The Statistical Anatomy of Ocean Wave Spectra (Classic Reprint)

Language: English

Published by Forgotten Books, 2017

1528013999 / 9781528013994

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Print on Demand. This book presents a rigorous analysis of wave energy spectral estimates using statistical methods, based on a study of twelve distinct intervals of wave data gathered during Hurricane Carla in 1961. Through computation of FFT spectral lines and a moving average of these lines, the author examines the statistical variability of the spectral estimates. The empirical probability law for symmetrically normed residuals, derived from these estimates, is then compared to the theoretical Chi-squared probability law, revealing a close correspondence despite the non-Gaussian nature of the hurricane waves. Notably, the author demonstrates that the FFT spectral lines can be considered asymptotically normally distributed and independent, even when the underlying water level elevations are non-Gaussian. Thus, this book provides a comprehensive understanding of the statistical properties of wave spectra and their implications for directional spectrum reliability, offering valuable insights for engineers and scientists working in coastal engineering or related fields. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book.

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Title
The Statistical Anatomy of Ocean Wave Spectra (Classic Reprint)
Author
Leon E. Borgman
Publisher
Forgotten Books
Publication year
2017
Condition
New
Book Type
print-on-demand item
Binding
Paperback
Language
English
ISBN 10
1528013999
ISBN 13
9781528013994
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Forgotten Books

London, United Kingdom

5-star seller

AbeBooks seller since June 2, 2021

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Forgotten Books’ Classic Reprint Series utilizes the latest technology to regenerate facsimiles of historically important writings. Careful attention has been made to accurately preserve the original format of each page whilst digitally enhancing the quality of the aged text.

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