Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Estimation of the Physical Quantities01:05

Estimation of the Physical Quantities

4.2K
On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
4.2K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

National trends of endoscopic retrograde cholangiopancreatography utilization and outcomes in decompensated cirrhosis.

Surgical endoscopy·2018
Same author

Genetic diversity of <i>Cahi DRB</i> and <i>DQB</i> genes of caprine MHC class II in Sirohi goat.

Journal of genetics·2018
Same author

Observation of tt[over ¯]H Production.

Physical review letters·2018
Same author

Adult Influenza A (H1N1) Related Encephalitis: A Case Report.

Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine·2018
Same author

Search for Heavy Neutral Leptons in Events with Three Charged Leptons in Proton-Proton Collisions at sqrt[s]=13  TeV.

Physical review letters·2018
Same author

Search for the X(5568) State Decaying into B_{s}^{0}π^{±} in Proton-Proton Collisions at sqrt[s]=8  TeV.

Physical review letters·2018
Same journal

Elastic functional Cox regression model with shape predictors.

Journal of applied statistics·2026
Same journal

An improved two-stage binary relevance method for multilabel classification.

Journal of applied statistics·2026
Same journal

Classification of multivariate functional data with an application to ADHD fMRI data.

Journal of applied statistics·2026
Same journal

Assessing the performance of longitudinal T-lymphocytes as biomarkers of immune recovery in HIV-infected children with or without TB co-infection.

Journal of applied statistics·2026
Same journal

Sparse long-only Markowitz portfolio optimization.

Journal of applied statistics·2026
Same journal

Homogeneity of multinomial populations when data are classified into a large number of groups.

Journal of applied statistics·2026
查看所有相关文章

相关实验视频

Updated: Jun 18, 2025

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis
07:11

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis

Published on: August 19, 2021

2.4K

GARTFIMA过程及其基于谱密度的经验估计.

Niharika Bhootna1, Arun Kumar1

  • 1Department of Mathematics, Indian Institute of Technology Ropar, Rupnagar, Punjab, India.

Journal of applied statistics
|July 29, 2024
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的时间序列模型,即Gegenbauer自回归温和分数集成移动平均线 (GARTFIMA) 过程. 与现有的时间序列方法相比,GARTFIMA在模拟真实数据方面表现出卓越的性能.

关键词:
62M1010 它们是什么?分数ARIMA过程中的分数ARIMA过程.反制造工艺的过程是 Gegenbauer.参数估计的参数估计.的光谱密度.炼分数 ARIMA 工艺中的炼分数

更多相关视频

Synthesis and Operation of Fluorescent-core Microcavities for Refractometric Sensing
08:12

Synthesis and Operation of Fluorescent-core Microcavities for Refractometric Sensing

Published on: March 13, 2013

12.8K
Using Three-color Single-molecule FRET to Study the Correlation of Protein Interactions
11:22

Using Three-color Single-molecule FRET to Study the Correlation of Protein Interactions

Published on: January 30, 2018

10.1K

相关实验视频

Last Updated: Jun 18, 2025

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis
07:11

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis

Published on: August 19, 2021

2.4K
Synthesis and Operation of Fluorescent-core Microcavities for Refractometric Sensing
08:12

Synthesis and Operation of Fluorescent-core Microcavities for Refractometric Sensing

Published on: March 13, 2013

12.8K
Using Three-color Single-molecule FRET to Study the Correlation of Protein Interactions
11:22

Using Three-color Single-molecule FRET to Study the Correlation of Protein Interactions

Published on: January 30, 2018

10.1K

科学领域:

  • 时间序列分析时间序列分析
  • 随机过程 随机过程
  • 计量经济学 计量经济学

背景情况:

  • 分数集成的时间序列模型被广泛用于各种领域.
  • 现有的模型可能无法有效地捕捉复杂的时间依赖.
  • 显然,需要先进的模型,提高灵活性是显而易见的.

研究的目的:

  • 引入一个新的 Gegenbauer 自动回归炼分数集成移动平均线 (GARTFIMA) 过程.
  • 分析理论性质,包括光谱密度和自共变函数.
  • 评估参数估计技术和模型性能.

主要方法:

  • 开发了GARTFIMA工艺,并推导出其光谱密度和自转变函数.
  • 使用非线性最小平方和惠特尔概率估计来估计参数.
  • 使用模拟数据评估模型性能.

主要成果:

  • 为GARTFIMA过程推导了光谱密度和自共变函数.
  • 对模拟数据成功应用了参数估计技术.
  • GARTFIMA过程显示了对现实世界数据集的改进建模能力.

结论:

  • 拟议的GARTFIMA过程为时间序列建模提供了灵活和有效的工具.
  • 开发的估计方法适合实际应用.
  • 在捕捉真实世界的数据动态方面,GARTFIMA的表现优于传统模型.