Stochastic Processes:
Existing works on stochastic processes belong to a field of abstract mathematics which puts them beyond the scope of the non-specialist. The preoccupations of research mathematicians being more often than not distant from the practical problems of experimental methodology, the needs of practical wor...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
1966
|
| Ausgabe: | 1st ed. 1966 |
| Schriftenreihe: | Ökonometrie und Unternehmensforschung Econometrics and Operations Research
3 |
| Schlagworte: | |
| Online-Zugang: | BTU01 Volltext |
| Zusammenfassung: | Existing works on stochastic processes belong to a field of abstract mathematics which puts them beyond the scope of the non-specialist. The preoccupations of research mathematicians being more often than not distant from the practical problems of experimental methodology, the needs of practical workers, though real, are not met by the majority of works that. deal with processes. By "practical workers", we mean research scientists in all the different disciplines: Physics, Chemistry, Biology, Medicine, Population, Economics, Organisation, Operational Research etc. Indeed, all scientific research today touches upon complex fields in which deterministic models can be useful for no more than an element ary and simple approximation. The Calculus of Probability although offering some interesting models is still inadequate in many instances, particularly in the study of evolving systems. The practical worker must therefore have at his disposal a set of original and varied stochastic models. These models must not be too general, for in that case not only would their theoretical study prove difficult, but above all the adaptation of such models to an observed system would lead to an estimation of a great number of parameters on the basis of a necessarily restricted sample. This would constitute an insuperable difficulty for the practical scientist. It is therefore essential for him to have at his disposal a varied range of very characteristic models |
| Beschreibung: | 1 Online-Ressource (XII, 126 p. 5 illus) |
| ISBN: | 9783642882692 |
| DOI: | 10.1007/978-3-642-88269-2 |
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| 520 | |a Existing works on stochastic processes belong to a field of abstract mathematics which puts them beyond the scope of the non-specialist. The preoccupations of research mathematicians being more often than not distant from the practical problems of experimental methodology, the needs of practical workers, though real, are not met by the majority of works that. deal with processes. By "practical workers", we mean research scientists in all the different disciplines: Physics, Chemistry, Biology, Medicine, Population, Economics, Organisation, Operational Research etc. Indeed, all scientific research today touches upon complex fields in which deterministic models can be useful for no more than an element ary and simple approximation. The Calculus of Probability although offering some interesting models is still inadequate in many instances, particularly in the study of evolving systems. The practical worker must therefore have at his disposal a set of original and varied stochastic models. These models must not be too general, for in that case not only would their theoretical study prove difficult, but above all the adaptation of such models to an observed system would lead to an estimation of a great number of parameters on the basis of a necessarily restricted sample. This would constitute an insuperable difficulty for the practical scientist. It is therefore essential for him to have at his disposal a varied range of very characteristic models | ||
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Datensatz im Suchindex
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| dewey-full | 330.015195 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 330 - Economics |
| dewey-raw | 330.015195 |
| dewey-search | 330.015195 |
| dewey-sort | 3330.015195 |
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| discipline | Wirtschaftswissenschaften |
| discipline_str_mv | Wirtschaftswissenschaften |
| doi_str_mv | 10.1007/978-3-642-88269-2 |
| edition | 1st ed. 1966 |
| format | Electronic eBook |
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| id | DE-604.BV046872240 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T15:15:37Z |
| indexdate | 2024-07-10T08:56:09Z |
| institution | BVB |
| isbn | 9783642882692 |
| language | English |
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| physical | 1 Online-Ressource (XII, 126 p. 5 illus) |
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| publishDate | 1966 |
| publishDateSearch | 1966 |
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| publisher | Springer Berlin Heidelberg |
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| series2 | Ökonometrie und Unternehmensforschung Econometrics and Operations Research |
| spelling | Girault, M. Verfasser aut Stochastic Processes by M. Girault 1st ed. 1966 Berlin, Heidelberg Springer Berlin Heidelberg 1966 1 Online-Ressource (XII, 126 p. 5 illus) txt rdacontent c rdamedia cr rdacarrier Ökonometrie und Unternehmensforschung Econometrics and Operations Research 3 Existing works on stochastic processes belong to a field of abstract mathematics which puts them beyond the scope of the non-specialist. The preoccupations of research mathematicians being more often than not distant from the practical problems of experimental methodology, the needs of practical workers, though real, are not met by the majority of works that. deal with processes. By "practical workers", we mean research scientists in all the different disciplines: Physics, Chemistry, Biology, Medicine, Population, Economics, Organisation, Operational Research etc. Indeed, all scientific research today touches upon complex fields in which deterministic models can be useful for no more than an element ary and simple approximation. The Calculus of Probability although offering some interesting models is still inadequate in many instances, particularly in the study of evolving systems. The practical worker must therefore have at his disposal a set of original and varied stochastic models. These models must not be too general, for in that case not only would their theoretical study prove difficult, but above all the adaptation of such models to an observed system would lead to an estimation of a great number of parameters on the basis of a necessarily restricted sample. This would constitute an insuperable difficulty for the practical scientist. It is therefore essential for him to have at his disposal a varied range of very characteristic models Econometrics Probability Theory and Stochastic Processes Probabilities Erscheint auch als Druck-Ausgabe 9783642882715 Erscheint auch als Druck-Ausgabe 9783540036296 Erscheint auch als Druck-Ausgabe 9783642882708 https://doi.org/10.1007/978-3-642-88269-2 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Girault, M. Stochastic Processes Econometrics Probability Theory and Stochastic Processes Probabilities |
| title | Stochastic Processes |
| title_auth | Stochastic Processes |
| title_exact_search | Stochastic Processes |
| title_exact_search_txtP | Stochastic Processes |
| title_full | Stochastic Processes by M. Girault |
| title_fullStr | Stochastic Processes by M. Girault |
| title_full_unstemmed | Stochastic Processes by M. Girault |
| title_short | Stochastic Processes |
| title_sort | stochastic processes |
| topic | Econometrics Probability Theory and Stochastic Processes Probabilities |
| topic_facet | Econometrics Probability Theory and Stochastic Processes Probabilities |
| url | https://doi.org/10.1007/978-3-642-88269-2 |
| work_keys_str_mv | AT giraultm stochasticprocesses |