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An adaptive predictor for discrete time stochastic processes with constant but unknown parameters is described. The predictor which in real time tunes its parameters using the method of least squares is called a self-tuning predictor. The predictor has attractive asymptotic properties. If the parameter estimation converges and if the predictor contains parameters enough, then it will converge to t
This paper focuses on the special individuals, called “Edisons”, who contributed to the development and acceptance of two major radical innovations, frozen food and self-service, in Sweden after 1945. The “Edisons” were passionate enthusiasts, making extraordinary efforts and doing more than their jobs, and they could also be contributing from outside the innovative organisations. At times people
Researchers have asked for practical examples of collaborative supply chain initiatives like VMI and how they are designed. Especially cases in other industrial settings than retail are rare. One important question to answer is how well these initiatives are working in other settings and how they could be designed to improve supply chain efficiency. The objective of this paper is to give a descrip
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