A breakpoint detection in the mean model with heterogeneous variance on fixed time intervals

Statistics and Computing - This work is motivated by an application for the homogenization of global navigation satellite system (GNSS)-derived integrated water vapour series. Indeed, these series...     

Signed compound poisson integer-valued GARCH processes

Abstract

We propose signed compound Poisson integer-valued GARCH processes for the modeling of the difference of count time series data. We investigate the theoretical properties of these processes and we state their ergodicity and stationarity under mild conditions. We discuss the conditional maximum likelihood estimator when the series appearing in the difference are INGARCH with geometric distribution and explore its finite sample properties in a simulation study. Two real data examples illustrate this methodology.     

Identity and Disruptiveness in Boys: Longitudinal Perspectives

After more than 30 years of research on identity, the links between identity and disruptive behaviors are not clear. This study compared the identity formation of boys with stable disruptive behaviors from age 6 to age 15 (n = 16), with the identity formation of boys that were never disruptive during the same period (n = 25). All boys came from low socio-economic status families. At age 9 and 11, identity was assessed with the The Self-Perception Profile for Children (Harter, 1985). At age 15, identity was assessed with the Extended Objective Measure of Ego Identity Status (Adams, Bennion, & Huh, 1989) and two scales of the Offer Self-Image Questionnaire (Offer, Ostrov, & Howard, 1981). Differences between disruptive and non-disruptive boys were found only for behavior in childhood and identity in ideological domains at age 15. Explanations for the weakness of the link between identity and disruptiveness are discussed.     

Machinisme, marxisme, humanisme : Georges Friedmann avant et après-guerre

Georges Friedmann (1902-1977) is known as the founder, following WW II, of a “sociology of humanist work”. Before the war, he was a Marxist intellectual, close to the Communist Party, who admired the young Soviet Union. How this political and ideological itinerary affected his sociology of labor, has never been systematically analyzed. To do so, “machinism” (mechanization), a key concept in the first part of Friedmann’s writing, is scrutinized. This concept came not from Marx, but from Michelet’s romantic conception of history, with which Friedmann was familiar. Following the war, it was given up for the pair “natural/technical milieu”; but this shift in vocabulary did not radically alter Friedmann’s views. Questions arise about how the intellectual itinerary of the founder of French labor sociology, who was shaped by the political trauma experienced by his generation, has lastingly affected this discipline.     

Estimation of symmetric disagreement using a uniform association model for ordinal agreement data

The Cohen kappa is probably the most widely used measure of agreement. Measuring the degree of agreement or disagreement in square contingency tables by two raters is mostly of interest. Modeling the agreement provides more information on the pattern of the agreement rather than summarizing the agreement by kappa coefficient. Additionally, the disagreement models in the literature they mentioned are proposed for the nominal scales. Disagreement and uniform association models are aggregated as a new model for the ordinal scale agreement data, thus in this paper, symmetric disagreement plus uniform association model that aims separating the association from the disagreement is proposed. Proposed model is applied to real uterine cancer data.     

Stability and Change in Kindergartners' Friendships: Examination of Links with Social Functioning

Stability and change in kindergartners' friendships were examined based on a typology of profiles (stable, fluid, loss, gain, friendless). Our purpose was to determine whether children belonging to the five profiles differed in their social functioning. The sample was composed of 2353 kindergartners. Reciprocal friendships and social functioning indices were measured using peer nominations collected in October and May of the same year. A series of repeated measures analysis of variance indicated that children in the friendless profile were less accepted by their peers, more shy, more withdrawn, and more aggressive than other children. Moreover, children in the stable profile were significantly more accepted by their peers, more prosocial, and less shy than children in the fluid profile. Lastly, children in the loss profile became less accepted by their peers and less prosocial over the course of the year whereas children in the gain profile became more accepted and prosocial.     

On tail index estimation based on multivariate data

This article is devoted to the study of tail index estimation based on i.i.d. multivariate observations, drawn from a standard heavy-tailed distribution, that is, of which Pareto-like marginals share the same tail index. A multivariate central limit theorem for a random vector, whose components correspond to (possibly dependent) Hill estimators of the common tail index α, is established under mild conditions. We introduce the concept of (standard) heavy-tailed random vector of tail index α and show how this limit result can be used in order to build an estimator of α with small asymptotic mean squared error, through a proper convex linear combination of the coordinates. Beyond asymptotic results, simulation experiments illustrating the relevance of the approach promoted are also presented.