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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 1 - 10 of 427
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Combinations of High Order Gaussian Kernel Estimator with Simulation Historical of Value at Risk (VaR) Return Portfolio Measurement
2014
Financial experts assume that measures the risk of financial asset returns generally have a normal distribution. Reality often shows asset returns are not normally distributed, so that the constraints and make it difficult to estimate the risk of taking the measurements. For it is necessary to...
Persistent link: https://www.econbiz.de/10013056260
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Nonparametric Phase-II monitoring for detecting monotone trend based on inverse sampling
Mukherjee, Amitava - In: Statistical methods & applications : journal of the … 22 (2013) 2, pp. 131-153
Persistent link: https://www.econbiz.de/10010139439
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Inference on the parameters of two Weibull distributions based on record values
Zakerzadeh, H.; Jafari, A. - In: Statistical Methods and Applications 24 (2015) 1, pp. 25-40
The Weibull distribution is a very applicable model for the lifetime data. Therefore, comparing the parameters of two Weibull distributions is very important. However, there is not an appropriate method for comparing the shape or scale parameters in the literatures based on record values. In...
Persistent link: https://www.econbiz.de/10011241330
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Sample size determination for the confidence interval of mean comparison adjusted by multiple covariates
Liu, Xiaofeng Steven - In: Statistical methods & applications : journal of the … 22 (2013) 2, pp. 155-166
Persistent link: https://www.econbiz.de/10010139440
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Exploring copulas for the imputation of complex dependent data
Lascio, F. Di; Giannerini, Simone; Reale, Alessandra - In: Statistical Methods and Applications 24 (2015) 1, pp. 159-175
<Para ID="Par1">In this work we introduce a copula-based method for imputing missing data by using conditional density functions of the missing variables given the observed ones. In theory, such functions can be derived from the multivariate distribution of the variables of interest. In practice, it is very...</para>
Persistent link: https://www.econbiz.de/10011241331
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Quantile based stop-loss transform and its applications
Nair, N. Unnikrishnan; Sankaran, P. G.; Sunoj, S. M. - In: Statistical methods & applications : journal of the … 22 (2013) 2, pp. 167-182
Persistent link: https://www.econbiz.de/10010139441
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Multilevel dimensionality-reduction methods
Lovaglio, Pietro Giorgio; Vittadini, Giorgio - In: Statistical methods & applications : journal of the … 22 (2013) 2, pp. 183-207
Persistent link: https://www.econbiz.de/10010139442
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Saddlepoint expansions for GEL estimators
Kundhi, Gubhinder; Rilstone, Paul - In: Statistical Methods and Applications 24 (2015) 1, pp. 1-24
A simple saddlepoint (SP) approximation for the distribution of generalized empirical likelihood (GEL) estimators is derived. Simulations compare the performance of the SP and other methods such as the Edgeworth and the bootstrap for special cases of GEL: continuous updating, empirical...
Persistent link: https://www.econbiz.de/10011241332
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An empirical likelihood ratio based goodness-of-fit test for skew normality
Ning, Wei; Ngunkeng, Grace - In: Statistical methods & applications : journal of the … 22 (2013) 2, pp. 209-226
Persistent link: https://www.econbiz.de/10010139443
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A first step to implement Gillespie’s algorithm with rejection sampling
Duan, Qihong; Liu, Junrong - In: Statistical Methods and Applications 24 (2015) 1, pp. 85-95
<Para ID="Par1">It is well known that firings of a well-stirred chemically reacting system can be described by a continuous-time Markov chain. The currently-used exact implementations of Gillespie’s algorithm simulate every reaction event individually and thus the computational cost is inevitably high. In...</para>
Persistent link: https://www.econbiz.de/10011241333
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