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Thursday, July 30, 2020 | History

2 edition of Optimum position estimation for Omega found in the catalog.

Optimum position estimation for Omega

by Cecil Jerome Waylan

  • 178 Want to read
  • 24 Currently reading

Published by Naval Postgraduate School in Monterey, California .
Written in English


ID Numbers
Open LibraryOL25327521M

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Optimum position estimation for Omega by Cecil Jerome Waylan Download PDF EPUB FB2

NAVALPOSTGRADUATESCHOOL Monterey,California THESSS OPTIMUMPOSITIONESTIMATION FOROMEGA by CecilJeromeWaylan June ThesisAdvisor: Approvedforpublicrelease;distributionunlimited. T Accession Number: AD Title: Optimum Position Estimation for Omega.

Descriptive Note: Doctoral thesis, Corporate Author: NAVAL POSTGRADUATE SCHOOL MONTEREY CA Personal Author(s): Waylan, Cecil Jerome Report Date: JUN Pagination or Media Count: Abstract.

The maximum-likelihood estimator of the line of position (LOP) resulting from K frequencies received from each of two Omega stations for high SNR is derived.

The estimator takes advantage of interfrequency correlation of phase uncertainties by modeling them as resulting from phase velocity uncertainties which are jointly Gaussian with known covariance. The utilization of Omega for search Cited by: 2.

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Omega ratio. The omega ratio is a risk-return measure, like the Sharpe ratio, helps investors to assess the attractiveness of a hedge fund, mutual fund, or individual unlike the Sharpe ratio, which only takes into account the volatility, the omega ratio also. books have been written on how to capture market trends using relatively simple trading rules (Covel, ; Clenow, ).

These simple rules are concerned with the timing of buying and selling, position sizing is done using a relatively naïve approach: Equal risk in every position.

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Estimating omega for structures containing two group factors: Perils and prospects. Applied Psychological Measurement. 31 (2), Zinbarg, R., Yovel, I., Revelle, W.

& McDonald, R. Estimating generalizability to a universe of indicators that all have one attribute in common: A comparison of estimators for omega.

However, there is no method for estimating the omega-3 index from dietary intakes of n−3 and n−6 fatty acids. In contrast, the percentage of n−3 in HUFAs is a biomarker that can be predicted by dietary intake data for all relevant n−3 and n−6 fatty acids in humans by using an empirical equation developed by Lands et al (2).

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It turns out that the optimal way to estimate the car's position is by combining these two pieces of information. And this is done by multiplying these two probability functions together. The resulting product is also a Gaussian function.

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