This second edition is designed to reflect the change in exam format introduced in spring 2013. It includes two new chapters as well as some new cases in the remaining chapters and tests. Under the new exam format, candidates will be presented with 100 cases, with a single question per case and a single mark for the correct answer. This book covers all core topics addressed by the exam in a series of tests and includes chapters focussing specifically on paediatric cases and normal anatomical variants. The answers to questions, along with explanations and tips, are supplied at the end of each chapter. Care has been taken throughout to simulate the exam itself. The book aims not to replace the already available literature on radiological anatomy but rather to complement it as a revision guide. It will help candidates to identify the level of anatomical knowledge expected by the Royal College of Radiologists.
Radiology, Medical --- Human anatomy --- Examinations --- Clinical radiology --- Radiology (Medicine) --- Medical physics --- Anatomy, Human --- Anatomy --- Human biology --- Medical sciences --- Human body --- Radiology, Medical. --- Imaging / Radiology. --- Radiology. --- Radiological physics --- Physics --- Radiation
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Providing an overview of literary theory in Europe, this guide presents the ideas within European 'theory', focusing on the thought of major voices in poetics, philosophy, linguistics, and psychoanalysis, as well as in literary and cultural studies. The essays examine how conceptions of subjectivity, identity, and gender have been questioned.
Criticism --- Literature. --- Belles-lettres --- Western literature (Western countries) --- World literature --- Philology --- Authors --- Authorship --- Evaluation of literature --- Literary criticism --- Literature --- Rhetoric --- Aesthetics --- Technique --- Evaluation
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