The purpose of this paper is to create an easily understandable version of the Ho-Lee interest rate model. The first part analyzes the model in detail, and the second part calibrates it to demonstrate how it can be applied to real market data.

International Telemetering Conference Proceedings / October 28-31, 1996 / Town and Country Hotel and Convention Center, San Diego, California / The selection of the Intermediate Frequency (IF) bandwidth filter for a data receiver for processing PCM data is based on using a peak deviation of 0.35 times the bit rate. The optimum IF bandwidth filter is equal to the bit rate. An IF bandwidth filter of 1.5 times the bit rate degrades the data by approximately 0.7 dB. The selection of the IF bandwidth filter for tracking receivers is based on the narrowest “noise bandwidth” that will yield the best system sensitivity. In some cases the noise bandwidth of the tracking receiver is the same as the IF bandwidth of the data receiver because it is the same receiver. If this is the case, the PCM bit rate determines the IF bandwidth and establishes the system sensitivity. With increasing bit rates and increased transmitter stability characteristics, the IF bandwidth filter selection criteria for a tracking receiver must include system sensitivity considerations. The tracking receiver IF bandwidth filter selection criteria should also be based on the narrowest IF bandwidth that will not cause the tracking errors to be masked by high bit rates and alter the pedestal dynamic response. This paper describes a selection criteria for a tracking receiver IF bandwidth filter based on measurements of the tracking error signals versus antenna pedestal dynamic response. Different IF bandwidth filters for low and high bit rates were used.

published_or_final_version / Business Administration / Master / Master of Business Administration

published_or_final_version / Business Administration / Master / Master of Business Administration

published_or_final_version / abstract / Real Estate and Construction / Doctoral / Doctor of Philosophy

Applications of in situ cosmogenic nuclides to problems in Quaternary geology require increasingly accurate and precise knowledge of nuclide production rates. Production rates depend on the terrestrial cosmic-ray intensity, which is a function of the elevation and geomagnetic coordinates of a sample site and the geomagnetic field intensity. The main goal of this dissertation is to improve the accuracy of cosmogenic dating by providing better constraints on the spatial variability of production rates.In this dissertation I develop a new scaling model that incorporates the best available cosmic-ray data into a framework that better describes the effects of elevation and geomagnetic shielding on production rates. This model is based on extensive measurements of energetic nucleon fluxes from neutron monitor surveys and on more limited data from low-energy neutron surveys. A major finding of this work is that neutron monitors yield scaling factors different from unshielded proportional counters. To verify that the difference is real I conducted an airborne survey of low-energy neutron fluxes at Hawaii (19.7° N 155.5° W) to compare with a nearby benchmark neutron monitor survey. Our data confirm that the attenuation length is energy dependent and suggest that the scaling factor for energetic nucleons is 10% higher between sea level and 4000 m than for low-energy neutrons at this location. An altitude profile of cosmogenic 36Cl production from lava flows on Mauna Kea, Hawaii, support the use of neutron flux measurements to scale production rates but these data do not have enough precision to confirm or reject the hypothesis of energy-dependent scaling factors.

The 1985 and 1986 Cotton Reports have the same publication and P-Series numbers. / Verticillium wilt tolerance and varietal response were factors in lint yield in this test. Highest yields were obtained from the first planting on 8 April. The 19 April planting had a lower average yield than the 7 May planting, probably because of poorer stands. Lint yields decreased an average of 5 pounds of lint/acre/day between 8 April and 7 May; 9 pounds between 7 May and 24 May; and 15 pounds between 24 May and 10 June. Deltapine (DP) 90 had the highest lint yield for the first two plantings and was among the highest for all plantings. DP 30 was highest in lint yield for the third and fourth plantings and high at other planting dates. Wilt tolerance was a factor in DP 30 performance. If the price premium for pima lint is considered, P-62 was superior to all upland cottons for the first four plantings and Pima S-6 was for the first three plantings. Wilt tolerance was undoubtedly a factor in the pima cotton performance.

The 1985 and 1986 Cotton Reports have the same publication and P-Series numbers. / Lint yield from planting on 2 April averaged 406 pounds of lint/acre less than from the 23 April planting for the 12 varieties. After 23 April, lint yield decreased an average of 6 pounds of lint/day to 7 May. For the 7 May to 20 May period the daily decrease was 10 pounds/day and from 20 May to 7 June it was 23 pounds/day. Deltapine (DP) 775, DP 90, and DP 90Y had the highest lint yield for the first two plantings and the lowest lint yield for the last planting. Centennial, in contrast, had the lowest yield for the first three planting dates and the highest yield for the last planting date. This illustrates the importance of selecting a variety that is best adapted for the particular planting period.

The 1985 and 1986 Cotton Reports have the same publication and P-Series numbers.

The 1985 and 1986 Cotton Reports have the same publication and P-Series numbers. / The earliest planting date (28 March) gave the highest average lint yield. The average decrease in lint yield with delayed planting after 28 March was 6 to 7 pounds of lint/acre/day. Varieties did not differ greatly in lint yield. The early (short season) varieties Centennial and Deltapine 30 were consistently lowest in lint yield. Deltapine 775, Deltapine 90Y, and Stoneville 112 were among the highest producers at all three planting dates.