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researcher

J. Haimberg

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • last author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • q-fin.ST1
  • stat.ME1

identity via Semantic Scholar / OpenAlex

most citedCanonical Regression Quantiles with application to CEO compensation and predicting company performance

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

q-fin.ST2021

Predicting CEO Compensation in Non-Controlled Public Corporations with the Canonical Regression Quantile Method

Joseph Haimberg, Stephen Portnoy

The use of the Canonical Regression Quantiles Index proved that non-controlled companies that engage in long-term operational and financial goals post superior future performance.…

stat.ME2020★ 1 cited

Canonical Regression Quantiles with application to CEO compensation and predicting company performance

Stephen Portnoy, Joseph Haimberg

In using multiple regression methods for prediction, one often considers the linear combination of explanatory variables as an index. Seeking a single such index when here are mult…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.