Alexander Macmillan
Biographic Data
| ID | 3631072 |
|---|---|
| NAME | Alexander Macmillan |
| GIVEN NAMES | Alexander |
| FAMILY NAME | Macmillan |
| SIGNATURE | MACMILLAN A |
| AFFILIATIONS | Queen's University |
| ORCID | 0000-0003-1277-0048 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 3 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1977 |
| LATEST PUBLICATION YEAR | 1984 |
| H-INDEX | 1 |
Inferences about Economies of Scale DO Depend on the Form of Statistical Analysis
Feinberg and Trotta report simulation experiments of administrative scale relationships that show inference inconsistency across statistical models. Their findings are contrasted with our previous analysis (MacMillan and Daft, a) that reported inference consistency across statistical models with respect to definitional dependency. This paper reconciles the two sets of findings by concluding that definitional dependency is not a problem in ratio v…
Relationships among Ratio Variables with Common Components
This paper examines relationships among ratio variables with common components. Simulation experiments are reported in which data samples with known relationships between ratios are analyzed. Observed ratio correlations are then compared to the known relationships. The simulation findings tentatively suggest the absence of bias or spurious correlation. The sharp contrast between our findings and the results of simulation experiments carried out b…
Structural Control Models of Organizational Change
Structural Control Models of Organizational Change
Relationships among Ratio Variables with Common Components
This paper examines relationships among ratio variables with common components. Simulation experiments are reported in which data samples with known relationships between ratios are analyzed. Observed ratio correlations are then compared to the known relationships. The simulation findings tentatively suggest the absence of bias or spurious correlation. The sharp contrast between our findings and the results of simulation experiments carried out b…
Structural Control Models of Organizational Change
Relationships among Ratio Variables with Common Components
This paper examines relationships among ratio variables with common components. Simulation experiments are reported in which data samples with known relationships between ratios are analyzed. Observed ratio correlations are then compared to the known relationships. The simulation findings tentatively suggest the absence of bias or spurious correlation. The sharp contrast between our findings and the results of simulation experiments carried out b…
Inferences about Economies of Scale DO Depend on the Form of Statistical Analysis
Feinberg and Trotta report simulation experiments of administrative scale relationships that show inference inconsistency across statistical models. Their findings are contrasted with our previous analysis (MacMillan and Daft, a) that reported inference consistency across statistical models with respect to definitional dependency. This paper reconciles the two sets of findings by concluding that definitional dependency is not a problem in ratio v…
Artificial Intelligence (3 works) · Computer Science (3 works) · Psychology (3 works) · Artificial Intelligence (2 works) · Econometrics (2 works) · Mathematics (2 works) · Statistics (2 works) · Accounting and Organizational Management (1 work) · Argument (complex analysis (1 work) · Artifact (error (1 work)