Error Probability Analysis Sample Clauses

Error Probability Analysis. An error occurs only if one = I(u; yr) − 2εn
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Error Probability Analysis. An error occurs only if one of the following events occur: = I(u; yr) − 2εn (34) Next, as verified below, the channel to the eavesdropper e n n n (un, sn) → y n, is memoryless: n n n E1 = {(u (l), s ) ∈/ Tε (u, s) for all 1 ≤ l ≤ T } (28) pyn |un,s e n (ye |u , s ) n n n n n n n n n n n Σ E2 = {(u (L), yr ) ∈/ Tε (u, yr)} (29) = n n e e pyn |un ,sn,xn (y |u , s , x )pxn |un ,sn (x |u , s ) E3 = {(u (l), yr ) ∈ Tε (u, yr) for some l L} (30) xn ∈X n Since the number of sequences T > 2nI(u;s) it follows from the Covering Lemma [29, Chapter 3] that Pr(E ) → 0 as Σ Yn = xxx |u,s,x (ye,i|ui, si, xi)px|u,s (xi|ui, si) c n n n n xn ∈X n i=1 n → ∞. Furthermore let E1 = {(u , s , x ) ∈ Tε′ (u, s, x )} Yn Σ and Pr(Ec) → 1 as n → ∞ for any ε′ < ε. Since = p (y |u , s , x )p (x |u , s )

Related to Error Probability Analysis

  • Statistical Analysis 31 F-tests and t-tests will be used to analyze OV and Quality Acceptance data. The F-test is a 32 comparison of variances to determine if the OV and Quality Acceptance population variances 33 are equal. The t-test is a comparison of means to determine if the OV and Quality Acceptance 34 population means are equal. In addition to these two types of analyses, independent verification 35 and observation verification will also be used to validate the Quality Acceptance test results.

  • Data Analysis In the meeting, the analysis that has led the College President to conclude that a reduction- in-force in the FSA at that College may be necessary will be shared. The analysis will include but is not limited to the following: ● Relationship of the FSA to the mission, vision, values, and strategic plan of the College and district ● External requirement for the services provided by the FSA such as accreditation or intergovernmental agreements ● Annual instructional load (as applicable) ● Percentage of annual instructional load taught by Residential Faculty (as applicable) ● Fall Full-Time Student Equivalent (FFTE) inclusive of dual enrollment ● Number of Residential Faculty teaching/working in the FSA ● Number of Residential Faculty whose primary FSA is the FSA being analyzed ● Revenue trends over five years for the FSA including but not limited to tuition and fees ● Expenditure trends over five years for the FSA including but not limited to personnel and capital ● Account balances for any fees accounts within the FSA ● Cost/benefit analysis of reducing all non-Residential Faculty plus one Residential Faculty within the FSA ● An explanation of the problem that reducing the number of faculty in the FSA would solve ● The list of potential Residential Faculty that are at risk of layoff as determined by the Vice Chancellor of Human Resources ● Other relevant information, as requested

  • Justification and Anticipated Results The Privacy Act requires that each matching agreement specify the justification for the program and the anticipated results, including a specific estimate of any savings. 5 U.S.C. § 552a(o)(1)(B).

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  • Analysis LICENSEE represents and agrees that it will only incorporate Components received from authorized suppliers into Licensed Products and for no other purpose, and that LICENSEE will not directly or indirectly attempt to reverse-engineer any material provided to it hereunder by LICENSEE or any supplier of any Component.

  • Statistical Sampling Documentation a. A copy of the printout of the random numbers generated by the “Random Numbers” function of the statistical sampling software used by the IRO.

  • Study An application for leave of absence for professional study must be supported by a written statement indicating what study or research is to be undertaken, or, if applicable, what subjects are to be studied and at what institutions.

  • Findings 2. Based on the information known by or provided to the Department, the following findings are asserted for purposes of this Contract:

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