Developing Econometrics
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Form:Einzelkauf Download
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Sprache:Englisch
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eBook Format:PDF
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inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
Kopierschutz
Ja
Family Sharing
Nein
Text-to-Speech
Nein
Erscheinungsdatum
13.10.2011
Verlag
For DummiesSeitenzahl
488 (Printausgabe)
Dateigröße
30085 KB
Auflage
1. Auflage
Sprache
Englisch
EAN
9781119954248
Statistical Theories and Methods with Applications to Economics
and Business highlights recent advances in statistical theory
and methods that benefit econometric practice. It deals with
exploratory data analysis, a prerequisite to statistical modelling
and part of data mining. It provides recently developed
computational tools useful for data mining, analysing the reasons
to do data mining and the best techniques to use in a given
situation.
* Provides a detailed description of computer algorithms.
* Provides recently developed computational tools useful for data
mining
* Highlights recent advances in statistical theory and methods
that benefit econometric practice.
* Features examples with real life data.
* Accompanying software featuring DASC (Data Analysis and
Statistical Computing).
Essential reading for practitioners in any area of econometrics;
business analysts involved in economics and management; and
Graduate students and researchers in economics and statistics.
and Business highlights recent advances in statistical theory
and methods that benefit econometric practice. It deals with
exploratory data analysis, a prerequisite to statistical modelling
and part of data mining. It provides recently developed
computational tools useful for data mining, analysing the reasons
to do data mining and the best techniques to use in a given
situation.
* Provides a detailed description of computer algorithms.
* Provides recently developed computational tools useful for data
mining
* Highlights recent advances in statistical theory and methods
that benefit econometric practice.
* Features examples with real life data.
* Accompanying software featuring DASC (Data Analysis and
Statistical Computing).
Essential reading for practitioners in any area of econometrics;
business analysts involved in economics and management; and
Graduate students and researchers in economics and statistics.
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