Ditemukan 7 dokumen yang sesuai dengan query
Thompson, James R., author
Topics emphasized include nonparametric density estimation as an exploratory device plus the deeper models to which the exploratory analysis points, multi-dimensional data analysis, and analysis of remote sensing data, cancer progression, chaos theory, epidemiological modeling, and parallel based algorithms. New methods discussed are quick nonparametric density estimation based techniques for...
Philadelphia : Society for Industrial and Applied Mathematics, 1990
e20442929
eBooks Universitas Indonesia Library
Keating, Jerome P., author
Pitman's Measure of Closeness (PMC) is simply an idea whose time has come. Certainly there are many different ways to estimate unknown parameters, but which method should you use? Posed as an alternative to the concept of mean-squared-error, PMC is based on the probabilities of the closeness of competing estimators...
Philadelphia: Society for Industrial and Applied Mathematics, 1993
e20448599
eBooks Universitas Indonesia Library
Speyer, Jason Lee, author
Uncertainty and risk are integral to engineering because real systems have inherent ambiguities that arise naturally or due to our inability to model complex physics. The authors discuss probability theory, stochastic processes, estimation, and stochastic control strategies and show how probability can be used to model uncertainty in control and...
Philadelphia: Society for Industrial and Applied Mathematics, 2008
e20450871
eBooks Universitas Indonesia Library
Philadelphia : Society for Industrial and Applied Mathematics, 1992
e20442855
eBooks Universitas Indonesia Library
Efron, Bradley, author
The jackknife and the bootstrap are nonparametric methods for assessing the errors in a statistical estimation problem. They provide several advantages over the traditional parametric approach: the methods are easy to describe and they apply to arbitrarily complicated situations; distribution assumptions, such as normality, are never made.
This monograph connects...
Philadelphia: Society for Industrial and Applied Mathematics, 1994
e20443362
eBooks Universitas Indonesia Library
Hassibi, Babak, author
This monograph presents a unified mathematical framework for a wide range of problems in estimation and control. The authors discuss the two most commonly used methodologies: the stochastic H2 approach and the deterministic (worst-case) H� approach. Despite the fundamental differences in the philosophies of these two approaches, the authors have...
Philadelphia : Society for Industrial and Applied Mathematics, 1999
e20442846
eBooks Universitas Indonesia Library
O`Gorman, Thomas W., author
Adaptive statistical tests, developed over the last 30 years, are often more powerful than traditional tests of significance, but have not been widely used. To date, discussions of adaptive statistical methods have been scattered across the literature and generally do not include the computer programs necessary to make these adaptive...
Philadelphia : Society for Industrial and Applied Mathematics, 2004
e20443005
eBooks Universitas Indonesia Library
