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Bivariate Density Classification by the Geometry of the Marginals
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Mariela Fernández
Veröffentlicht/Copyright:
10. März 2010
Abstract
In this work we propose a representation of a bivariate density corresponding to the given geometrical behavior of the marginals. A continuous density with compact support can be approximated by the exponential of an infinite polynomial. We find intervals for the possible values of its coefficients in the simplest cases upon the available information about the marginals.
Published Online: 2010-03-10
Published in Print: 2007-April
© Heldermann Verlag
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Artikel in diesem Heft
- Bivariate Density Classification by the Geometry of the Marginals
- Improving the Variability Function in Case of a Uni-Modal Probability Distribution
- New Results in Economic Statistical Quality Control
- Reliability Analysis Based on Scalar Fuzzy Variables
- A Bayesian Approach to Parallel Stress-Strength Models
- Max-Chart for Autocorrelated Processes
- A Note on Classes of Lifetime Distributions
- Sampling Risks for Chain Sampling Plans with Non-Constant Defective Probability
- Effects of Measurement Error on Controlling Two Dependent Process Steps
- GERT Analysis of m-consecutive-k-out-of-n:F Systems with Dependence
Schlagwörter für diesen Artikel
Bivariate density;
Marginal behavior;
Stone-Weierstrass approximation
Artikel in diesem Heft
- Bivariate Density Classification by the Geometry of the Marginals
- Improving the Variability Function in Case of a Uni-Modal Probability Distribution
- New Results in Economic Statistical Quality Control
- Reliability Analysis Based on Scalar Fuzzy Variables
- A Bayesian Approach to Parallel Stress-Strength Models
- Max-Chart for Autocorrelated Processes
- A Note on Classes of Lifetime Distributions
- Sampling Risks for Chain Sampling Plans with Non-Constant Defective Probability
- Effects of Measurement Error on Controlling Two Dependent Process Steps
- GERT Analysis of m-consecutive-k-out-of-n:F Systems with Dependence
