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Network traffic has fractal properties such as impulsiveness, self-similarity, and long-range dependence over several time scales from milliseconds to minutes. These features have motivated the development of new traffic models and traffic control algorithms. Internet Teletraffic Modeling and Estimation presents a new statespace model for Internet traffic, which is based on a finite-dimensional representation of the Autoregressive Fractionally Integrated Moving Average (ARFIMA) random process. This book also investigates the modeling via Autoregressive (AR) processes.

Examines inequality in overall distributions of income and expenditure, and disparities across gender, region, caste, race, and access to education.