Statistical AUPs Sample Clauses

Statistical AUPs. Regulation 17(2)(a) - A record is kept for each asset in the asset pool. The Issuer provided us with a data file ‘[name.xlsx]’ (the “First Pool Run”) containing [number] pseudonymised loan identifiers for each loan in the Loan Pool as at [cut-off date] (the “Cut-off Date”). A random sample of [number in sample] loans was selected from the First Pool Run (the “Sample”) based on the pseudonymised loan identifiers, returning to the Issuer the Sample containing the Deloitte reference and pseudonymised loan identifiers. A file containing the look up of the encrypted information to the account number (the “Look-Up file”) was provided to us by the Issuer on-site. The Issuer undertakes to retain the Look-Up for the period in accordance with clause 6.6 of the Engagement Letter. The Issuer then provided us with the data file ‘[name.xlsx]’ (the “Sample Pool”) which contained the Deloitte reference, pseudonymised loan identifiers and other information on each loan in the Sample as at the Cut-off Date. We have compared the total number and value of loans included in the First Pool Run to the Programme’s investor report for the same period, published by the Issuer (the “Investor Report”) and found the following: Number First Pool Run [x] Investor Report [x] We have carried out the Statistical AUPs on the Sample Pool during the period [dates] using the following sampling approach. The sampling approach Sampling confidence is the probability that the actual errors, within a total population, are contained within the range of an estimate. Precision is the range of that estimate. The precision limit is the estimated maximum predicted number of errors within the total population. Sampling confidence and precision are stated in percentages. Attribute sampling is a method of assessing the rate of occurrences of a specified attribute in a population and requires agreed upon procedures in relation to certain characteristics of a random sample of individual loans. In this case the Statistical AUPs related to the documentation and authorisation procedures that support the Sample Pool contained in the First Pool Run. Our method of calculating attribute sample sizes is based on the binomial probability distribution. Statistical tests can only provide estimates of the error. The procedures we have undertaken, set out below, has been limited to confirming that the selected attribute from the First Pool Run information relating to the Sample Pool agreed to the original loan documentati...
Sample 1
AutoNDA by SimpleDocs

Related to Statistical AUPs

  • 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.

  • Statistical Information Any third-party statistical and market-related data included in the Registration Statement, the Time of Sale Disclosure Package and the Prospectus are based on or derived from sources that the Company believes to be reliable and accurate in all material respects.

  • 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.

  • Statistics 1. Each Party shall provide to the other Party statistics that are required by domestic laws and regulations, and, upon request, other available statistical information as may be reasonably required for the purpose of reviewing the operation of the air services.

  • Usage Statistics The Distributor shall ensure that the Publisher will provide access to both composite system-wide use data and itemized data for the Licensee, the Participating Institutions, individual campuses and labs, on a monthly basis. The statistics shall meet or exceed the most recent project Counting Online Usage of NeTworked Electronic Resources ("COUNTER") Code of Practice Release,3 including but not limited to its provisions on customer confidentiality. When a release of a new COUNTER Code of Practice is issued, the Distributor shall ensure that the Publisher will comply with the implementation time frame specified by COUNTER to provide usage statistics in the new standard format. It is more than desirable that the Standardized Usage Statistics Harvesting Initiative (SUSHI) Protocol4 is available for the Licensee to harvest the statistics.

  • MEDICAL REPORT The Agency/Department Head as a condition of granting sick leave with pay, may require medical evidence of sickness or injury acceptable to the Agency/Department. The acceptable medical evidence must be obtained from a medical practitioner currently treating the employee or the employee’s family member.

  • Medical Reports The following applies to all employees: The Employer agrees to pay the fee for medical reports required by the Employer for Sick Leave or Weekly Indemnity provisions to a maximum of fifty dollars ($50.00).

  • 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

  • Substance Abuse Treatment Information Substance abuse treatment information shall be maintained in compliance with 42 C.F.R. Part 2 if the Party or subcontractor(s) are Part 2 covered programs, or if substance abuse treatment information is received from a Part 2 covered program by the Party or subcontractor(s).

  • Data Quality 4.1 Each party ensures that the shared Personal Data is accurate.

Draft better contracts in just 5 minutes Get the weekly Law Insider newsletter packed with expert videos, webinars, ebooks, and more!