{"product_id":"time-series-analysis-in-meteorology-and-climatology-9780470971994","title":"Time Series Analysis in Meteorology and","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eTime 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.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e“In summary, I unequivocally endorse this book as a valuable contribution to the literature of time series analysis in the geosciences. It is clear and includes examples that make it accessible for students; knowledgeable practitioners will also gain new insights from this book.”  (\u003ci\u003eBulletin of the American Meteorological Society\u003c\/i\u003e,\u003cbr\u003e 1 September 2012)\u003c\/p\u003e \u003cbr\u003e \u003cbr\u003e \u003cp\u003e \u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eSeries foreword vii  \u003cp\u003ePreface ix\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1. Fourier analysis 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 Overview and terminology 2\u003c\/p\u003e \u003cp\u003e1.2 Analysis and synthesis 6\u003c\/p\u003e \u003cp\u003e1.3 Example data sets 14\u003c\/p\u003e \u003cp\u003e1.4 Statistical properties of the periodogram 23\u003c\/p\u003e \u003cp\u003e1.5 Further important topics in Fourier analysis 47\u003c\/p\u003e \u003cp\u003eAppendix 1.A Subroutine foranx 83\u003c\/p\u003e \u003cp\u003eAppendix 1.B Sum of complex exponentials 86\u003c\/p\u003e \u003cp\u003eAppendix 1.C Distribution of harmonic variances 86\u003c\/p\u003e \u003cp\u003eAppendix 1.D Derivation of Equation 1.42 92\u003c\/p\u003e \u003cp\u003eProblems 93\u003c\/p\u003e \u003cp\u003eReferences 99\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2. Linear systems 101\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Input–output relationships 102\u003c\/p\u003e \u003cp\u003e2.2 Evaluation of the convolution integral 104\u003c\/p\u003e \u003cp\u003e2.3 Fourier transforms for analog data 110\u003c\/p\u003e \u003cp\u003e2.4 The delta function 113\u003c\/p\u003e \u003cp\u003e2.5 Special input functions 118\u003c\/p\u003e \u003cp\u003e2.6 The frequency response function 122\u003c\/p\u003e \u003cp\u003e2.7 Fourier transform of the convolution integral 128\u003c\/p\u003e \u003cp\u003e2.8 Linear systems in series 130\u003c\/p\u003e \u003cp\u003e2.9 Ideal interpolation formula 132\u003c\/p\u003e \u003cp\u003eProblems 137\u003c\/p\u003e \u003cp\u003eReferences 142\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3. Filtering data 143\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Recursive and nonrecursive filtering 144\u003c\/p\u003e \u003cp\u003e3.2 Commonly used digital nonrecursive filters 150\u003c\/p\u003e \u003cp\u003e3.3 Filter design 159\u003c\/p\u003e \u003cp\u003e3.4 Lanczos filtering 161\u003c\/p\u003e \u003cp\u003eAppendix 3.A Convolution of two running mean filters 173\u003c\/p\u003e \u003cp\u003eAppendix 3.B Derivation of Equation 3.20 176\u003c\/p\u003e \u003cp\u003eAppendix 3.C Subroutine sigma 177\u003c\/p\u003e \u003cp\u003eProblems 180\u003c\/p\u003e \u003cp\u003eReferences 182\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4. Autocorrelation 183\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Definition and properties 184\u003c\/p\u003e \u003cp\u003e4.2 Formulas for the acvf and acf 188\u003c\/p\u003e \u003cp\u003e4.3 The acvf and acf for stationary digital processes 192\u003c\/p\u003e \u003cp\u003e4.4 The acvf and acf for selected processes 195\u003c\/p\u003e \u003cp\u003e4.5 Statistical formulas 201\u003c\/p\u003e \u003cp\u003e4.6 Confidence limits for the population mean 206\u003c\/p\u003e \u003cp\u003e4.7 Variance of the acvf and acf estimators 211\u003c\/p\u003e \u003cp\u003eAppendix 4.A Generating a normal random variable 215\u003c\/p\u003e \u003cp\u003eProblems 216\u003c\/p\u003e \u003cp\u003eReferences 221\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5. Lagged-product spectrum analysis 223\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 The variance density spectrum 223\u003c\/p\u003e \u003cp\u003e5.2 Relationship between the variance density spectrum and the acvf 226\u003c\/p\u003e \u003cp\u003e5.3 Spectra of random processes 230\u003c\/p\u003e \u003cp\u003e5.4 Spectra of selected processes 232\u003c\/p\u003e \u003cp\u003e5.5 Smoothing the spectrum 236\u003c\/p\u003e \u003cp\u003eAppendix 5.A Proof of Equation 5.11 239\u003c\/p\u003e \u003cp\u003eAppendix 5.B Proof of Equation 5.12 240\u003c\/p\u003e \u003cp\u003eProblems 241\u003c\/p\u003e \u003cp\u003eReferences 243\u003c\/p\u003e \u003cp\u003eIndex 245\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49525398208855,"sku":"9780470971994","price":74.05,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780470971994.jpg?v=1731860360","url":"https:\/\/bookcurl.com\/products\/time-series-analysis-in-meteorology-and-climatology-9780470971994","provider":"Book Curl","version":"1.0","type":"link"}