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Consideration of demographics and variance in regression approaches to estimating body dimensions for spatial analysis of design
Gopal Nadadur,
Matthew B. Parkinson
School of Engineering Design and Innovation
Research output
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Contribution to journal
›
Article
›
peer-review
9
Scopus citations
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Dive into the research topics of 'Consideration of demographics and variance in regression approaches to estimating body dimensions for spatial analysis of design'. Together they form a unique fingerprint.
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Keyphrases
Spatial Analysis
100%
Regression Approach
100%
Body Dimensions
100%
User Populations
100%
Regression Model
66%
Regression-based Method
33%
Race-ethnicity
33%
Racial Groups
33%
Demographic Variables
33%
Estimation Model
33%
Body Size
33%
Size-and-shape
33%
Body Shape
33%
Anthropometry
33%
Residual Variance
33%
Demography
33%
Gender Distribution
33%
Military
33%
Anthropometric Data
33%
Digital Human Modeling
33%
Human Variability
33%
Common Objective
33%
Mathematics
Variance
100%
Regression Model
100%
Target Population
100%
Residual Variance
50%
Medicine and Dentistry
Spatial Analysis
100%
Anthropometry
100%
Body Mass Index
50%
Racial Group
50%
Psychology
Regression Model
100%
Body Mass Index
50%
Demographic Variable
50%
Computer Science
Demographic Variable
33%