Statistical Analysis of Climate Series
Analyzing, Plotting, Modeling, and Predicting with R
The book presents the application of statistical methods to climatological data on temperature and precipitation. It provides specific techniques for treating series of yearly, monthly and daily records. The results’ potential relevance in the climate context is discussed.
The methodical tools are taken from time series analysis, from periodogram and wavelet analysis, from correlation and principal component analysis, and from categorical data and event-time analysis.
The applied models are - among others - the ARIMA and GARCH model, and inhomogeneous Poisson processes.
Further, we deal with a number of special statistical topics, e.g. the problem of trend-, season- and autocorrelation-adjustment, and with simultaneous statistical inference.
Programs in R and data sets on climate series, provided at the author’s homepage, enable readers (statisticians, meteorologists, other natural scientists) to perform their own exercises and discover their own applications.
178 pages; ISBN 9783642320842
, or download in
Title: Statistical Analysis of Climate Series
Author: Helmut Pruscha
New Digital Storytelling, The: Creating Narratives with New Media 2011 US$ 49.00 296 pages
The Internet For Dummies 2015 US$ 19.99 388 pages
CompTIA A+ Certification All-in-One Exam Guide, 8th Edition (Exams 220-801 & 220-802) 2012 US$ 60.00 1664 pages
Beginning ASP.NET 4.5 in VB 2012 US$ 31.49 889 pages