Nonparametric function estimation, modeling, and simulation
| Main Author: | Thompson, James R., author |
|---|---|
| Format: | Book Bachelors |
| Terbitan: |
Society for Industrial and Applied Mathematics
, 1990
|
| Subjects: | |
| Online Access: |
http://lib.ui.ac.id/file?file=digital/2017-3/20442929-Nonparametric function estimation, modeling, and simulation.pdf |
| ctrlnum |
20442929 |
|---|---|
| fullrecord |
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<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><title>Nonparametric function estimation, modeling, and simulation</title><creator>Thompson, James R., author</creator><type>Book:Book</type><place>Philadelphia</place><publisher>Society for Industrial and Applied Mathematics</publisher><date>1990</date><description>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 resampling and simulation based estimation techniques not requiring closed form solutions.</description><subject>Estimation theory</subject><subject>Nonparametric statistics</subject><identifier>20442929</identifier><source>http://lib.ui.ac.id/file?file=digital/2017-3/20442929-Nonparametric function estimation, modeling, and simulation.pdf</source><recordID>20442929</recordID></dc>
|
| format |
Book:Book Book Thesis:Bachelors Thesis |
| author |
Thompson, James R., author |
| title |
Nonparametric function estimation, modeling, and simulation |
| publisher |
Society for Industrial and Applied Mathematics |
| publishDate |
1990 |
| topic |
Estimation theory Nonparametric statistics |
| url |
http://lib.ui.ac.id/file?file=digital/2017-3/20442929-Nonparametric function estimation, modeling, and simulation.pdf |
| contents |
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 resampling and simulation based estimation techniques not requiring closed form solutions. |
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Universitas Indonesia |
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Perpustakaan Universitas Indonesia |
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Repository Skripsi (open) Universitas Indonesia |
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JAWA BARAT |
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17.13294 |