A solution to multiple linear regression problems with ordered attributes
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Publication:1203713
DOI10.1016/0898-1221(93)90222-HzbMath0758.62030MaRDI QIDQ1203713
Publication date: 22 February 1993
Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)
quadratic programminglinear constraintsmultiple linear regressionordinal scaleregression coefficientsresidual sum of squaresordered attributes
Linear regression; mixed models (62J05) Probabilistic methods, stochastic differential equations (65C99)
Cites Work
- Empirical Bayes estimation in a multiple linear regression model
- Optimal scaling for arbitrarily ordered categories
- Some multivariate linear regression testing problems with additional observations
- Nonlinear programming approach to optimal scaling of partially ordered categories
- On the prediction of phenomena from qualitative data and the quantification of qualitative data from the mathematico-statistical point of view
- Assessing Influence in Multiple Linear Regression with Incomplete Data
- The Simplex Method for Quadratic Programming
- The influence of measurement errors in multiple linear regression
- Bayes designs for multiple linear regression on the unit sphere
- An approach to the scaling of categorized attributes
- Shrinking Towards Subspaces in Multiple Linear Regression
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