Random Processes

Analysis of Random Processes with Fuzzy Observations Using Discretization Method

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Random Sampling of Random Processes: Stationary Point Processes

This is the first of a series of papers treating randomly sampled random processes. Spectral analysis of the resulting samples presupposes knowledge of the statistics of 1 t~}, the random point process whose variates represent the sampling times. We introduce a class of s ta t ionary point processes, whose s ta t ionar i ty (as characterized by any of several equivalent criteria) leads to wide-...

Random Planar Structures and Random Graph Processes

Identification under Random Processes

Notes on Random Processes

Unfortunately, there’s no simple formula for this integral. Instead, tables or numerical approximation routines are used to evaluate it. The normal distribution has a characteristic bell shaped pdf. The center of the bell is at x = μ, and the parameter σ controls the width of the bell. The particular case in which μ = 0, and σ = 1 is referred to as the standard normal random variable. The lette...