Higher-Order Multivariable Polynomial Regression to Estimate Human Affective States

Scientific Reports - United Kingdom
doi 10.1038/srep23384
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Springer Science and Business Media LLC

Related search

Testing Stochastic Convergence Among Mexican States: A Polynomial Regression Analysis

Journal of Reviews on Global Economics
EconomicsEconometricsFinance
2016English

Local Polynomial Regression

English

A State Model for the Multivariable Alexander Polynomial

Pacific Journal of Mathematics
Mathematics
1993English

The Higher Order Auditory Cortex Is Involved in the Assignment of Affective Value to Sensory Stimuli

Nature Communications
AstronomyGeneticsMolecular BiologyBiochemistryChemistryPhysics
2015English

Effects of Compression on Human Performance and Affective States

British Journal of Sports Medicine
Sports MedicinePhysical TherapySports ScienceSports TherapyOrthopedicsMedicineRehabilitation
1974English

Uncovering Relationships Between Emotional States and Higher-Order Needs

International Journal of Online Marketing
2013English

Higher-Order Asymptotic Expansions of the Least-Squares Estimation Bias in First-Order Dynamic Regression Models

Computational Statistics and Data Analysis
StatisticsProbabilityApplied MathematicsComputational TheoryComputational MathematicsMathematics
2012English

Table 3: Univariate and Multivariable Cox Regression Analyses.

English

Local Composite Quantile Regression Smoothing: An Efficient and Safe Alternative to Local Polynomial Regression

Journal of the Royal Statistical Society. Series B: Statistical Methodology
UncertaintyStatisticsProbability
2010English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy