Related Experiment Video

Updated: Mar 30, 2026

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
13:00

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

10.4K

Visual Analytics for Development and Evaluation of Order Selection Criteria for Autoregressive Processes

Thomas Löwe, Emmy-Charlotte Förster, Georgia Albuquerque

    IEEE Transactions on Visualization and Computer Graphics
    |November 4, 2015
    PubMed
    Summary

    We introduce a visual analytics tool to help experts develop and evaluate automatic order selection criteria for autoregressive processes. This approach enables faster, real-time, feedback-driven development of time series analysis methods.

    More Related Videos

    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

    Published on: July 3, 2020

    3.8K
    Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes10:43

    Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes

    Published on: June 10, 2021

    5.9K

    Related Concept Videos

    Regression Analysis01:11

    Regression Analysis

    Regression analysis is a statistical tool that describes a mathematical relationship between a dependent variable and one or more independent variables.
    In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:
    8.9K
    Econometric Views (EViews)01:29

    Econometric Views (EViews)

    Econometric Views, often stylized as EViews, is a package that merges statistical analysis with econometric studies. It is designed to provide tools for time series analysis, forecasting, and econometric model simulation. The software originated from MicroTSP software and has evolved significantly since its inception in 1981. The history of EViews is marked by a continuous effort to enhance its computational speed and user interface. It was initially developed for large computing systems but...
    676
    Statistical Analysis: Overview01:11

    Statistical Analysis: Overview

    When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
    One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
    17.2K
    Response Surface Methodology01:16

    Response Surface Methodology

    Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
    The process of RSM involves several key steps:
    834
    Friedman Two-way Analysis of Variance by Ranks01:21

    Friedman Two-way Analysis of Variance by Ranks

    Friedman's Two-Way Analysis of Variance by Ranks is a nonparametric test designed to identify differences across multiple test attempts when traditional assumptions of normality and equal variances do not apply. Unlike conventional ANOVA, which requires normally distributed data with equal variances, Friedman's test is ideal for ordinal or non-normally distributed data, making it particularly useful for analyzing dependent samples, such as matched subjects over time or repeated measures...
    567
    Introduction To Survival Analysis01:18

    Introduction To Survival Analysis

    Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
    The primary goal of survival analysis is to estimate survival time—the time...
    963