首页> 外文OA文献 >Assessment of autoregressive integrated moving average (ARIMA), generalized linear autoregressive moving average (GLARMA), and random forest (RF) time series regression models for predicting influenza A virus frequency in swine in Ontario, Canada

【2h】

Assessment of autoregressive integrated moving average (ARIMA), generalized linear autoregressive moving average (GLARMA), and random forest (RF) time series regression models for predicting influenza A virus frequency in swine in Ontario, Canada

机译：评估自回归综合移动平均（ARIMA），广义线性自回归移动普通（GLARMA）和随机森林（RF）时间序列回归模型，用于预测流感在安大略省在安大略省的病毒频率，加拿大

代理获取

本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。

页面导航

著录项
相似文献
相关主题

著录项

作者
Tatiana Petukhova; Davor Ojkic; Beverly McEwen; Rob Deardon; Zvonimir Poljak;
展开▼
作者单位

展开▼
年度 2018
总页数
原文格式 PDF
正文语种
中图分类

相似文献

外文文献
中文文献
专利

1. On the Comparative Performance of Pure Vector Autoregressive-Moving Average and Vector Bilinear Autoregressive-Moving Average Time Series Models [J] . I.A. Iwok, E.H. Etuk Asian Journal of Mathematics & Statistics . 2009,第2期

机译：纯矢量自回归移动平均时间模型和矢量双线性自回归移动平均时间序列模型的比较性能
2. Univariate approach to the monthly total ozone time series over Kolkata, India: autoregressive integrated moving average (ARIMA) and autoregressive neural network (AR-NN) models [J] . GOUTAMI CHATTOPADHYAY, SURAJIT CHATTOPADHYAY International journal of remote sensing . 2010,第3a4期

机译：印度加尔各答月度总臭氧时间序列的单变量方法：自回归综合移动平均值（ARIMA）和自回归神经网络（AR-NN）模型
3. Application of one-, three-, and seven-day forecasts during early onset on the COVID-19 epidemic dataset using moving average, autoregressive, autoregressive moving average, autoregressive integrated moving average, and na?ve forecasting methods [J] . Christopher J. Lynch, Ross Gore Data in Brief . 2021,第3期

机译：在Covid-19流行性数据集早期应用中的一个，三个和七天预报的应用使用搬家平均，自回归，自回归移动平均，自回归综合移动平均线和NA ve预测方法
4. Generalized Linier Autoregressive Moving Average(GLARMA)Negative Binomial Regression Models with Metropolis Hasting Algorithm [C] . Popy Febritasari, Ni Wayan Surya Wardhani, Ummu Saadah Annual Basic Science International Conference . 2019

机译：广义衬里自回归移动平均（Glarma）具有大都市加速算法的负二项式回归模型
5. AUTOREGRESSIVE MOVING-AVERAGE (ARMA) MODEL IDENTIFICATION FOR DEGENERATE TIME SERIES WITH APPLICATION TO MANEUVERING TARGET TRACKING (STOCHASTIC MODELING, KALMAN FILTER). [D] . SPEAKMAN, NORMAN OWEN. 1985

机译：退化时间序列的自动回归平均（ARMA）模型识别，应用于机动目标跟踪（随机建模，卡尔曼滤波器）。
6. Assessment of autoregressive integrated moving average (ARIMA), generalized linear autoregressive moving average (GLARMA), and random forest (RF) time series regression models for predicting influenza A virus frequency in swine in Ontario, Canada [O] . Tatiana Petukhova, Davor Ojkic, Beverly McEwen, 2012

机译：评估加拿大安大略省猪甲型流感病毒频率的自回归综合移动平均值（ARIMA），广义线性自回归移动平均值（GLARMA）和随机森林（RF）时间序列回归模型
7. On the Comparative Performance of Pure Vector Autoregressive-Moving Average and Vector Bilinear Autoregressive-Moving Average Time Series Models [O] . I.A. Iwok, E.H. Etuk 2009

机译：论纯载体自回归移动平均值的比较表现和向量双线性自回转 - 移动平均时间序列模型
8. Estimation of Parameters in Integrated Autoregressive-Moving Average Time Series Models. Part 2. Moving Average and Mixed Models [R] . Box, G. E. P., Jenkins, G. M. 1972

机译：综合自回归 - 移动平均时间序列模型中参数的估计。第2部分。移动平均线和混合模型

Assessment of autoregressive integrated moving average (ARIMA), generalized linear autoregressive moving average (GLARMA), and random forest (RF) time series regression models for predicting influenza A virus frequency in swine in Ontario, Canada

著录项

相似文献

相关主题

期刊订阅