White Noise

White Noise

Author: Don DeLillo

Publisher: Penguin

Published: 1999-06-01

Total Pages: 324

ISBN-13: 1440674477

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NATIONAL BOOK AWARD WINNER • An “eerie, brilliant, and touching” (The New York Times) modern classic about mass culture and the numbing effects of technology. “Tremendously funny . . . A stunning performance from one of our most intelligent novelists.”—The New Republic The inspiration for the award-winning major motion picture starring Adam Driver and Greta Gerwig Jack Gladney teaches Hitler Studies at a liberal arts college in Middle America where his colleagues include New York expatriates who want to immerse themselves in “American magic and dread.” Jack and his fourth wife, Babette, bound by their love, fear of death, and four ultramodern offspring, navigate the usual rocky passages of family life to the background babble of brand-name consumerism. Then a lethal black chemical cloud floats over their lives, an “airborne toxic event” unleashed by an industrial accident. The menacing cloud is a more urgent and visible version of the “white noise” engulfing the Gladney family—radio transmissions, sirens, microwaves, ultrasonic appliances, and TV murmurings—pulsing with life, yet suggesting something ominous.


Methods And Applications Of White Noise Analysis In Interdisciplinary Sciences

Methods And Applications Of White Noise Analysis In Interdisciplinary Sciences

Author: Christopher C Bernido

Publisher: World Scientific

Published: 2014-11-27

Total Pages: 202

ISBN-13: 9814569135

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Analysis, modeling, and simulation for better understanding of diverse complex natural and social phenomena often require powerful tools and analytical methods. Tractable approaches, however, can be developed with mathematics beyond the common toolbox. This book presents the white noise stochastic calculus, originated by T Hida, as a novel and powerful tool in investigating physical and social systems. The calculus, when combined with Feynman's summation-over-all-histories, has opened new avenues for resolving cross-disciplinary problems. Applications to real-world complex phenomena are further enhanced by parametrizing non-Markovian evolution of a system with various types of memory functions. This book presents general methods and applications to problems encountered in complex systems, scaling in industry, neuroscience, polymer physics, biophysics, time series analysis, relativistic and nonrelativistic quantum systems.


Introduction to Time Series Analysis and Forecasting

Introduction to Time Series Analysis and Forecasting

Author: Douglas C. Montgomery

Publisher: John Wiley & Sons

Published: 2015-03-30

Total Pages: 672

ISBN-13: 1118745221

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Praise for the First Edition "…[t]he book is great for readers who need to applythe methods and models presented but have little background inmathematics and statistics." -MAA Reviews Thoroughly updated throughout, Introduction to Time SeriesAnalysis and Forecasting, Second Edition presents theunderlying theories of time series analysis that are needed toanalyze time-oriented data and construct real-world short- tomedium-term statistical forecasts. Authored by highly-experienced academics and professionals inengineering statistics, the Second Edition featuresdiscussions on both popular and modern time series methodologies aswell as an introduction to Bayesian methods in forecasting.Introduction to Time Series Analysis and Forecasting, SecondEdition also includes: Over 300 exercises from diverse disciplines including healthcare, environmental studies, engineering, and finance More than 50 programming algorithms using JMP®, SAS®,and R that illustrate the theory and practicality of forecastingtechniques in the context of time-oriented data New material on frequency domain and spatial temporaldata analysis Expanded coverage of the variogram and spectrum withapplications as well as transfer and intervention modelfunctions A supplementary website featuring PowerPoint®slides, data sets, and select solutions to the problems Introduction to Time Series Analysis and Forecasting, SecondEdition is an ideal textbook upper-undergraduate andgraduate-levels courses in forecasting and time series. The book isalso an excellent reference for practitioners and researchers whoneed to model and analyze time series data to generate forecasts.


Observation Oriented Modeling

Observation Oriented Modeling

Author: James W. Grice

Publisher: Academic Press

Published: 2011-05-17

Total Pages: 257

ISBN-13: 0123851955

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This book introduces a new data analysis technique that addresses long standing criticisms of the current standard statistics. Observation Oriented Modelling presents the mathematics and techniques underlying the new method, discussing causality, modelling, and logical hypothesis testing. Examples of how to approach and interpret data using OOM are presented throughout the book, including analysis of several classic studies in psychology. These analyses are conducted using comprehensive software for the Windows operating system. - Describes the problems that statistics are meant to answer, why popularly used statistics often fail to fully answer the question, and how OOM overcomes these obstacles - Chapters include examples of statistical analysis using OOM


