Nonstationarities in Hydrologic and Environmental Time Series (Water Science and Technology Library 45) （2003. 392 S. 240 mm）

個数：
  • ポイントキャンペーン

Nonstationarities in Hydrologic and Environmental Time Series (Water Science and Technology Library 45) （2003. 392 S. 240 mm）

  • ウェブストア価格 ¥37,098（本体¥33,726）
  • SPRINGER NETHERLANDS（2003発売）
  • 外貨定価 US$ 169.99
  • 【ウェブストア限定】洋書・洋古書ポイント5倍対象商品（～2/28）
  • ポイント 1,685pt
  • 提携先の海外書籍取次会社に在庫がございます。通常3週間で発送いたします。
    【重要ご説明事項】
    1. 納期遅延や、ご入手不能となる場合が若干ございます。
    2. 複数冊ご注文の場合は、ご注文数量が揃ってからまとめて発送いたします。
    3. 美品のご指定は承りかねます。

    ●3Dセキュア導入とクレジットカードによるお支払いについて
  • 【入荷遅延について】
    世界情勢の影響により、海外からお取り寄せとなる洋書・洋古書の入荷が、表示している標準的な納期よりも遅延する場合がございます。
    おそれいりますが、あらかじめご了承くださいますようお願い申し上げます。
  • ◆画像の表紙や帯等は実物とは異なる場合があります。
  • ◆ウェブストアでの洋書販売価格は、弊社店舗等での販売価格とは異なります。
    また、洋書販売価格は、ご注文確定時点での日本円価格となります。
    ご注文確定後に、同じ洋書の販売価格が変動しても、それは反映されません。
  • 製本 Hardcover:ハードカバー版／ページ数 392 p.
  • 言語 ENG
  • 商品コード 9781402012976

基本説明

Presents a number of new techniques that have been discussed in the literature during the last two decades concerning the investigation of stationarity, linearity and Gaussianity of hydrologic and environmental times series.

Full Description

Most of the time series analysis methods applied today rely heavily on the key assumptions of linearity, Gaussianity and stationarity. Natural time series, including hydrologic, climatic and environmental time series, which satisfy these assumptions seem to be the exception rather than the rule. Nevertheless, most time series analysis is performed using standard methods after relaxing the required conditions one way or another, in the hope that the departure from these assumptions is not large enough to affect the result of the analysis. A large amount of data is available today after almost a century of intensive data collection of various natural time series. In addition to a few older data series such as sunspot numbers, sea surface temperatures, and so on, data obtained through dating techniques (tree-ring data, ice core data, geological and marine deposits) are available. With the advent of powerful computers, the use of simplified methods can no longer be justified, especially with the limited success of those methods in explaining the inherent variability in natural time series.
This study presents a number of techniques that have been discussed in the literature during the 1980s and 1990s concerning the investigation of stationarity, linearity and Gaussianity of hydrologic and environmental times series. These techniques cover different approaches for assessing nonstationarity, ranging from time domain analysis, to frequency domain analysis, to the combined time-frequency and time-scale analyses, to segmentation analysis, in addition to formal statistical tests of linearity and Gaussianity.