1,720,976 research outputs found
A class of models for multiple binary sequences under the hypothesis of markov exchangeability
Full text linkWe discuss inference for multiple binary sequences under the hypothesis of Markov exchangeability. So far, the only kind of models for this purpose have been the mixtures of Markov chains. We present a new class of hierarchicalmodels parameterized in terms of Bahadur/Lancaster’s interactions, and compare it to the mixtures of Markov chains models. © 2009, Institute of Mathematical Statistics. All rights reserved
A latent class approach for allocation of employees to local units
No full textIn 2011, the Italian Business Register has been reshaped as a database of single workers microdata. Determining the workplace of each individual provides the National Statistical Institute (NSI) with huge information potential. Unfortunately, the administrative sources at our disposal do not always allow a reliable determination of the workplace of each worker. We present a probabilistic methodology to assign a workplace to each employee by assigning him to one of the local units of the enterprise he works for. We used a Latent Class Model to estimate the probability of each employee to belong to each local unit. We assumed the total number of employees per local unit as a constraint. A computationally intensive optimization problem has been solved for each of the ca. 200 thousands multilocated enterprises. The results refer to year 2011
La domanda di accesso agli strumenti di regolazione della crisi e dell’insolvenza e alla liquidazione giudiziale. Commento all’art. 40 c.c.i.i.
No full textIl procedimento per l’apertura della liquidazione giudiziale. Commento all’art. 41 c.c.i.i.
No full textPopulation Size Estimation Using Multiple Incomplete Lists with Overcoverage
Full text linkThe quantity and quality of administrative information available to National Statistical Institutes have been constantly increasing over the past several years. However, different sources of administrative data are not expected to each have the same population coverage, so that estimating the true population size from the collective set of data poses several methodological challenges that set the problem apart from a classical capture-recapture setting. In this article, we consider two specific aspects of this problem: (1) misclassification of the units, leading to lists with both overcoverage and undercoverage; and (2) lists focusing on a specific subpopulation, leaving a proportion of the population with null probability of being captured. We propose an approach to this problem that employs a class of capturerecapture methods based on Latent Class models. We assess the proposed approach via a simulation study, then apply the method to five sources of empirical data to estimate the number of active local units of Italian enterprises in 2011
L’istruttoria sui debiti risultanti dai pubblici registri nei procedimenti per l'apertura della liquidazione giudiziale o del concordato preventivo. Commento all’art. 42 c.c.i.i.
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Art. 61 - Accordi di ristrutturazione ad efficacia estesa/Art. 62 - Convenzione di moratoria
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