Statistical analysis of climate series analyzing, plotting, modeling, and predicting with R Helmut Pruscha

Format:

Book

Author/Creator:

Pruscha, Helmut, 1943-

Language:

English

Subjects (All):

Climatology--Statistical methods.

Climatology.

R (Computer program language).

Physical Description:

1 online resource

Other Title:

Analyzing, plotting, modeling, and predicting with R

Place of Publication:

Berlin New York Springer ©2013

Language Note:

English

System Details:

text file

PDF

Summary:

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

Contents:

Climate series Trend and season Correlation : from yearly to daily data Model and prediction : yearly data Model and prediction : monthly data Analysis of daily data Spectral analysis Complements

Notes:

Includes bibliographical references (pages 171-172) and index

Other Format:

Print version Pruscha, Helmut, 1943- Statistical analysis of climate series

ISBN:

9783642320842

3642320848

364232083X

9783642320835

1283742012

9781283742016

OCLC:

817653557

Access Restriction:

Restricted for use by site license