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This study proposes a collection of automated forecasting approaches for quality of service (QoS) attributes of Web services. Each one of these approaches is able to fit and forecast a specific type of QoS stochastic characteristics, however, taken …

This thesis introduces a fast, easy and accurate Gibbs sampling algorithm to develop a Bayesian inference for a multiplicative seasonal autoregressive moving average (SARMA) model. The proposed algorithm uses values generated from normal and inverse …