Author: Publisher: IOS Press
ISBN:
Category :
Languages : en
Pages : 10439
Book Description
Author: Headpress
Author: David KerekesPublisher: Critical Vision
ISBN: 9781900486262
Category : Art
Languages : en
Pages : 164
Book Description
The leading journal devoted to all aspects of popular culture and cult media, Headpress 25 turns its attention to the Dream, or Flicker, Machine. Featuring interviews with William Burroughs and Paul Bowles, Headpress 25 also includes a detailed look at the neglected life and career of the late Luis de Jesus, a star of diminutive stature whose film appearances range from sadistic sidekick in the cult 1976 feature Blood Sucking Freaks, to numerous hardcore porn features, of which the most notorious is The Anal Dwarf.
Epidemiologic Research
Author: David G. KleinbaumPublisher: John Wiley & Sons
ISBN: 9780471289852
Category : Medical
Languages : en
Pages : 552
Book Description
Epidemiologic Research Principles and Quantitative Methods DavidG. Kleinbaum, Ph.D. Lawrence L. Kupper. Ph.D. Hal Morgenstern,Ph.D. Epidemiologic Research covers the principles and methodsof planning, analysis and interpretation of epidemiologic researchstudies. It supplies the applied researcher with the mostup-to-date methodological thought and practice. Specifically, thebook focuses on quantitative (including statistical) issues arisingfrom epidemiologic investigations, as well as on the questions ofstudy design, measurement and validity. EpidemiologicResearch emphasizes practical techniques, procedures andstrategies. It presents them through a unified approach whichfollows the chronology of issues that arise during theinvestigation of an epidemic. The book's viewpoint ismultidisciplinary and equally useful to the epidemiologicresearcher and to the biostatistician. Theory is supplemented bynumerous examples, exercises and applications. Full solutions aregiven to all exercises in a separate solutions manual. Importantfeatures * Thorough discussion of the methodology of epidemiologicresearch * Stress on validity and hence on reliability * Balanced approach, presenting the most important prevailingviewpoints * Three chapters with applications of mathematical modeling
Information Retrieval
Author: Structural Macroeconometrics
Author: David N. DeJongPublisher: Princeton University Press
ISBN: 1400840503
Category : Business & Economics
Languages : en
Pages : 435
Book Description
The revised edition of the essential resource on macroeconometrics Structural Macroeconometrics provides a thorough overview and in-depth exploration of methodologies, models, and techniques used to analyze forces shaping national economies. In this thoroughly revised second edition, David DeJong and Chetan Dave emphasize time series econometrics and unite theoretical and empirical research, while taking into account important new advances in the field. The authors detail strategies for solving dynamic structural models and present the full range of methods for characterizing and evaluating empirical implications, including calibration exercises, method-of-moment procedures, and likelihood-based procedures, both classical and Bayesian. The authors look at recent strides that have been made to enhance numerical efficiency, consider the expanded applicability of dynamic factor models, and examine the use of alternative assumptions involving learning and rational inattention on the part of decision makers. The treatment of methodologies for obtaining nonlinear model representations has been expanded, and linear and nonlinear model representations are integrated throughout the text. The book offers a rich array of implementation algorithms, sample empirical applications, and supporting computer code. Structural Macroeconometrics is the ideal textbook for graduate students seeking an introduction to macroeconomics and econometrics, and for advanced students pursuing applied research in macroeconomics. The book's historical perspective, along with its broad presentation of alternative methodologies, makes it an indispensable resource for academics and professionals.
Random Precision
Author: David ParkerPublisher:
ISBN:
Category : Biography & Autobiography
Languages : en
Pages : 332
Book Description
Few people in rock music are as fascinating to their fans as Syd Barrett, the legendary lead guitarist and founder of the band Pink Floyd. This new book, prepared in a diary format, provides for the first time the full details of all his recording sessions together with exclusive interviews with many of the producers and engineers involved. This is the most comprehensive, accurate and detailed account yet published of the background to the creation of Syd Barrett's musical legacy and will be essential reading for all fans. Illustrated with B/W photos.
