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What is Estimation Techniques in Statistics about?
The document discusses various estimation techniques for constants and random variables, focusing on l2, l1, and l∞ minimization problems to derive estimators such as the mean, median, and conditional estimates. It introduces the concepts of minimum mean squared error (MMSE) and linear MMSE (LMMSE) estimators, along with their properties and derivations. Additionally, it covers the discrete Kalman filter equations for linear dynamical systems, detailing the information and time update processes.
- Author
- rishidas769
- Language
- EN