Sample Selection. The IRO shall randomly select and review a sample of 50 Stat Lab Requisitions from the Sampling Frame.
Sample Selection. The target list consists of all AGN’s observable from Cerro Paranal (δ < 22) and have an estimated total N-band flux density brighter than N = 5 or SN = 400mJy, which is the limiting magnitude for observations with MIDI, estimated from previous N-band measurements available in the literature. This list of 21 objects (without NGC 1068) was taken from the catalogue of Seyfert galaxies by Xxxxxxxxxx et al. (1988) to which we added additional sources from the compilations of Xxxxxxx et al. (1997) and Xxxxxxxx et al. (1995), plus the IR luminous galaxy M83, the starburst galaxy NGC 253 and the famous quasar 3C 273. See Table 2.1 for a complete list. Table 2.1. Observation list and fluxes for all objectsa. Name RA J2000 DEC J2000 D Mpc 11.9µm Flux mJy 8.9µm flux mJy N 2531 00 47 33.1 -25 17 17.2 3.3 0000-0000 0000 N 2532 1160 695 N 13651 03 33 36.4 -36 08 25.5 20.7 606 - N 13652 157 - N 13653 152 - IRS 05189-2524 05 21 01.4 -25 21 44.9 172.6 545 - N 2377 07 24 56.8 -09 39 36.9 31.3 < 60 - MCG-5-23-16 09 47 40.2 -30 56 54.2 31.9 648 - Mrk 1239 09 52 19.1 -01 36 43.5 79.7 638 - N 3256 10 27 51.8 -43 54 08.7 35.4 553 - N 3281 10 31 52.0 -34 51 13.3 40.9 625 - N 3758 11 36 29.0 +21 35 47.8 122 < 60 - N 3783 11 39 01.8 -37 44 18.7 37.2 590 - 3C 273 12 29 06.7 +02 03 08.5 649 345 - N 4594 12 39 59.4 -11 37 23.0 12.4 < 60 - MCG-3-34-6 13 10 23.7 -21 41 09.0 95.4 < 60 - N 5128 13 25 27.6 -43 01 08.8 5.3 1220 635 M 83 13 37 00.8 -29 51 58.6 5.2 232 - ESO 445-G50 13 49 19.3 -30 18 34.4 64.2 352 - Mrk 463 13 56 02.9 +18 22 19.5 20.7 338 - Circinus 14 13 09.3 -65 20 20.6 3.6 9700 4700 N 5506 14 13 15.0 -03 12 27.2 25 908 - N 7469 23 03 15.6 +08 52 26.4 69.2 414 - N 7582 23 18 23.5 -42 22 14.0 21.3 670 - '' aRA and DEC coordinates are coordinates taken directly from the telescope position. Distances are from XXX. RA & DEC error: ±5 . Flux errors are ±15%.
Sample Selection. During each Reporting Period, the IRO shall randomly select and review a sample of 50 Orders from the Population.
