Skip to content
Free planNo credit card requiredStart writing
AI for Research home
AI for Research home
Dashboard
Sign inGet started

Search 250 million research papers

Read the abstract, see who wrote it and who cites it, and get the citation in APA, MLA, Chicago or Harvard.

About 10,000 papers for “Random variable”

Performance as a Random Variable

Isaac Tucker · 2026

Individual performance is stochastic, but strategic human capital research evaluates workers and policies only in terms of mean or expected performance. This omission embeds strong but rarely stated assumptions about organizations’ ability to absorb bad draws and capitalize on good ones. Using a portfolio model in which hiring managers choose between reliable (lower-mean, low-variance) and volatile (higher-mean, high-variance) workers, I examine how organizational wealth, scale, team composition, and production interdependence shape exposure to performance risk. The analysis shows that fragile, resource-constrained, or tightly coupled organizations pay a volatility tax and should favor reliability, whereas large, well-capitalized, or modular organizations can take advantage of more volatile talent. I develop this insight as Human Capital Portfolio Management and discuss implications for research in strategic human capital, entrepreneurship, and organizational theory.

Cited by 0

IPV random forest variable importance.

Mark T. Yost (14856498), Kevin J. Blair (19179707), McKayla Poppens (6248756) et al. · Figshare · 2024

<p>The figure indicates that excluding the LPG cooking fuel variable from the random forest model would result in the greatest loss of accuracy. Other variables of importance for maintaining model accuracy include ownership of agricultural land and age. These variables are of the greatest importance when predicting belonging to the CTR or DHS cohorts. LPG = liquid petroleum gas.</p>

Cited by 0Open access

On degenerate Poisson random variable

Mikyoung Ha, Su-Hyun Lee, Youngsoo Seol · Mathematical and Computer Modelling of Dynamical Systems · 2024

In this paper, we delve into the intricate properties of degenerate Poisson random variables, exploring their moment generating function, the law of large numbers, and the central limit theorem. Our study into the law of large numbers unveils the convergence patterns of degenerate Poisson random variables, enlightening the stability and predictability of their expected values and variances. Further enriching our study, we extend our focus to the central limit theorem, unravelling the interesting results that emerge as the sample size approaches infinity.

Cited by 2Open access

4. Lecture (25.04.2016): Random variable

Steyer, Rolf · Common Library Network (Der Gemeinsame Bibliotheksverbund) · 2016

Topics: Random variable, Sigma-algebra generated by a random variable, Sigma-algebra generated by a set system, Borel sigma-algebra, Real-valued random variable, Numerical random variable, Independence of two random variables

Cited by 0

On the distance random variable

Trybuś, Ginter · RCIN (Digital Repository of the Scientifics Institutes) (Institute of Archaeology and Ethnology of the Polish Academy of Sciences)

Cited by 0

Non-Hermitian random matrix models: Free random variable approach

Romuald A. Janik, Maciej A. Nowak, Gábor Papp et al. · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · 1997

Using the standard concepts of free random variables, we show that for a large class of non-Hermitian random matrix models, the support of the eigenvalue distribution follows from their Hermitian analogs using a conformal transformation. We also extend the concepts of free random variables to the class of non-Hermitian matrices, and apply them to the models discussed by Ginibre-Girko (elliptic ensemble) [J. Ginibre, J. Math. Phys. 6, 1440 (1965); V. L. Girko, Spectral Theory of Random Matrices (in Russian) (Nauka, Moscow, 1988)] and Mahaux-Weidenm\"uller (chaotic resonance scattering) [C. Mahaux and H. A. Weidenm\"uller, Shell-model Approach to Nuclear Reactions (North-Holland, Amsterdam, 1969)].

Cited by 68Open access

Nonhermitean Random Matrix Models : a Free Random Variable Approach

Janik, Romuald A., Nowak, Maciej A., Papp, Gabor et al. · arXiv (Cornell University) · 1996

Using the standard concepts of free random variables, we show that for a large class of nonhermitean random matrix models, the support of the eigenvalue distribution follows from their hermitean analogs using a conformal transformation. We also extend the concepts of free random variables to the class of nonhermitean matrices, and apply them to the models discussed by Ginibre-Girko (elliptic ensemble) and Mahaux-Weidenmüller (chaotic resonance scattering).

Cited by 0Open access