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Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach : Volume 2 Multivariate Statistical Modeling - Hardcover
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Book by Arjun K GuptaH BozdoganS L Sclove
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Often a statistical analysis involves use of a set of alternative models for the data. A "model-selection criterion" is a formula which provides a figure-of merit for the alternative models. Generally the alternative models will involve different numhers of parameters. Model-selection criteria take into account hoth the goodness-or-fit of a model and the numher of parameters used to achieve that fit. 1.1. SETS OF ALTERNATIVE MODELS Thus the focus in this paper is on data-analytic situations ill which there is consideration of a set of alternative models. Choice of a suhset of explanatory variahles in regression, the degree of a polynomial regression, the number of factors in factor analysis, or the numher of dusters in duster analysis are examples of such situations. 1.2. MODEL SELECTION VERSUS HYPOTHESIS TESTING In exploratory data analysis or in a preliminary phase of inference an approach hased on model-selection criteria can offer advantages over tests of hypotheses. The model-selection approach avoids the prohlem of specifying error rates for the tests. With model selection the focus can he on simultaneous competition between a hroad dass of competing models rather than on consideration of a sequence of simpler and simpler models.
Reseña del editor:
These three volumes comprise the proceedings of the US/Japan Conference, held in honour of Professor H. Akaike, on the `Frontiers of Statistical Modeling: an Informational Approach'. The major theme of the conference was the implementation of statistical modeling through an informational approach to complex, real-world problems.
Volume 1 contains papers which deal with the Theory and Methodology of Time Series Analysis. Volume 1 also contains the text of the Banquet talk by E. Parzen and the keynote lecture of H. Akaike. V olume 2 is devoted to the general topic of Multivariate Statistical Modeling, and Volume 3 contains the papers relating to Engineering and Scientific Applications.
For all scientists whose work involves statistics.
Volume 1 contains papers which deal with the Theory and Methodology of Time Series Analysis. Volume 1 also contains the text of the Banquet talk by E. Parzen and the keynote lecture of H. Akaike. V olume 2 is devoted to the general topic of Multivariate Statistical Modeling, and Volume 3 contains the papers relating to Engineering and Scientific Applications.
For all scientists whose work involves statistics.
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- VerlagSpringer
- Erscheinungsdatum1993
- ISBN 10 0792325982
- ISBN 13 9780792325987
- EinbandTapa dura
- Anzahl der Seiten436
- HerausgeberBozdogan H.
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Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach
Verlag:
Springer Netherlands
(1993)
ISBN 10: 0792325982
ISBN 13: 9780792325987
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Buchbeschreibung Gebunden. Zustand: New. Artikel-Nr. 5966969
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Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach : Volume 2 Multivariate Statistical Modeling
Verlag:
Springer Netherlands
(1993)
ISBN 10: 0792325982
ISBN 13: 9780792325987
Neu
Hardcover
Anzahl: 1
Anbieter:
Bewertung
Buchbeschreibung Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Often a statistical analysis involves use of a set of alternative models for the data. A 'model-selection criterion' is a formula which provides a figure-of merit for the alternative models. Generally the alternative models will involve different numhers of parameters. Model-selection criteria take into account hoth the goodness-or-fit of a model and the numher of parameters used to achieve that fit. 1.1. SETS OF ALTERNATIVE MODELS Thus the focus in this paper is on data-analytic situations ill which there is consideration of a set of alternative models. Choice of a suhset of explanatory variahles in regression, the degree of a polynomial regression, the number of factors in factor analysis, or the numher of dusters in duster analysis are examples of such situations. 1.2. MODEL SELECTION VERSUS HYPOTHESIS TESTING In exploratory data analysis or in a preliminary phase of inference an approach hased on model-selection criteria can offer advantages over tests of hypotheses. The model-selection approach avoids the prohlem of specifying error rates for the tests. With model selection the focus can he on simultaneous competition between a hroad dass of competing models rather than on consideration of a sequence of simpler and simpler models. Artikel-Nr. 9780792325987
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