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Can I read Optimizing Methods in Statistics : Proceedings of a Symposium Held at the Center for Tomorrow, the Ohio State University, June 14-16, 1971 on EtoBox?
Optimizing Methods in Statistics : Proceedings of a Symposium Held at the Center for Tomorrow, the Ohio State University, June 14-16, 1971 by Jagdish S. Rustagi is a nonfiction available to read on EtoBox.
What is Optimizing Methods in Statistics : Proceedings of a Symposium Held at the Center for Tomorrow, the Ohio State University, June 14-16, 1971 about?
Optimizing Method in Statistics is a compendium of papers dealing with variational methods, regression analysis, mathematical programming, optimum seeking methods, stochastic control, optimum design of experiments, optimum spacings, and order statistics. One paper reviews three optimization problems encountered in parameter estimation, namely, 1) iterative procedures for maximum likelihood estimation, based on complete or censored samples, of the parameters of various populations; 2) optimum spacings of quantiles for linear estimation; and 3) optimum choice of order statistics for linear estimation. Another paper notes the possibility of posing various adaptive filter algorithms to make the filter learn the system model while the system is operating in real time. By reducing the time necessary for process modeling, the time required to implement the acceptable system design can also be reduced One paper evaluates the parallel structure between duality relationships for the linear functional version of the generalized Neyman-Pearson problem, as well as the duality relationships of linear programming as these apply to bounded-variable linear programming problems. The compendium can p
Who reads Optimizing Methods in Statistics : Proceedings of a Symposium Held at the Center for Tomorrow, the Ohio State University, June 14-16, 1971?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Jagdish S. Rustagi
- Publisher
- Elsevier Inc, Academic Press Inc
- Published
- 1971
- Language
- EN
- ISBN
- 9781483260341
- Category
- nonfiction
- Subjects
- Mathematics, Science, Stem
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