Electronic Resource

Statistical analysis of climate series

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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.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

E767

Penerbit

Jerman : Springer Berlin, Heidelberg., 2013

Deskripsi Fisik

viii, 176 hlm.

Bahasa

ISBN/ISSN

9783642320842

Klasifikasi

NONE

Tipe Isi

text

Tipe Media

computer

Tipe Pembawa

online resource

Edisi

Ed.1

Subjek

Statistik

Info Detail Spesifik

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Pernyataan Tanggungjawab

Helmut Pruscha

Versi lain/terkait

Lampiran Berkas

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