The Analysis of Stochastic Processes using GLIM:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer New York
1992
|
| Schriftenreihe: | Lecture Notes in Statistics
72 |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | The aim of this book is to present a survey of the many ways in which the statistical package GLIM may be used to model and analyze stochastic processes. Its emphasis is on using GLIM interactively to apply statistical techniques, and examples are drawn from a wide range of applications including medicine, biology, and the social sciences. It is based on the author's many years of teaching courses along these lines to both undergraduate and graduate students. The author assumes that readers have a reasonably strong background in statistics such as might be gained from undergraduate courses and that they are also familiar with the basic workings of GLIM. Topics covered include: the analysis of survival data, regression and fitting distributions, time series analysis (including both the time and frequency domains), repeated measurements, and generalized linear models |
| Beschreibung: | 1 Online-Ressource (VI, 294p) |
| ISBN: | 9781461228882 9780387977614 |
| ISSN: | 0930-0325 |
| DOI: | 10.1007/978-1-4612-2888-2 |
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Datensatz im Suchindex
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| id | DE-604.BV042420085 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:21:06Z |
| institution | BVB |
| isbn | 9781461228882 9780387977614 |
| issn | 0930-0325 |
| language | English |
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| spelling | Lindsey, James K. Verfasser aut The Analysis of Stochastic Processes using GLIM by James K. Lindsey New York, NY Springer New York 1992 1 Online-Ressource (VI, 294p) txt rdacontent c rdamedia cr rdacarrier Lecture Notes in Statistics 72 0930-0325 The aim of this book is to present a survey of the many ways in which the statistical package GLIM may be used to model and analyze stochastic processes. Its emphasis is on using GLIM interactively to apply statistical techniques, and examples are drawn from a wide range of applications including medicine, biology, and the social sciences. It is based on the author's many years of teaching courses along these lines to both undergraduate and graduate students. The author assumes that readers have a reasonably strong background in statistics such as might be gained from undergraduate courses and that they are also familiar with the basic workings of GLIM. Topics covered include: the analysis of survival data, regression and fitting distributions, time series analysis (including both the time and frequency domains), repeated measurements, and generalized linear models Statistics Statistics, general Statistik Stochastischer Prozess (DE-588)4057630-9 gnd rswk-swf GLIM (DE-588)4021281-6 gnd rswk-swf Stochastischer Prozess (DE-588)4057630-9 s GLIM (DE-588)4021281-6 s 1\p DE-604 https://doi.org/10.1007/978-1-4612-2888-2 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Lindsey, James K. The Analysis of Stochastic Processes using GLIM Statistics Statistics, general Statistik Stochastischer Prozess (DE-588)4057630-9 gnd GLIM (DE-588)4021281-6 gnd |
| subject_GND | (DE-588)4057630-9 (DE-588)4021281-6 |
| title | The Analysis of Stochastic Processes using GLIM |
| title_auth | The Analysis of Stochastic Processes using GLIM |
| title_exact_search | The Analysis of Stochastic Processes using GLIM |
| title_full | The Analysis of Stochastic Processes using GLIM by James K. Lindsey |
| title_fullStr | The Analysis of Stochastic Processes using GLIM by James K. Lindsey |
| title_full_unstemmed | The Analysis of Stochastic Processes using GLIM by James K. Lindsey |
| title_short | The Analysis of Stochastic Processes using GLIM |
| title_sort | the analysis of stochastic processes using glim |
| topic | Statistics Statistics, general Statistik Stochastischer Prozess (DE-588)4057630-9 gnd GLIM (DE-588)4021281-6 gnd |
| topic_facet | Statistics Statistics, general Statistik Stochastischer Prozess GLIM |
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