Fan Fan's Books

Alluvial Fan Flooding

By: National Research Council,Division on Earth and Life Studies,Commission on Geosciences, Environment and Resources,Committee on Alluvial Fan Flooding

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Alluvial Fan Flooding

By: National Research Council,Division on Earth and Life Studies,Commission on Geosciences, Environment and Resources,Committee on Alluvial Fan Flooding

Alluvial fans are gently sloping, fan-shaped landforms common at the base of mountain ranges in arid and semiarid regions such as the American West. Floods on alluvial fans, although characterized by relatively shallow depths, strike with little if any warning, can travel at extremely high velocities, and can carry a tremendous amount of sediment and debris. Such flooding presents unique problems to federal and state planners in terms of quantifying flood hazards, predicting the magnitude at which those hazards can be expected at a particular location, and devising reliable mitigation strategies. Alluvial Fan Flooding attempts to improve our capability to determine whether areas are subject to alluvial fan flooding and provides a practical perspective on how to make such a determination. The book presents criteria for determining whether an area is subject to flooding and provides examples of applying the definition and criteria to real situations in Arizona, California, New Mexico, Utah, and elsewhere. The volume also contains recommendations for the Federal Emergency Management Agency, which is primarily responsible for floodplain mapping, and for state and local decisionmakers involved in flood hazard reduction.

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Page Count

182

Publisher

National Academies Press

Published Date

ISBN 10

0309185491

ISBN 13

9780309185493

The Fan Museum

By: Hélène Alexander,Fan Museum (London, England)

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The Fan Museum

By: Hélène Alexander,Fan Museum (London, England)

This work tells the story of the privately owned Fan Museum in London, its aims and aspirations, and illustrates in detail over fifty of the most prestigious fans and fan leaves in its collection, ranging from a 1681 folding fan depicting Louis XIV and his family, to a Victorian fan with guards containing compartments which house a minute sewing kit with scissors, a mirror and a comb.

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Publisher

Third Millennium Information Ltd

Published Date

ISBN 10

0954031911

ISBN 13

9780954031916

Statistical Foundations of Data Science

By: Jianqing Fan,Runze Li,Cun-Hui Zhang,Hui Zou

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Statistical Foundations of Data Science

By: Jianqing Fan,Runze Li,Cun-Hui Zhang,Hui Zou

Statistical Foundations of Data Science gives a thorough introduction to commonly used statistical models, contemporary statistical machine learning techniques and algorithms, along with their mathematical insights and statistical theories. It aims to serve as a graduate-level textbook and a research monograph on high-dimensional statistics, sparsity and covariance learning, machine learning, and statistical inference. It includes ample exercises that involve both theoretical studies as well as empirical applications. The book begins with an introduction to the stylized features of big data and their impacts on statistical analysis. It then introduces multiple linear regression and expands the techniques of model building via nonparametric regression and kernel tricks. It provides a comprehensive account on sparsity explorations and model selections for multiple regression, generalized linear models, quantile regression, robust regression, hazards regression, among others. High-dimensional inference is also thoroughly addressed and so is feature screening. The book also provides a comprehensive account on high-dimensional covariance estimation, learning latent factors and hidden structures, as well as their applications to statistical estimation, inference, prediction and machine learning problems. It also introduces thoroughly statistical machine learning theory and methods for classification, clustering, and prediction. These include CART, random forests, boosting, support vector machines, clustering algorithms, sparse PCA, and deep learning.

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Page Count

974

Publisher

CRC Press

Published Date

ISBN 10

0429527616

ISBN 13

9780429527616

Sword Quest

By: Nancy Yi Fan

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Sword Quest

By: Nancy Yi Fan

One magical sword. Two rivals. Wind-voice the half-dove, formerly enslaved, is now free, and Maldeor, the one-winged archaeopteryx, hungers for supreme power. The adversaries will both embark on their own epic quest to find the sword that will determine the future of birdkind. An exciting prequel to the New York Times bestseller Swordbird.

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Page Count

316

Publisher

Harper Collins

Published Date

ISBN 10

006175725X

ISBN 13

9780061757259

Sternmania

The Unofficial Guide to the Howard Stern Show

By: Ray D. O'Fan

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Sternmania

The Unofficial Guide to the Howard Stern Show

By: Ray D. O'Fan

How much do you really know about The Howard Stern Show? This totally unauthorized and completely uncensored look at this often outrageous, always irreverent radio show answers 300 questions about Stern and his famous program, compiled from the personal writings, notes, and diaries of one of Stern's most idiosyncratic fans. Photos throughout.

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Page Count

100

Publisher

Dell Publishing Company

Published Date

ISBN 10

0440506697

ISBN 13

9780440506690

Reservoir Sedimentation Handbook

Design and Management of Dams, Reservoirs, and Watersheds for Sustainable Use

By: Gregory L. Morris,Jiahua Fan

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Reservoir Sedimentation Handbook

Design and Management of Dams, Reservoirs, and Watersheds for Sustainable Use

By: Gregory L. Morris,Jiahua Fan

Focusing on reservoir sedimentation management and control, this work defines the nature and severity of sedimentation, reviews relevant physical processes, describes techniques used to combat sedimentation, and presents detailed case studies.

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Page Count

864

Publisher

McGraw Hill Professional

Published Date

ISBN 10

007043302X

ISBN 13

9780070433021

Book's by Fan Fan

Alluvial Fan Flooding

Alluvial Fan Flooding

The Fan Museum

The Fan Museum

Statistical Foundations of Data Science

Statistical Foundations of Data Science

Sword Quest

Sword Quest

Sternmania

Sternmania

Reservoir Sedimentation Handbook

Reservoir Sedimentation Handbook

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