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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 51 - 60 of 427
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On the parameters of Zenga distribution
Arcagni, Alberto; Porro, Francesco - In: Statistical Methods and Applications 22 (2013) 3, pp. 285-303
In 2010 Zenga introduced a new three-parameter model for distributions by size that can be used to represent income, wealth, financial and actuarial variables. This paper proposes a summary of its main properties, followed by a focus on the interpretation of the parameters in terms of...
Persistent link: https://www.econbiz.de/10010998663
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A genealogy of Florence Nightingale, Charles Darwin, Francis Galton and Francis Ysidro Edgeworth with special reference to their Italian connections and an annexe on Beatrice Webb and Charles Booth
Farebrother, Richard - In: Statistical Methods and Applications 22 (2013) 3, pp. 391-402
In this article we show that several leading natural scientists, statisticians and social scientists born between 1730 and 1930 are closely related by marriage, thereby forming what Annan (Studies in social history: a tribute to C. M. Trevelyan, Longmans, Green, London, pp 241–287, <CitationRef CitationID="CR1">1955</CitationRef>) has...</citationref>
Persistent link: https://www.econbiz.de/10010998665
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Estimating common standard deviation of two normal populations with ordered means
Tripathy, Manas; Kumar, Somesh; Pal, Nabendu - In: Statistical Methods and Applications 22 (2013) 3, pp. 305-318
Independent random samples are taken from two normal populations with means <InlineEquation ID="IEq1"> <EquationSource Format="TEX">$$\mu _1$$</EquationSource> </InlineEquation> and <InlineEquation ID="IEq2"> <EquationSource Format="TEX">$$\mu _2$$</EquationSource> </InlineEquation> and a common unknown variance <InlineEquation ID="IEq3"> <EquationSource Format="TEX">$$\sigma ^2.$$</EquationSource> </InlineEquation> It is known that <InlineEquation ID="IEq4"> <EquationSource Format="TEX">$$\mu _1\le \mu _2.$$</EquationSource> </InlineEquation> In this paper, estimation of the common standard deviation <InlineEquation ID="IEq5"> <EquationSource Format="TEX">$$\sigma $$</EquationSource> </InlineEquation> is considered with respect to...</equationsource></inlineequation></equationsource></inlineequation></equationsource></inlineequation></equationsource></inlineequation></equationsource></inlineequation>
Persistent link: https://www.econbiz.de/10010998670
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Nonparametric Phase-II monitoring for detecting monotone trend based on inverse sampling
Mukherjee, Amitava - In: Statistical Methods and Applications 22 (2013) 2, pp. 131-153
Recently, Mukherjee and Bandyopadhyay (J Stat Plan Inference, <CitationRef CitationID="CR28">2011</CitationRef>, doi:<ExternalRef> <RefSource>10.1016/j.jspi.2011.02.017</RefSource> <RefTarget Address="10.1016/j.jspi.2011.02.017" TargetType="DOI"/> </ExternalRef>) introduced some partially sequential tests for detecting liner trend among the incoming series of observations when a training sample is available a-priori. Their work is very useful in...</refsource></externalref></citationref>
Persistent link: https://www.econbiz.de/10010998674
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Estimating health expectancy in presence of missing data: an application using HID survey
Giudici, Cristina; Arezzo, Maria; Brouard, Nicolas - In: Statistical Methods and Applications 22 (2013) 4, pp. 517-534
In this article we estimate health transition probabilities using longitudinal data collected in France for the survey on handicaps, disabilities and dependencies from 1998 to 2001. Life expectancies with and without disabilities are estimated using a Markov-based multi-state life table approach...
Persistent link: https://www.econbiz.de/10010998682
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A new mobility index for transition matrices
Ferretti, C.; Ganugi, P. - In: Statistical Methods and Applications 22 (2013) 3, pp. 403-425
In this work we construct a mobility index able to grasp the prevailing direction in the evolution of a given set of statistical units. We consider the case of dynamics ruled by a transition matrix, whose states are based on an ordered economic variable (firm size or income, among others) such...
Persistent link: https://www.econbiz.de/10010998683
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Discussing the “big n problem”
Lasinio, Giovanna Jona; Mastrantonio, Gianluca; … - In: Statistical Methods and Applications 22 (2013) 1, pp. 97-112
When a large amount of spatial data is available computational and modeling challenges arise and they are often labeled as “big n problem”. In this work we present a brief review of the literature. Then we focus on two approaches, respectively based on stochastic partial differential...
Persistent link: https://www.econbiz.de/10010998684
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The association between multidose vaccinations and death: comparing case series methods when the first exposure changes the general risk of an event
Kuhnert, Ronny; Spila-Alegiani, Stefania; Tomba, Gianpaolo - In: Statistical Methods and Applications 22 (2013) 4, pp. 573-587
Many case-control studies have shown a protective effect of vaccinations on the risk of sudden unexplained death (SUD). In this paper we compare the properties of different statistical methods in this situation, when the first vaccination appears to reduce the overall risk of an event (SUD). The...
Persistent link: https://www.econbiz.de/10010998690
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Detection of biomass change in a Norwegian mountain forest area using small footprint airborne laser scanner data
Bollandsås, Ole; Gregoire, Timothy; Næsset, Erik; … - In: Statistical Methods and Applications 22 (2013) 1, pp. 113-129
Different approaches for estimation of change in biomass between two points in time by means of airborne laser scanner data were tested. Both field and laser data were collected at two occasions on 52 sample plots in a mountain forest in southeastern Norway. In the first approach, biomass change...
Persistent link: https://www.econbiz.de/10010998693
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Multilevel dimensionality-reduction methods
Lovaglio, Pietro; Vittadini, Giorgio - In: Statistical Methods and Applications 22 (2013) 2, pp. 183-207
When data sets are multilevel (group nesting or repeated measures), different sources of variations must be identified. In the framework of unsupervised analyses, multilevel simultaneous component analysis (MSCA) has recently been proposed as the most satisfactory option for analyzing multilevel...
Persistent link: https://www.econbiz.de/10010998694
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