Nonlinear Statistical Models:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Dordrecht
Springer Netherlands
1993
|
| Schriftenreihe: | Mathematics and Its Applications
254 |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | Nonlinear statistical modelling is an area of growing importance. This monograph presents mostly new results and methods concerning the nonlinear regression model. Among the aspects which are considered are linear properties of nonlinear models, multivariate nonlinear regression, intrinsic and parameter effect curvature, algorithms for calculating the L2-estimator and both local and global approximation. In addition to this a chapter has been added on the large topic of nonlinear exponential families. The volume will be of interest to both experts in the field of nonlinear statistical modelling and to those working in the identification of models and optimization, as well as to statisticians in general |
| Beschreibung: | 1 Online-Ressource (X, 260 p) |
| ISBN: | 9789401724500 9789048142620 |
| DOI: | 10.1007/978-94-017-2450-0 |
Internformat
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Datensatz im Suchindex
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| dewey-hundreds | 500 - Natural sciences and mathematics |
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| discipline | Mathematik |
| doi_str_mv | 10.1007/978-94-017-2450-0 |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:21:15Z |
| institution | BVB |
| isbn | 9789401724500 9789048142620 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027859707 |
| oclc_num | 1165483731 |
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| physical | 1 Online-Ressource (X, 260 p) |
| psigel | ZDB-2-SMA ZDB-2-BAE ZDB-2-SMA_Archive |
| publishDate | 1993 |
| publishDateSearch | 1993 |
| publishDateSort | 1993 |
| publisher | Springer Netherlands |
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| series2 | Mathematics and Its Applications |
| spelling | Pázman, Andrej Verfasser aut Nonlinear Statistical Models by Andrej Pázman Dordrecht Springer Netherlands 1993 1 Online-Ressource (X, 260 p) txt rdacontent c rdamedia cr rdacarrier Mathematics and Its Applications 254 Nonlinear statistical modelling is an area of growing importance. This monograph presents mostly new results and methods concerning the nonlinear regression model. Among the aspects which are considered are linear properties of nonlinear models, multivariate nonlinear regression, intrinsic and parameter effect curvature, algorithms for calculating the L2-estimator and both local and global approximation. In addition to this a chapter has been added on the large topic of nonlinear exponential families. The volume will be of interest to both experts in the field of nonlinear statistical modelling and to those working in the identification of models and optimization, as well as to statisticians in general Mathematics Distribution (Probability theory) Probability Theory and Stochastic Processes Mathematik Nichtlineares Regressionsmodell (DE-588)4251078-8 gnd rswk-swf Nichtlineares Regressionsmodell (DE-588)4251078-8 s 1\p DE-604 https://doi.org/10.1007/978-94-017-2450-0 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Pázman, Andrej Nonlinear Statistical Models Mathematics Distribution (Probability theory) Probability Theory and Stochastic Processes Mathematik Nichtlineares Regressionsmodell (DE-588)4251078-8 gnd |
| subject_GND | (DE-588)4251078-8 |
| title | Nonlinear Statistical Models |
| title_auth | Nonlinear Statistical Models |
| title_exact_search | Nonlinear Statistical Models |
| title_full | Nonlinear Statistical Models by Andrej Pázman |
| title_fullStr | Nonlinear Statistical Models by Andrej Pázman |
| title_full_unstemmed | Nonlinear Statistical Models by Andrej Pázman |
| title_short | Nonlinear Statistical Models |
| title_sort | nonlinear statistical models |
| topic | Mathematics Distribution (Probability theory) Probability Theory and Stochastic Processes Mathematik Nichtlineares Regressionsmodell (DE-588)4251078-8 gnd |
| topic_facet | Mathematics Distribution (Probability theory) Probability Theory and Stochastic Processes Mathematik Nichtlineares Regressionsmodell |
| url | https://doi.org/10.1007/978-94-017-2450-0 |
| work_keys_str_mv | AT pazmanandrej nonlinearstatisticalmodels |