## Abstract This investigation shows that Markovβchain copolymers can be regarded as random copolymers the segment lengths of which depend on the copolymerization parameters. It was possible to derive simple analytical formulae for the meanβsquare endβtoβend distance (γ__r__^2^γ), the Kuhn length,
The Bivariate Distribution of a Median Smoothed Markov Chain
β Scribed by Federico Kuhlmann; Gary L. Wise
- Publisher
- Elsevier Science
- Year
- 1982
- Tongue
- English
- Weight
- 629 KB
- Volume
- 313
- Category
- Article
- ISSN
- 0016-0032
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β¦ Synopsis
Median based smoothing algorithms have received considerable attention in the last few years. Their properties make them sometimes superior to linear smoothers. In this paper we develop an expression for the bivariate distribution of a mediansmoothed Markov chain and we illustrate one application of it by comparing the power spectra of the input and the output of a median smoother when the input is binary valued.
π SIMILAR VOLUMES
In this article a characterisation of the Gumbel's Bivariate Exponential Distribution is established on the basis of the propertiea of the conditional expectation of the component variables. The characterieing property is propoeed as the definition of lack of memory in the biveriate case.