Random vibration, high-cycle fatigue problems in thin-skinned structures are of concern to the U.S. Air Force. Therefore, the U.S. Air Force is interested in available methods used to approximate the response and fatigue life of aircraft structures exposed to random vibration loading, notably those exhibiting geometric nonlinear effects. The purpose of this investigation is to examine and compare the fatigue life estimates of a fully clamped aluminum plate under the influence of random electrodynamic shaker loading. The experimental strain probability density function was generated using the rain flow cycle counting technique, and the resulting fatigue estimates were compared with spectral-based finite element analysis (FEA) and experimental random response fatigue estimates (Anzai, Hiroyuki, Algorithm of the rainflow method, The International Symposium on Fatigue Damage Measurement and Evaluation under Complex Loading, OND Sokkic, Ltd., July 1991; Bannantine, J. A., Comer, J. J., and Handrock, J. L., Fundamentals of Metal Fatigue Analysis, Prentice-Hall, Inc., Upper Saddle River, NJ, 1990, pp. 193-196). The plate was modeled using the ABAQUS® linear random response algorithm and a modified nonlinear FEA code developed by Mei et al. of Old Dominion University (Dhainaut, J. M., Bin, D., Mei, C., Spottswood, S. M., and Wolfe, H. F., Non-Linear Response of Composite Panels to Random Excitation and Elevated Temperature, Structural Dynamics: Recent Advances, Univ. of Southampton, U.K., 2000; Shi, Y., and Mei, C., A Finite Element Time Domain Modal Formulation for Large Amplitude Free Vibrations of Beams and Plates, Journal of Sound and Vibration, Vol. 193, No. 2, 1996, pp. 453-464). For all scenarios the Palmgren-Miner linear damage accumulation model was utilized (Miner, M. A., Cumulative Damage in Fatigue, Journal of Applied Mechanics, Vol. 67, 1945, pp. A159-A182). This simple isotropic plate case was selected as a means for accurate assessment, as opposed to using a more complex structure initially. Results indicate that the spectral-density-based analyses provide overly conservative fatigue life estimates when compared with the experimental based fatigue life estimates.