Correlation control in small sample Monte Carlo type simulations II: Analysis of estimation formulas, random correlation and perfect uncorrelatedness
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F12%3APU96313" target="_blank" >RIV/00216305:26110/12:PU96313 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Correlation control in small sample Monte Carlo type simulations II: Analysis of estimation formulas, random correlation and perfect uncorrelatedness
Original language description
This paper presents a number of theoretical and numerical results regarding correlation coefficients and two norms of correlation matrices in relation to correlation control in Monte Carlo type sampling and the designs of experiments. The paper studies estimation formulas for Pearson linear, Spearman and Kendall rank-order correlation coefficients and formulates the lower bounds on the performance of correlation control techniques such as the one presented in the companion paper Part I. In particular, probabilistic distributions of the two norms of correlation matrices defined in Part I are delivered for an arbitrary sample size and number of random variables in the case when the sampled values are ordered randomly. Next, an approximate number of designs with perfect uncorrelatedness is estimated based on the distribution of random correlation coefficients. It is shown that a large number of designs exist that perfectly match the unit correlation matrix.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JM - Structural engineering
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
PROBABILISTIC ENGINEERING MECHANICS
ISSN
0266-8920
e-ISSN
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Volume of the periodical
27
Issue of the periodical within the volume
1
Country of publishing house
GB - UNITED KINGDOM
Number of pages
16
Pages from-to
1-16
UT code for WoS article
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EID of the result in the Scopus database
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