This book on parameter estimation addresses problems arising for comprehensive models of complex systems in various areas of application under data constraints. Paramater estimation is a branch of statistics that is used to estimate statistical results using data collected under set parameters with a random compenent. Here the authors present models demonstrating particular problems, proposed solutions and applications to illustrate addressing these problems.
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