Originating in economics but now used in a variety of disciplines, including medicine, epidemiology and the social sciences, this book provides accessible coverage of the theoretical foundations of the Logit model as well as its applications to concrete problems. It is written not only for economists but for researchers working in disciplines where it is necessary to model qualitative random variables. J.S. Cramer has also provided data sets on which to practice Logit analysis "Optimal Estimation of Dynamic Systems explores topics that are important in the field of control where the signals received are used to estimate the state of highly sensitive processes such as the flight path of a plane, the orbit of a space vehicle, or the dynamics of a complicated machine. The authors use dynamic models from mechanical and aerospace engineering to provide immediate results of estimation concepts with a minimal reliance on mathematical skills. The book documents the development of the central concepts and methods of optimal estimation theory in a manner accessible to engineering students, applied mathematicians, and practicing engineers.It includes rigorous theoretical derivations and a significant amount of qualitative discussion and judgments, frequently in the context of solving example problems. It also presents prototype algorithms, giving detail and discussion to simulate development of efficient computer programs and intelligent use of them."--BOOK JACKET. Read more... 1. Least squares approximation -- 2. Probability concepts in least squares -- 3. Review of dynamical systems -- 4. Parameter estimation : applications -- 5. Sequential state estimation -- 6. Batch state estimation -- 7. Estimation of dynamic systems : applications -- 8. Optimal control and estimation theory