Experimental Combustion
Author: D. P. MishraPublisher: CRC Press
ISBN: 1466517352
Category : Science
Languages : en
Pages : 394
Book Description
Fulfilling the need for a classical approach, Experimental Combustion: An Introduction begins with an overview of the key aspects of combustion—including chemical kinetics, premixed flame, diffusion flame, and liquid droplet combustion—followed by a discussion of the general elements of measurement systems and data acquisition and analysis. In addition to these aspects, thermal flow measurements, gas composition measurements, and optical combustion diagnostics are covered extensively. Building upon this foundation in the fundamentals, the text addresses measurements, instruments, analyses, and diagnostics specific to combustion experiments, as well as: Describes the construction, working principles, application areas, and limitations of the necessary instruments for combustion systems Familiarizes the reader with the procedure for uncertainty analysis in combustion experiments Discusses advanced optical techniques, namely particle image velocimetry (PIV), laser Doppler anemometry (LDA), and planar laser-induced fluorescence (PLIF) methods From stoichiometry to smoke meters and statistical analysis, Experimental Combustion: An Introduction provides a solid understanding of the underlying concepts and measurement tools required for the execution and interpretation of practical combustion experiments.
Measurement Uncertainty
Author: Ronald H. DieckPublisher: ISA
ISBN: 9781556179150
Category : Mathematics
Languages : en
Pages : 292
Book Description
Literally an entire course between two covers, Measurement Uncertainty: Methods and Applications, Fourth Edition, presents engineering students with a comprehensive tutorial of measurement uncertainty methods in a logically categorized and readily utilized format. The new uncertainty technologies embodied in both U.S. and international standards have been incorporated into this text with a view toward understanding the strengths and weaknesses of both. The book is designed to also serve as a practical desk reference in situations that commonly confront an experimenter. The text presents the basics of the measurement uncertainty model, non-symmetrical systematic standard uncertainties, random standard uncertainties, the use of correlation, curve-fitting problems, and probability plotting, combining results from different test methods, calibration errors, and uncertainty propagation for both independent and dependent error sources. The author draws on years of experience in industry to direct special attention to the problem of developing confidence in uncertainty analysis results and using measurement uncertainty to select instrumentation systems.
Measurement Uncertainty in Chemical Analysis
Author: Paul De BièvrePublisher: Springer Science & Business Media
ISBN: 3662051737
Category : Science
Languages : en
Pages : 294
Book Description
It is now becoming recognized in the measurement community that it is as important to communicate the uncertainty related to a specific measurement as it is to report the measurement itself. Without knowing the uncertainty, it is impossible for the users of the result to know what confidence can be placed in it; it is also impossible to assess the comparability of different measurements of the same parameter. This volume collects 20 outstanding papers on the topic, mostly published from 1999-2002 in the journal "Accreditation and Quality Assurance." They provide the rationale for why it is important to evaluate and report the uncertainty of a result in a consistent manner. They also describe the concept of uncertainty, the methodology for evaluating uncertainty, and the advantages of using suitable reference materials. Finally, the benefits to both the analytical laboratory and the user of the results are considered.
Signal Processing and Machine Learning for Biomedical Big Data
Author: Ervin SejdicPublisher: CRC Press
ISBN: 1351061216
Category : Medical
Languages : en
Pages : 1151
Book Description
Within the healthcare domain, big data is defined as any ``high volume, high diversity biological, clinical, environmental, and lifestyle information collected from single individuals to large cohorts, in relation to their health and wellness status, at one or several time points.'' Such data is crucial because within it lies vast amounts of invaluable information that could potentially change a patient's life, opening doors to alternate therapies, drugs, and diagnostic tools. Signal Processing and Machine Learning for Biomedical Big Data thus discusses modalities; the numerous ways in which this data is captured via sensors; and various sample rates and dimensionalities. Capturing, analyzing, storing, and visualizing such massive data has required new shifts in signal processing paradigms and new ways of combining signal processing with machine learning tools. This book covers several of these aspects in two ways: firstly, through theoretical signal processing chapters where tools aimed at big data (be it biomedical or otherwise) are described; and, secondly, through application-driven chapters focusing on existing applications of signal processing and machine learning for big biomedical data. This text aimed at the curious researcher working in the field, as well as undergraduate and graduate students eager to learn how signal processing can help with big data analysis. It is the hope of Drs. Sejdic and Falk that this book will bring together signal processing and machine learning researchers to unlock existing bottlenecks within the healthcare field, thereby improving patient quality-of-life. Provides an overview of recent state-of-the-art signal processing and machine learning algorithms for biomedical big data, including applications in the neuroimaging, cardiac, retinal, genomic, sleep, patient outcome prediction, critical care, and rehabilitation domains. Provides contributed chapters from world leaders in the fields of big data and signal processing, covering topics such as data quality, data compression, statistical and graph signal processing techniques, and deep learning and their applications within the biomedical sphere. This book’s material covers how expert domain knowledge can be used to advance signal processing and machine learning for biomedical big data applications.