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008 120326s2012 enka ob 001 0 eng d
040 _aEBLCP
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019 _a779616355
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020 _a9781119953098
_q(ePDF)
020 _a111995309X
_q(ePDF)
020 _a9781119953104
_q(Wiley Online Library)
020 _a1119953103
_q(Wiley Online Library)
020 _a9781119960980
_q(ePub)
020 _a1119960983
_q(ePub)
020 _a9781119960997
_q(Mobi)
020 _a1119960991
_q(Mobi)
020 _z9780470971994
_q(hardback)
020 _z0470971991
_q(hardback)
024 8 _a9786613620859
029 1 _aAU@
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029 1 _aDEBBG
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029 1 _aDEBBG
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035 _a(OCoLC)781614602
_z(OCoLC)779616355
_z(OCoLC)781629167
_z(OCoLC)787849915
037 _a10.1002/9781119953104
_bWiley InterScience
_nhttp://www3.interscience.wiley.com
050 4 _aQC874.5 .D83 2011eb
072 7 _aSCI
_x042000
_2bisacsh
082 0 4 _a551.501/51955
049 _aMAIN
100 1 _aDuchon, Claude E.
245 1 0 _aTime series analysis in meteorology and climatology :
_ban introduction /
_cClaude Duchon, Robert Hale.
260 _aChichester, West Sussex ;
_aHoboken, NJ :
_bWiley-Blackwell,
_c2012.
300 _a1 online resource (xi, 250 pages) :
_billustrations.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aAdvancing weather and climate science
504 _aIncludes bibliographical references and index.
505 0 _a1. Fourier Analysis -- 2. Linear Systems -- 3. Filtering Data -- 4. Autocorrelation -- 5. Lagged-Product Spectrum Analysis -- Index.
520 _a"Time Series Analysis in Meteorology and Climatology provides an accessible overview of this notoriously difficult subject. Clearly structured throughout, the authors develop sufficient theoretical foundation to understand the basis for applying various analytical methods to a time series and show clearly how to interpret the results. Taking a unique approach to the subject, the authors use a combination of theory and application to real data sets to enhance student understanding throughout the book. This book is written for those students that have a data set in the form of a time series and are confronted with the problem of how to analyse this data. Each chapter covers the various methods that can be used to carry out this analysis with coverage of the necessary theory and its application. In the theoretical section topics covered include; the mathematical origin of spectrum windows, leakage of variance and understanding spectrum windows. The applications section includes real data sets for students to analyse. Scalar variables are used for ease of understanding for example air temperatures, wind speed and precipitation. Students are encouraged to write their own computer programmes and data sets are provided to enable them to recognize quickly whether their programme is working correctly- one data set is provided with artificial data and the other with real data where the students are required to physically interpret the results of their periodgram analysis. Based on the acclaimed and long standing course at the University of Oklahoma, the book is distinct in its approach to the subject matter in that it is written specifically for readers in meteorology and climatology and uses a mix of theory and application to real data sets"--
_cProvided by publisher.
588 0 _aPrint version record.
650 0 _aMeteorology
_xStatistical methods.
650 0 _aTime-series analysis.
650 4 _aScience.
650 4 _aGeology.
650 4 _aPhysics.
650 7 _aSCIENCE
_xEarth Sciences
_xMeteorology & Climatology.
_2bisacsh
650 7 _aMeteorology
_xStatistical methods.
_2fast
_0(OCoLC)fst01018496
650 7 _aTime-series analysis.
_2fast
_0(OCoLC)fst01151190
655 4 _aElectronic books.
700 1 _aHale, Robert,
_d1940-
776 0 8 _iPrint version:
_aDuchon, Claude E.
_tTime series analysis in meteorology and climatology.
_dChichester, West Sussex ; Hoboken, NJ : Wiley-Blackwell, 2012
_z9780470971994
_w(DLC) 2011030428
_w(OCoLC)746834703
830 0 _aAdvancing weather and climate science.
856 4 0 _uhttp://onlinelibrary.wiley.com/book/10.1002/9781119953104
_zWiley Online Library [Free Download only for SUST IP]
938 _aEBL - Ebook Library
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938 _aebrary
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938 _aEBSCOhost
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938 _aYBP Library Services
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938 _aYBP Library Services
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938 _aYBP Library Services
_bYANK
_n12879598
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