Characterizations Using Entropies of Records in a Geometric Random Record Model
Authors
Abstract:
Suppose that a geometrically distributed number of observations are available from an absolutely continuous distribution function $F$, within this set of observations denote the random number of records by $M$. This is called geometric random record model. In this paper, characterizations of $F$ are provided in terms of the subsequences entropies of records conditional on events ${M geq n}$ or ${M = n}$ in a geometric random record model. Characterization results for symmetric distributions are also presented based on entropies of upper and lower records in a random record model.
similar resources
investigating the feasibility of a proposed model for geometric design of deployable arch structures
deployable scissor type structures are composed of the so-called scissor-like elements (sles), which are connected to each other at an intermediate point through a pivotal connection and allow them to be folded into a compact bundle for storage or transport. several sles are connected to each other in order to form units with regular polygonal plan views. the sides and radii of the polygons are...
Characterizations in a Random Record Model with a Nonidentically Distributed Initial Record
We consider a sequence, of random length M , of independent, continuous observations Xi, 1 ≤ i ≤ M,whereM is geometric,X1 has cumulative distribution function (CDF)G, andXi, i ≥ 2, have CDF F . LetN be the number of upper records and letRn, n ≥ 1, be thenth record value. We show thatN is independent ofF if and only ifG(x) = G0(F (x)) for some CDF G0, and that if E(|X2|) is finite then so is E(|...
full textcost benefits of rehabilitation after acute coronary syndrome in iran; using an epidemiological model
چکیده ندارد.
Using a novel method for random noise reduction of seismic records
Random or incoherent noise is an important type of seismic noise, which can seriously affect the quality of the data. Therefore, decreasing the level of this category of noises is necessary for increasing the signal-to-noise ratio (SNR) of seismic records. Random noises and other events overlap each other in time domain, which makes it difficult to attenuate them from seismic records. In this r...
full textGeometric Entropies of Mixing (EOM)
Trigonometric and trigonometric-algebraic entropies are introduced. Regularity increases the entropy and the maximal entropy is shown to result when a regular n-gon is inscribed in a circle. A regular n-gon circumscribing a circle gives the largest entropy reduction, or the smallest change in entropy from the state of maximum entropy which occurs in the asymptotic infinite n limit. EOM are show...
full textMy Resources
Journal title
volume 13 issue None
pages 31- 42
publication date 2014-03
By following a journal you will be notified via email when a new issue of this journal is published.
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023