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Commentary on “From unidimensional to multidimensional inequality: a review”
Springer Science and Business Media LLC - Tập 78 - Trang 55-59 - 2020
John A. Weymark
This note is a commentary on F. Andreoli and C. Zoli, “From unidimensional to multidimensional inequality: a review”, Metron, this issue.
Foreword to the special issue on “Survey Methods for Statistical Data Integration and New Data Sources: tools and real data applications for official statistics”
Springer Science and Business Media LLC -
Maria Giovanna Ranalli, Jean‐François Beaumont, Gaia Bertarelli, Natalie Shlomo
Dealing sensitive characters on successive occasions through a general class of estimators using scrambled response techniques
Springer Science and Business Media LLC - Tập 76 - Trang 203-230 - 2017
Kumari Priyanka, Pidugu Trisandhya, Richa Mittal
Present article endeavours to propose a general class of estimators to estimate population mean of a sensitive character using non-sensitive auxiliary information under five different scrambled response models in two occasions successive sampling. Various well-known estimators have been modified for the estimation of sensitive population mean and hence they also become a member of proposed general...... hiện toàn bộ
Marshall-Olkin generalized exponential distribution
Springer Science and Business Media LLC - - 2015
Miroslav M. Ristić, Debasis Kundu
Multiply robust imputation procedures for zero-inflated distributions in surveys
Springer Science and Business Media LLC - Tập 75 - Trang 333-343 - 2017
Sixia Chen, David Haziza
Item nonresponse in surveys is usually treated by some form of single imputation. In practice, the survey variable subject to missing values may exhibit a large number of zero-valued observations. In this paper, we propose multiply robust imputation procedures for treating this type of variable. Our procedures may be based on multiple imputation models and/or multiple nonresponse models. An imputa...... hiện toàn bộ
Likelihood, credible and confidence intervals for parameters in complex models
Springer Science and Business Media LLC - - 2018
Murray Aitkin
Recent papers have discussed general procedures with complex models to obtain confidence interval statements for a parameter of interest in the presence of nuisance parameters. This paper discusses the role of the likelihood in these procedures, and points out the simplicity of the Bayesian credible interval approach to the same models.
A hundred years of Metron
Springer Science and Business Media LLC - Tập 78 - Trang 1-3 - 2020
Marco Alfó
Noise fuzzy clustering of time series by autoregressive metric
Springer Science and Business Media LLC - Tập 71 - Trang 217-243 - 2013
Pierpaolo D’Urso, Livia De Giovanni, Riccardo Massari, Dario Di Lallo
We propose a robust fuzzy clustering model for classifying time series, considering the autoregressive metric based. In particular, we suggest a clustering procedure which: 1) considers an autoregressive parameterization of the time series, capable of representing a large class of time series; 2) inherits the benefits of the partitioning around medoids approach, classifying time series in classes ...... hiện toàn bộ
Stochastic dominance relations for generalised parametric distributions obtained through composition
Springer Science and Business Media LLC - Tập 78 - Trang 297-311 - 2020
Tommaso Lando, Lucio Bertoli-Barsotti
Investigating stochastic dominance within flexible multi-parametric families of distributions is often complicated, owing to the high number of parameters or non-closed functional forms. To simplify the problem, we use the T–X method, making it possible to obtain generalised models through the composition of cumulative distributions and quantile functions. We derive conditions for the second-order...... hiện toàn bộ
A new method for generating families of continuous distributions
Springer Science and Business Media LLC - Tập 71 Số 1 - Trang 63-79 - 2013
Alzaatreh, Ayman, Lee, Carl, Famoye, Felix
In this paper, a new method is proposed for generating families of continuous distributions. A random variable $$X$$ , “the transformer”, is used to transform another random variable $$T$$ , “the transformed”. The resulting family, the $$T$$ - $$X$$ family of distributions, has a connection with the hazard functions and each generated distribution is considered as a weighted hazard function of the...... hiện toàn bộ
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