Understanding Jonathan Lethem

Understanding Jonathan Lethem

Author: Matthew Luter

Publisher: Univ of South Carolina Press

Published: 2015-07-15

Total Pages: 154

ISBN-13: 1611175135

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Understanding Jonathan Lethem is a study of the novels, short fiction, and nonfiction on a wide range of subjects in the arts by American novelist Jonathan Lethem, who is the recipient of the National Book Critics Circle Award for Fiction for Motherless Brooklyn, a MacArthur Foundation "genius" grant, and the Locus Award for Best First Novel for Gun, with Occasional Music. Matthew Luter explores the key contemporaries of and influences on Lethem, who is the Roy Edward Disney Professor of Creative Writing at Pomona College. Luter begins this volume by explaining how Lethem's innovative and provocative essay on creative appropriation, "The Ecstasy of Influence," differs from other writing about influence, suggesting an artistic mode that celebrates thoughtful borrowing. Readings of Lethem's three major novels follow: taken together, Motherless Brooklyn, The Fortress of Solitude, and Chronic City present a novelist coming to terms with the joys and downsides of artistic influence. Luter concludes the edition with an examination of Lethem's third collection, Lucky Alan: And Other Stories. Borrowing openly and promiscuously from earlier traditions both high and low (experimental fiction, comic books, art film, detective novels), Lethem displays a career-long interest in questioning what literary originality might mean in a postmodern age. Some suggest that such borrowings indicate a literary well that has run dry, making writers such as Lethem mere patchwork artists. Luter argues instead that Lethem's propensity for wearing his influences and obsessions on his sleeve encourages new thought about originality itself. Out with "it's all been done" and in with "look at all that's been done, and all that we can still do with it!"


Analyzing Quantitative Behavioral Observation Data

Analyzing Quantitative Behavioral Observation Data

Author: Hoi K. Suen

Publisher: Psychology Press

Published: 2014-03-05

Total Pages: 350

ISBN-13: 1317766695

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This volume provides a comprehensive summary of developments in theories and techniques within the areas of sampling, measurement, and statistical methods for analyzing behavioral data. By unifying new theories, techniques, methodologies, terminology, and language in behavioral observation research, the authors provide a comprehensive source for students and researchers.


White Noise Distribution Theory

White Noise Distribution Theory

Author: Hui-Hsiung Kuo

Publisher: CRC Press

Published: 1996-04-17

Total Pages: 408

ISBN-13: 9780849380778

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Learn the basics of white noise theory with White Noise Distribution Theory. This book covers the mathematical foundation and key applications of white noise theory without requiring advanced knowledge in this area. This instructive text specifically focuses on relevant application topics such as integral kernel operators, Fourier transforms, Laplacian operators, white noise integration, Feynman integrals, and positive generalized functions. Extremely well-written by one of the field's leading researchers, White Noise Distribution Theory is destined to become the definitive introductory resource on this challenging topic.


Radar for Meteorological and Atmospheric Observations

Radar for Meteorological and Atmospheric Observations

Author: Shoichiro Fukao

Publisher: Springer Science & Business Media

Published: 2013-08-16

Total Pages: 561

ISBN-13: 4431543341

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Epoch-making progress in meteorology and atmospheric science has always been hastened by the development of advanced observational technologies, in particular, radar technology. This technology depends on a wide range of sciences involving diverse disciplines, from electrical engineering and electronics to computer sciences and atmospheric physics. Meteorological radar and atmospheric radar each has a different history and has been developed independently. Particular radar activities have been conducted within their own communities. Although the technology of these radars draws upon many common fields, until now the interrelatedness and interdisciplinary nature of the research fields have not been consistently discussed in one volume containing fundamental theories, observational methods, and results. This book is by two authors who, with long careers in the two fields, one in academia and the other in industry, are ideal partners for writing on the comprehensive science and technology of radars for meteorological and atmospheric observations.


Time Series Analysis of Irregularly Observed Data

Time Series Analysis of Irregularly Observed Data

Author: E. Parzen

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 372

ISBN-13: 1468494031

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With the support of the Office of Naval Research Program on Statistics and Probability (Dr. Edward J. Wegman, Director), The Department of Statistics at Texas A&M University hosted a Symposium on Time Series Analysis of Irregularly Observed Data during the period February 10-13, 1983. The symposium aimed to provide a review of the state of the art, define outstanding problems for research by theoreticians, transmit to practitioners recently developed algorithms, and stimulate interaction between statisticians and researchers in subject matter fields. Attendance was limited to actively involved researchers. This volume contains refereed versions of the papers presented at the Symposium. We would like to express our appreciation to the many colleagues and staff members whose cheerful help made the Symposium a successful happening which was enjoyed socially and intellectually by all participants. I would like to especially thank Dr. Donald W. Marquardt whose interest led me to undertake to organize this Symposium. This volume is dedicated to the world wide community of researchers who develop and apply methods of statistical analysis of time series. r:;) \J Picture Caption Participants in Symposium on Time Series Analysis of Irregularly Observed Data at Texas A&M University, College Station, Texas, February 10-13, 1983 First Row: Henry L. Gray, D. W. Marquardt, P. M. Robinson, Emanuel Parzen, Julia Abrahams, E. Masry, H. L. Weinert, R. H. Shumway.