On Two Measures of Unbalancedness in a One‐Way Model and Their Relation to Efficiency

H. Ahrens · Robert L. Pincus

95 citations0/0 files storedBiometrical Journal

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Optimal Experimental Design Methods Statistical Methods and Bayesian Inference Advanced Statistical Methods and Models

Abstract

Abstract This paper discusses two measures of unbalancedness in a one‐way model and shows that for a given statistical procedure they may serve as measures of efficiency of a design. They also allow to compare for example estimation methods for variance components in designs with a fixed level of unbalancedness.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 95 citations exist upstream.

References

1978Methods of Analysis of Linear Models with Unbalanced Data

Cited by

2001The unbalanced nested error component regression model 2000SIMULTANEOUS EQUATIONS WITH INCOMPLETE PANELS 2001Nested random effects estimation in unbalanced panel data 2010Product innovation and firm growth: evidence from the integrated circuit industry

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.