Sample Selection. My primary source of mutual fund data is Morningstar Direct. Morningstar Direct pro- vides not only data on fund return and characteristics, but also short bios of fund managers who are in charge of each fund.2 From each mutual fund’s website inside Morningstar Direct, I extract each fund manager’s specific information. This includes their educational background and their graduation year, prior work history, whether they hold financial cer- tificates, and when they received these certificate. Unfortunately, less than 10% of the fund managers sampled have complete information, and some of the observations are in-
Sample Selection. My primary source of mutual fund data is Morningstar, Inc.1 I focus on actively man- aged U.S. domestic open-end equity mutual funds. Following Elton, Gruber, and Blake (1996), I require funds to satisfy a certain lower bound of total net assets (TNA) to alleviate concerns regarding return outliers. I modify Xxxxx et al.’s criteria as described in the first chapter of this dissertation. If a fund has multiple share classes, I value weighted across share classes. In the final sample, I have 4,465 unique funds for the sample period of 1992 to 2014. Mutual fund holdings data is from Thomson Financial (also known as CDA/Spectrum S12). The main source of Thomson Financial data is periodic filings by mutual funds to the SEC (N-30D form). Prior to 1985, the SEC required each fund to report its portfolio holdings every quarter, but the requirement changed to semiannual starting in 1985. How- ever, the majority of funds continued to report every quarter and the SEC returned to the quarterly reporting requirement in February 2004. Further details on the construction of the Thomson Financial database are available in Xxxxxxx (2002). In order to utilize mutual fund data from Morningstar with holdings data from Thomson Financial, it is necessary that I construct a map between the Morningstar, CRSP and Thom- son databases. I follow the methodology provided in Xxxx and Van Binsbergen (2015) and Xxxxx and Xxxxxxxxxx (2015) in mapping between Morningstar and CRSP MFDB. I indepen- dently mapped CRSP MFDB to Morningstar Principia CDs, and then Morningstar Direct to Morningstar Principia CDs using monthly returns, TNA, CUSIP, Ticker, fund names, and dividends to map the datasets. In the end, I was able to map 90.2% of fund-month 1Patel and Xxxxxxxxxx (2015) find that managerial structure data on Morningstar Direct matches Securities and Exchange Commission (S.E.C.) filings 96% of the time and recommend using Morningstar Direct data for mutual fund manager specific analysis. observations in Morningstar to the CRSP MFDB. Then, I used MFLINKS from Xxxxxxx Research Data Services (WRDS) to map Morningstar Data to the Thomson mutual fund holdings database. I randomly selected funds from my mapping and verified that my map- ping is robust. Lastly, I then mapped each holding with CRSP and Compustat data to obtain returns, size, book-to-market ratios, and other firm specific variables. Given that the S.E.C. regulation is based on the cap size of a fund for U.S. domestic equity funds, ...
Sample Selection. Samples will be collected at a designated restroom and time on the same day the student is selected for testing or, if the student is absent on that day, on the day of the student’s return to school. If a student is unable to produce a sample at any particular time, the student will be allowed another opportunity within a reasonable time on that same day to provide a sample. All students providing samples will be given the option of doing so alone in an individual stall with the door closed. *NOTE: Any student not able to produce a sample within a reasonable time on that test day/date will be verified as a positive result for that test.
Sample Selection. Customers chosen to be part of a sample population for Hauler Route review inspection shall be selected at random by route.
Sample Selection. To test the developed model we have chosen to input data from two separate cases which consists of a 45-day-time period on both. To incorporate regular working day restriction explained in „laws and regulations‟ we found the job with the longest duration to incorporate this restriction. Looking at the data file for Case 1 in Appendix C, Gazflot3 has duration of 31 days and consequently setting the time horizon to be 45 days. By using the numbers 1-45 the model became a lot more manageable rather than applying the use of actual dates. Case 1 contains historical data from 1st of May 2010 till mid-June, while case 2 starts at the 1st of September and ends 45 days later in mid-October. These months are one of the most challenging with regards to the number of completed jobs to schedule during the year of 2010, and therefore considered good candidates for testing the model. Given the 45-day time horizon some jobs are “cut off” as they have a start date before day 1 or end later than day 45. Yet the data set contains parts of these jobs during the time they are within the time horizon. No historical data other than this set is included in the model.
Sample Selection. The Packed Product Controller shall select a minimum of 2% of packages (one (1) in every 50 packages) or part thereof from randomly selected packages from each load of certified produce consigned from the facility each day. Samples selected for inspection must be round up in quantity per consignment. Samples must be selected at random from the final packed product as it leaves the packing line; or Samples must be selected at random from the consignment following consignment assembly but prior to certification and dispatch.
Sample Selection. SDG&E shall be responsible for the selection of a representative sample for the Participating Facilities sample, based upon installation logs of Participating Facilities as they are completed. The sample may be increased or changed from year to year to ensure an accurate profile for Participating Facilities characteristics. Seller shall provide SDG&E weekly installation logs, no later than seven (7) days after the week’s installations are complete pursuant to Appendix B.
