Observations of fireballs reveal that a number of very different types of materials are routinely entering the atmosphere over a very large height and corresponding mass and energy range. There are five well-known fireball groups. The compositions of these groups can be reliably deduced on a statistical basis based entirely on their observed end-heights in the atmosphere (Ceplecha and McCrosky, 1970, Wetherill and ReVelle, 1981). ReVelle (1983, 2001, 2002, 2005) has also reinterpreted these observations in terms of the properties of porous meteoroids, using the degree to which the observational data can be reproduced using a modern hypersonic aerodynamic entry dynamics approach for porous as well as homogeneous bodies. These data and modeled parameters include the standard properties of drag, deceleration, ablation and fragmentation as well as most recently a model of the panchromatic luminous emission from the fireball during progressive atmospheric penetration. Using a recently developed bolide entry modeling code, ReVelle (2005) has systematically examined the behavior of meteoroids using their semi-well known physical properties. In order to illustrate this, we have investigated a sampling of four of the possible extremes within the NEO bolide population: 1) Type I: Antarctic bolide of 2003: A "small" Aten asteroid, 2) Type I: Park Forest meteorite fall: March 27, 2003, 3) Type I: Mediterranean bolide June 6, 2002, 4) Type II: Revelstoke meteorite fall: March 31, 1965 (with no luminosity data available), and 5) Type II/III: Tagish Lake meteorite fall: January 18, 2000 (with infrasonic data questionable?) In addition to the entry properties, each of these events (except possibly Tagish Lake) also had mechanical, acoustic-gravity waves generated that were subsequently detected following their entry into the atmosphere. Since these waves can also be used to identify key physical properties of these unusual objects, we will also report on our ability to model such wave events using these data. Finally, we will also connect the entry dynamics modeling to the acoustic-gravity wave detections utilizing the new differential acoustic efficiency concept (ReVelle et. al., 2004, ReVelle et. al., 2005 and ReVelle and Edwards, submitted to MAPS, 2006).