Learn about time series ACF and PACF in SPSS with data from the NOAA Global Climate at a Glance (1910-2015) / the Odum Institute
| データ種別 | 電子書籍 |
|---|---|
| 出版者 | London : SAGE Publications, Ltd. |
| 出版年 | 2017 |
書誌詳細を非表示
| 書誌ID | OB00842169 |
|---|---|
| 本文言語 | 英語 |
| 一般注記 | License restrictions may limit access This dataset example introduces researchers to plotting an autocorrelation function (ACF) and a partial autocorrelation function (PACF) for a single time series variable. An ACF plots the average correlation between data points in a time series with lagged values of the same series. A PACF computes the average partial correlation between data points in a time series with lagged values of the same series, but controlling for the values of shorter lags. ACFs and PACFs help researchers understand the temporal dynamics of an individual time series. This example uses a subset of data from the United States National Oceanic and Atmospheric Administration (NOAA) Climate at a Glance website. Understanding trends in global temperature will help researchers and policy makers better understand potential climate change and plan for its impact. The sample dataset used for this example has been cleaned and organized to make this example easier to follow. Interested readers should read the full documentation for the dataset before using it for research (https://www.ncdc.noaa.gov/cag/time-series/global) Description based on XML content |
| 著者標目 | *Howard W. Odum Institute for Research in Social Science |
| 件 名 | LCSH:United States National Oceanic and Atmospheric Administration LCSH:Time-series analysis -- Data processing -- Case studies 全ての件名で検索 LCSH:Earth temperature -- Asia -- Case studies 全ての件名で検索 |
| 分 類 | LCC:QA280 DC:519.55 |
| 巻冊次 | online resource ; ISBN:9781473995314 ; PRICE:No price RefWorks出力（各巻） |
| 資料種別 | 機械可読データファイル |
目次・あらすじ
類似資料
この資料の利用統計
このページへのアクセス回数：1回
※2020年8月16日以降