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Statistical Modelling: Proceedings of the 10th International Workshop on Statistical Modelling Innsbruck, Austria, 10-14 July, 1995 Gilg U.H. Seeber E
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Statistical Modelling: Proceedings of the 10th International Workshop on Statistical Modelling Innsbruck, Austria, 10-14 July, 1995 Gilg U.H. Seeber E - neues Buch

ISBN: 9780387945651

This volume presents the published proceedings of the lOth International Workshop on Statistical Modelling, to be held in Innsbruck, Austria from 10 to 14 July, 1995. This workshop marks … Mehr…

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Statistical Modelling
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ISBN: 9780387945651

This volume presents the published proceedings of the lOth International Workshop on Statistical Modelling, to be held in Innsbruck, Austria from 10 to 14 July, 1995. This workshop marks … Mehr…

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Seeber, Gilg U H (Editor), and Francis, Brian J (Editor), and Hatzinger, Reinhold (Editor):
Statistical Modelling: Proceedings of the 10th International Workshop on Statistical Modelling, Innsbruck, Austria, 10-14 July, 1995. Vol. 104 - Taschenbuch

1995

ISBN: 9780387945651

Soft cover, Gebraucht, guter Zustand, LINEAR MODELS STATISTICS MATHEMATICS 0387945652 MATH, Hardback in near fine condition., [PU: Secaucus, New Jersey, U.S.A. : Springer Verlag, 1995]

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ISBN: 9780387945651

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Editor-Gilg U.H. Seeber; Editor-Brian J. Francis; Editor-Reinhold Hatzinger; Editor-Gabriela Steckel-Berger:
Statistical Modelling: Proceedings of the 10th International Workshop on Statistical Modelling. Innsbruck, Austria, 10-14 July, 1995 (Lecture Notes in Statistics) - Taschenbuch

1995, ISBN: 9780387945651

Springer, 1995-06-29. Paperback. Good., Springer, 1995-06-29, 2.5

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Statistical Modelling: Proceedings of the 10th International Workshop on Statistical Modelling Innsbruck, Austria, 10-14 July, 1995 Gilg U.H. Seeber E

This volume presents the edited proceedings of the 10th International Workshop on Statistical Modelling held in Innsbruck, Austria from July 10 - 14, 1995. As in previous years, the aim of the conference is to provide an interchange of ideas concerned with real practical problems in statistical modelling. The scope of the meeting is much broader now, reflecting the growth of the subject of statistical modelling in the past ten years. This volume contains some forty contributed papers as well as the invited papers, covering a wide variety of application areas from epidemiology to education, and from agriculture to sociology.

Detailangaben zum Buch - Statistical Modelling: Proceedings of the 10th International Workshop on Statistical Modelling Innsbruck, Austria, 10-14 July, 1995 Gilg U.H. Seeber E


EAN (ISBN-13): 9780387945651
ISBN (ISBN-10): 0387945652
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 1995
Herausgeber: Springer New York Core >1 >T
344 Seiten
Gewicht: 0,516 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 2007-05-27T06:04:50+02:00 (Berlin)
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ISBN/EAN: 9780387945651

ISBN - alternative Schreibweisen:
0-387-94565-2, 978-0-387-94565-1
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: hatzinger, gilg, steckel, seeber, july, berger, austria innsbruck, francis, krickeberg, hatz
Titel des Buches: 10th, austria innsbruck, the statistical, proceedings international workshop statistical modelling, inn, zehn, innsbruck 1956 1981


Daten vom Verlag:

Autor/in: Gilg U.H. Seeber; Brian J. Francis; Reinhold Hatzinger; Gabriela Steckel-Berger
Titel: Lecture Notes in Statistics; Statistical Modelling - Proceedings of the 10th International Workshop on Statistical Modelling Innsbruck, Austria, 10–14 July, 1995
Verlag: Springer; Springer US
344 Seiten
Erscheinungsjahr: 1995-06-29
New York; NY; US
Sprache: Englisch
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
Available
IX, 344 p.

BC; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Branching process; Fitting; Generalized linear model; Likelihood; Markov chain; Time series; correlation; linear regression; mixing; statistics; Probability Theory; Stochastik; EA

NPML estimation of the mixing distribution in general statistical models with unobserved random effects.- Some topics in optimum experimental design for generalized linear models.- Autoregressive modelling of Markov chains.- A case-study on accuracy of cytological diagnosis.- Dynamics and correlated responses in longitudinal data models.- Bootstrap methods for generalized linear mixed models with applications to small area estimation.- Confidence intervals for threshold parameters.- Optimal design for models incorporating the Richards function.- Mixed Markov renewal models of social processes.- Statistical inference based on a general model of unobserved heterogeneity.- An extended model for paired comparisons.- Indirect observations, composite link models and penalized likelihood PAUL.- Model estimation in nonlinear regression.- Pearson statistics, goodness of fit, and overdispersion in generalised linear models.- M-estimation: Some remedies.- Subject-specific and population-averaged questions for log-linear regression data.- Radon and lung cancer mortality: An example of a Bayesian ecological analysis.- IRREML, a tool for fitting a versatile class of mixed models for ordinal data.- Towards a general robust estimation approach for generalised regression models.- Comparing local fitting to other automatic smoothers.- Iterative reweighted partial least squares estimation for GLMs.- Protective estimation of longitudinal categorical data with nonrandom dropout.- Analysis of counts generated by an age-dependent branching process.- Quantitative risk assessment for clustered binary data.- Optimal design and lack fit in nonlinear regression models.- Nonparametric regression, kriging and process optimization.- Frailty in multiplicative intensity models.- Methods for assessing the adequacy of probability prediction models.- Forecast methods in regression models for categorical time series.- Standard errors, correlations and model analysis.- Mean and dispersion additive models: Applications and diagnostics.- Computational aspects in maximum penalized likelihood estimation.- Risk estimation using a surrogate marker measured with. Error.- Estimating attributable risks under an arithmetic mixture model.- A nonparametric method for detecting neural connectivity.- On the design of accelerated life testing experiments.- Splitting criteria in survival trees.- The different parameterizations of the GEE1 and GEE2.- List of authors.

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