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On the maximum-entropy approach to undersized samples

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Publication:793466
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DOI10.1016/0096-3003(84)90027-4zbMath0538.62043OpenAlexW2040640951MaRDI QIDQ793466

Denzil G. Fiebig

Publication date: 1984

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0096-3003(84)90027-4


zbMATH Keywords

generalized inversesestimation of covariance matricesmaximum-entropy approachundersized samples


Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Software, source code, etc. for problems pertaining to statistics (62-04) Probabilistic methods, stochastic differential equations (65C99)


Related Items (2)

A novel hybrid dimension reduction technique for undersized high dimensional gene expression data sets using information complexity criterion for cancer classification ⋮ A new data adaptive elastic net predictive model using hybridized smoothed covariance estimators with information complexity



Cites Work

  • Window estimates of location and scale with applications to the Cauchy distribution
  • On Least Squares with Insufficient Observations
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