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Year of publication
Subject
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Theorie 36 Theory 36 Estimation theory 15 Monte Carlo simulation 15 Schätztheorie 15 Monte-Carlo-Simulation 11 Regression analysis 11 Regressionsanalyse 11 Italien 10 Italy 10 Statistical test 10 Statistischer Test 10 Time series analysis 10 Bayesian inference 9 Zeitreihenanalyse 9 Estimation 8 Fertility 8 Maximum likelihood estimation 8 Nichtparametrisches Verfahren 8 Nonparametric statistics 8 Schätzung 8 Skewness 7 Markov chain 6 Maximum-Likelihood-Schätzung 6 Statistical distribution 6 Statistische Verteilung 6 Stochastic process 6 Stochastischer Prozess 6 Bayes-Statistik 5 Bootstrap approach 5 Bootstrap-Verfahren 5 Fertilität 5 Income distribution 5 Kurtosis 5 Markov-Kette 5 Bootstrap 4 Cluster analysis 4 Cointegration 4 EM algorithm 4 Efficiency 4
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Online availability
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Undetermined 335 Free 1
Type of publication
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Article 426 Book / Working Paper 1
Type of publication (narrower categories)
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Article in journal 75 Aufsatz in Zeitschrift 75 Case study 2 Fallstudie 2
Language
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Undetermined 351 English 76
Author
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Nadarajah, Saralees 7 Battaglia, Francesco 5 Guseo, Renato 5 Ortega, Edwin 5 Barabesi, Lucio 4 Boutahar, Mohamed 4 Gerolimetto, Margherita 4 Giudici, Paolo 4 Paruolo, Paolo 4 Pratesi, Monica 4 Salvati, Nicola 4 Zenga, Michele 4 Bandyopadhyay, Uttam 3 Bassi, Francesca 3 Biggeri, Annibale 3 Bonnini, Stefano 3 Borgoni, Riccardo 3 Cavaliere, Giuseppe 3 Domma, Filippo 3 Figini, Silvia 3 Ganugi, P. 3 Grillenzoni, Carlo 3 Gupta, A. 3 Kohl, Matthias 3 Lisi, Francesco 3 Louzada-Neto, Francisco 3 Mattei, Alessandra 3 Montanari, Giorgio 3 Oja, Hannu 3 Ortega, Edwin M. M. 3 Pal, Nabendu 3 Rieder, Helmut 3 Ruckdeschel, Peter 3 Sbrana, Giacomo 3 Scricciolo, Catia 3 Vichi, Maurizio 3 Vitale, Cosimo 3 Aassve, Arnstein 2 Abebe, Asheber 2 Admiraal, Ryan 2
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Published in...
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Statistical Methods and Applications 335 Statistical methods & applications : SMA ; journal of the Italian Statistical Society 75 Statistical methods & applications : journal of the Italian Statistical Society 16 Statistical Methods and Applications, Forthcoming 1
Source
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RePEc 335 ECONIS (ZBW) 76 OLC EcoSci 16
Showing 91 - 100 of 427
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Comments on: model-based clustering and classification with non-normal mixture distributions
García-Escudero, L.; Gordaliza, A.; Mayo-Iscar, A. - In: Statistical Methods and Applications 22 (2013) 4, pp. 459-461
Persistent link: https://www.econbiz.de/10010998692
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Discussion of “Model-based clustering with non-normal mixture distributions” by S. X. Lee and G. J. McLachlan
Hennig, Christian - In: Statistical Methods and Applications 22 (2013) 4, pp. 455-458
Persistent link: https://www.econbiz.de/10010998697
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Discussion of ‘Model-based clustering and classification with non-normal mixture distributions’ by Lee and McLachlan
McNicholas, Paul; Browne, Ryan; Murray, Paula - In: Statistical Methods and Applications 22 (2013) 4, pp. 467-472
Persistent link: https://www.econbiz.de/10010848084
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Special issue on inferential strategies for environmental surveys
Barabesi, Lucio; Fattorini, Lorenzo - In: Statistical Methods and Applications 22 (2013) 1, pp. 1-2
Persistent link: https://www.econbiz.de/10010634354
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A comment on “An analysis of global warming in the Alpine Region based on nonlinear nonstationary time series models” by F. Battaglia and M. K. Protopapas
Giordano, Francesco; Perna, Cira; Vitale, Cosimo - In: Statistical Methods and Applications 21 (2012) 3, pp. 355-361
We discuss the paper by Battaglia and Protopapas concerning the analysis of global warming phenomenon in the Alpine Region. The Authors consider a nonlinear model which takes into account regimes in time and levels. In this contribution some of the statistical results presented in the paper are...
Persistent link: https://www.econbiz.de/10010998661
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Asymptotic distribution of martingale estimators for a class of epidemic models
Fierro, Raúl - In: Statistical Methods and Applications 21 (2012) 2, pp. 169-191
Persistent link: https://www.econbiz.de/10010998668
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Student-t censored regression model: properties and inference
Arellano-Valle, Reinaldo; Castro, Luis; … - In: Statistical Methods and Applications 21 (2012) 4, pp. 453-473
In statistical analysis, particularly in econometrics, it is usual to consider regression models where the dependent variable is censored (limited). In particular, a censoring scheme to the left of zero is considered here. In this article, an extension of the classical normal censored model is...
Persistent link: https://www.econbiz.de/10010998678
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A Sarmanov family with beta and gamma marginal distributions: an application to the Bayes premium in a collective risk model
Hernández-Bastida, Agustín; Fernández-Sánchez, M. - In: Statistical Methods and Applications 21 (2012) 4, pp. 391-409
In this paper we firstly develop a Sarmanov–Lee bivariate family of distributions with the beta and gamma as marginal distributions. We obtain the linear correlation coefficient showing that, although it is not a strong family of correlation, it can be greater than the value of this...
Persistent link: https://www.econbiz.de/10010998680
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Discussion of ‘An analysis of global warming in the Alpine region based on nonlinear nonstationary time series models’ by Battaglia and Protopapas
Böhm, Reinhard - In: Statistical Methods and Applications 21 (2012) 3, pp. 347-353
This discussion does not go into specific statistical details. It expresses the impressions of a climatologist when reading a paper about statistical methodologies applied on climate timeseries. Thus the main goal of the discussion is a typical interdisciplinary one. Some of the statistical...
Persistent link: https://www.econbiz.de/10010998686
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Discussion of “An analysis of global warming in the Alpine region based on nonlinear nonstationary time series models” by F. Battaglia and M. K. Protopapas
Mudelsee, M. - In: Statistical Methods and Applications 21 (2012) 3, pp. 341-346
The paper by Battaglia and Protopapas (Stat Method Appl 2012) is stimulating. It gives an elegant mathematical generalization of autoregressive models (the nine types). It explains state-of-the-art model fitting techniques (genetic algorithm combined with fitness function and least squares). It...
Persistent link: https://www.econbiz.de/10010998691
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