R Dennis Cook
Biographic Data
| ID | 4979727 |
|---|---|
| NAME | R Dennis Cook |
| GIVEN NAMES | R Dennis |
| FAMILY NAME | Cook |
| SIGNATURE | COOK R D |
| AFFILIATIONS | University of Minnesota |
| ORCID | 0000-0002-3488-4743 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 10 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1977 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Understanding the role of cultural learning in the emergence of first impressions from facial appearance
Linear Hypothesis
A differential equation model for predicting public opinions and behaviors from persuasive information
This paper shows that ideodynamics is a differential equation model capable ofpredicting public opinions and behaviors from persuasive information. Statistics are also developed for the model. The methodology is applied to predict the time trend of public opinion about the economy as quantified by the Index of Consumer Sentiment compiled by the University of Michigan. The explanatory variables are derived from news coverage of the economy in posi…
[Combining Robust and Traditional Least Squares Methods
Diagnostics for heteroscedasticity in regression
For the usual regression model without replication, we provide a diagnostic test for heteroscedasticity based on the score statistic. A graphical procedure to complement the score test is also presented.
Criticism and Influence Analysis in Regression
Detection of Influential Observation in Linear Regression
A new measure based on confidence ellipsoids is developed for judging the contribution of each data point to the determination of the least squares estimate of the parameter vector in full rank linear regression models. It is shown that the measure combines information from the studentized residuals and the variances of the residuals and predicted values. Two examples are presented.
A differential equation model for predicting public opinions and behaviors from persuasive information
This paper shows that ideodynamics is a differential equation model capable ofpredicting public opinions and behaviors from persuasive information. Statistics are also developed for the model. The methodology is applied to predict the time trend of public opinion about the economy as quantified by the Index of Consumer Sentiment compiled by the University of Michigan. The explanatory variables are derived from news coverage of the economy in posi…
Criticism and Influence Analysis in Regression
Detection of Influential Observation in Linear Regression
A new measure based on confidence ellipsoids is developed for judging the contribution of each data point to the determination of the least squares estimate of the parameter vector in full rank linear regression models. It is shown that the measure combines information from the studentized residuals and the variances of the residuals and predicted values. Two examples are presented.
Criticism and Influence Analysis in Regression
Diagnostics for heteroscedasticity in regression
For the usual regression model without replication, we provide a diagnostic test for heteroscedasticity based on the score statistic. A graphical procedure to complement the score test is also presented.
[Combining Robust and Traditional Least Squares Methods
A differential equation model for predicting public opinions and behaviors from persuasive information
This paper shows that ideodynamics is a differential equation model capable ofpredicting public opinions and behaviors from persuasive information. Statistics are also developed for the model. The methodology is applied to predict the time trend of public opinion about the economy as quantified by the Index of Consumer Sentiment compiled by the University of Michigan. The explanatory variables are derived from news coverage of the economy in posi…
Linear Hypothesis
Understanding the role of cultural learning in the emergence of first impressions from facial appearance
Mathematics (6 works) · Statistics (6 works) · Computer Science (5 works) · Econometrics (5 works) · Advanced Statistical Methods and Models (4 works) · Regression (3 works) · Regression analysis (3 works) · Economics (2 works) · Least-squares function approximation (2 works) · Linear regression (2 works)