- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
-
LINEARITY OF REGRESSION FOR ADJACENT ORDER STATISTICS-DISCRETE CASE ; volume:34 ; number:3 ; year:2001 ; pages:711-722 ; extent:12
Demonstratio mathematica ; 34, Heft 3 (2001), 711-722 (gesamt 12)
- Creator
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Dembińska, Anna
- DOI
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10.1515/dema-2001-0321
- URN
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urn:nbn:de:101:1-2411161652203.810127024197
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:39 AM CEST
Data provider
This object is provided by:
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Dembińska, Anna
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ON CHARACTERIZING THE EXPONENTIAL DISTRIBUTION BY LINEARITY OF REGRESSION FOR NON-ADJACENT ORDER STATISTICS
Characterizing Distributions by Linearity of Regression of Generalized Order Statistics
Linearity assessment: deviation from linearity and residual of linear regression approaches
Accelerated regression-based summary statistics for discrete stochastic systems via approximate simulators
Discrete generalized order statistics
Testing linearity of regression models with dependent errors by kernel based methods
Testing linearity of regression models with dependent errors by kernel based methods
Penalized regression for discrete structures
Cardinality-Constrained Discrete Optimization for Regression
Accelerating the Pool-Adjacent-Violators Algorithm for Isotonic Distributional Regression
Goodness-of-fit statistics for discrete multivariate data
Testing for co-non-linearity
ON CHARACTERIZING THE EXPONENTIAL DISTRIBUTION BY LINEARITY OF REGRESSION FOR NON-ADJACENT ORDER STATISTICS
Characterizing Distributions by Linearity of Regression of Generalized Order Statistics
Linearity assessment: deviation from linearity and residual of linear regression approaches
Accelerated regression-based summary statistics for discrete stochastic systems via approximate simulators
Discrete generalized order statistics
Testing linearity of regression models with dependent errors by kernel based methods
Testing linearity of regression models with dependent errors by kernel based methods
Penalized regression for discrete structures
Cardinality-Constrained Discrete Optimization for Regression
Accelerating the Pool-Adjacent-Violators Algorithm for Isotonic Distributional Regression
Goodness-of-fit statistics for discrete multivariate data