相关实验视频

Updated: Jun 18, 2025

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
12:26

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

Published on: October 11, 2016

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使用自行回归集成移动平均线 (ARIMA) 和通用时空ARIMA (GSTARIMA) 预测爪岛对通胀的空间影响

Anisya Safira1, Riswanda Ayu Dhiya'ulhaq1, Indah Fahmiyah1

  • 1Data Science Technology, Faculty of Advanced Technology and Multidiscipline, Universitas Airlangga, Surabaya, 60115, Indonesia.

MethodsX
|August 5, 2024
PubMed
概括

准确的通货膨胀预测在爪岛对经济稳定至关重要. 该研究发现,将空间因素纳入的通用时空ARIMA (GSTARIMA) 模型显著提高了对传统自回归集成移动平均线 (ARIMA) 模型的预测准确性.

关键词:
在阿里马,阿里马就是阿里马.在ARIMA和GSTARIMA中.在GSTARIMA中使用.通货膨胀 这就是通货膨胀.空间空间 空间空间

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Data Processing Methods for 3D Seismic Imaging of Subsurface Volcanoes: Applications to the Tarim Flood Basalt

Published on: August 7, 2017

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Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

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