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Download Statistical Analysis in Climate Research eBook

by Francis W. Zwiers,Hans von Storch

Download Statistical Analysis in Climate Research eBook
ISBN:
0521450713
Author:
Francis W. Zwiers,Hans von Storch
Category:
Mathematics
Language:
English
Publisher:
Cambridge University Press (August 13, 1999)
Pages:
494 pages
EPUB book:
1568 kb
FB2 book:
1574 kb
DJVU:
1619 kb
Other formats
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Rating:
4.4
Votes:
852


I am a phd-student in spacephysics.

I am a phd-student in spacephysics. The information density is very high in this book. It is necessary with some prior knowledge about statistics to read this book.

Hans von Storch and Francis W. Zwiers. c Cambridge University Press 1999. p. cm. Includes index. Published by the press syndicate of the university of cambridge. The Pitt Building, Trumpington Street, Cambridge CB2 1RP, United Kingdom. Subject to statutory exception and to the provisions of relevant collective licensing agreements, no reproduction of any part may take place without the written permission of Cambridge University Press. First published 1999.

Practical presentation covers both the bootstrap and permutations along with the program code necessary to put them to work.

Wang, Xiaolan L. and Zwiers, Francis W. 2001. Using redundancy analysis to improve dynamical seasonal mean 500 hPa geopotential forecasts

Wang, Xiaolan L. Using redundancy analysis to improve dynamical seasonal mean 500 hPa geopotential forecasts. International Journal of Climatology, Vol. 21, Issue.

Hans von Storch, Francis W. Climatology is, to a large degree, the study of the statistics of our climate. The purpose of this book is to help the climatologist understand the basic precepts of the statistician's art and to provide some of the background needed to apply statistical methodology correctly and usefully.

Francis W. Zwiers is Chief of the Canadian Centre for Climate Modelling and Analysis, Atmospheric Environment Service, Victoria, Canada, and an Adjunct Professor at the Department of Mathematicw and Statistics of the University of Victoria.

by Hans von Storch and Francis W. The book is self contained: introductory material, standard advanced techniques, and the specialized techniques used specifically by climatologists are all contained within this one source.

See if your friends have read any of Francis W. Zwiers's books. Hans von Storch, Francis W. Francis W. Zwiers’s Followers. None yet. Zwiers’s books.

The purpose of this book is to help the climatologist understand the basic precepts of the statistician's art and to provide some of the background needed to apply statistical methodology correctly and usefully. The book is self contained: introductory material, standard advanced techniques, and the specialized techniques used specifically by climatologists are all contained within this one source. There are a wealth of real-world examples drawn from the climate literature to demonstrate the need, power and pitfalls of statistical analysis in climate research.
  • Stoneshaper
Great book with detailed analysis including examples, equations, etc. It is a constant on my desk as a research scientist focusing on time-series analysis of sparse, scattered, global ocean data!
  • Alianyau
People interested in the subject of why we know humans caused climate change will enjoy this book. It explains all one could possibly wish to know on the subject, including Dr. Mann's _Nature_ trick. Paleoclimatology methodologies cannot be understood without first reading a book of this sort.

The book is an introductory work, written specifically for climatologists, but no attempt has been made to "dumb down" the subject: people with zero knowledge on the subject will not understand much of the material, and they will have to consult other reference regarding some methodologies, terms, and phrases.

I got my copy for $35 in the "bargain bin" of a bookstore in Santa Fe. Amazon's price is what most copies are going for (about $80), so it is a fair market cost.
  • Bukelv
I am a phd-student in spacephysics. "Statistical analysis in Climate Research" is the statistics book which has been most relevant for me that I have read until this time. The information density is very high in this book. It is necessary with some prior knowledge about statistics to read this book. It does not contain any proofs, but many references to other books. The most important thing about this book for me is that it provides solutions to many of the problems one encounter when analyzing data in geophysics. Especially good is it that it discuss situations where the "ideal" assumptions used in normal statistics books are not fulfilled.