23 citations · 26 across the 7 of their papers we have counts for
7 papers
The Bunching and Monotonicity Properties of Families of Probability Distributions
S. Portnoy, N. Torrado, J. J. P. Veerman
Measuring the concentration of random variables is a fundamental concept in probability and statistics. Here, we explore a type of concentration measure for continuous random varia…
Valid confidence intervals for when there is only one observation available
Stephen Portnoy, Anirban DasGupta
Portnoy (2019) considered the problem of constructing an optimal confidence interval for the mean based on a single observation . Here we extend…
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.…
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…
Some Theorems on Optimality of a Single Observation Confidence Interval for the Mean of a Normal Distribution
Stephen Portnoy
We consider the problem of finding a proper confidence interval for the mean based on a single observation from a normal distribution with both mean and variance unknown. Portnoy (…
Exact Probability Bounds under Moment-matching Restrictions
Stephen Portnoy
Lindsay and Basak (2000) posed the question of how far from normality could a distribution be if it matches normal moments. They provided a bound on the maximal difference in c…
Nearly root-n approximation for regression quantile processes
Stephen Portnoy
Traditionally, assessing the accuracy of inference based on regression quantiles has relied on the Bahadur representation. This provides an error of order in normal appr…