"Sampling provides an up-to-date treatment of both classical and modern sampling design and estimation methods, along with sampling methods for rare, clustered, and hard-to-detect populations ... Organized into six sections, the book covers basic sampling, from simple random to …
This volume is an insightful biographical account of the life and work of William Sealy Gosset, a highly influential figure in the development of modern statistical thinking. Based on his statistical correspondence, the book provides unique insight into the ideas discussed by Go…
"Biplots are the multivariate analog of scatter plots, using multidimensional scaling to approximate the multivariate distribution of a sample in a few dimensions, to produce a graphical display. In addition, they superimpose representations of the variables on this display, so …
An SNR estimation approach and a jamming detector based on wavelet transform theory are presented. The SNR estimator is an in-service, non-data aided estimator that operates on M-PSK and QAM modulated signals transmitted over baseband CWGN channels. The signal and noise power ar…
The goal of this thesis is to develop statistical and learning algorithms for the design, analysis, measurement, and modeling of networking and security systems with specific focus on RFID systems, network performance metrics, user security, and software security. Next, I give a…
The performance of several widely-known methods for analyzing data utilizing nonlinear mixed effects models are evaluated via simulation in two settings. Each setting is a hierarchical mixed effects model in which repeated observations on a subject are modeled by subject-specifi…
My dissertation research is composed of two parts: a theoretical part on semiparametric efficient estimation and an applied part in energy economics under different dynamic settings. The essays are related in terms of their applications as well as the way in which models are con…