María Carmen Iglesias-Pérez

University of Vigo | UVIGO · Department of Statistics and Operational Research

By applying the empirical likelihood method, we construct a new weighted estimator of the conditional mean function for a left-truncated and right-censored model. Assuming that the observations form a stationary α-mixing sequence, we derive weak convergence with a certain rate and prove asymptotic normality of the weighted estimator. The asymptotic...

The aim of this study was to provide percentile curves and reference values for the performance in 2000-m maximal effort on rowing ergometer. A cross-sectional study was carried out with a non-probabilistic sample (n=15420) obtained from an on-line ranking of indoor rowing and made from results between 2010 and 2014 recorded in 2000-m official race...

Objective Use logistic regression to determine a mathematical model which is able to predict injuries in aerobic gymnastics (AG) athletes, according to certain anthropometric characteristics. Subjects and methods In total, 73 athletes were recruited, of whom 51 were gymnasts and 22 were athletes from other sports. The independent variables were an...

The aim of this study was to identify the differences between seasons in men's water polo regular competition by analysing the changes of game-related statistics. The sample comprised 88 games from the Spanish Professional Water Polo League (2011-2014). The game-related statistics were clustered into five groups: attacks in relation to the differen...

The aim of this study was to identify the differences between seasons in men´s water polo regular competition by analysing the changes of game-related statistics. The sample comprised 88 games from the Spanish Professional Water Polo League (2011-2014). The game-related statistics were clustered into five groups: attacks in relation to the differen...

The aim of this study was to assess the effect of quality of opposition, starting quarter score and match location on offensive performance indicators in the First Spanish Professional Water Polo League. Eighty-eight matches from the 2011–2014 domestic league seasons were notated post-event using a computerised notational analysis system. The depen...

The aim of the present study was to identify groups of offensive performance indicators which best discriminated between a match score (favourable, balanced or unfavourable) in water polo. The sample comprised 88 regular season games (2011-2014) from the Spanish Professional Water Polo League. The offensive performance indicators were clustered in...

The aim of this study was to identify specific offensive performance indicators that distinguish the top clubs from the others in the Male Honour Division of the Spanish Water Polo League. A total of 88 matches from the 2011-2014 seasons have been analysed. The offensive performance variables were divided into four groups, namely, playing situation...

The purpose of the present study was to identify offensive performance indicators that may discriminate by match score (favourable, balanced or unfavourable). The sample comprised 88 regular season games (2011-2014) from the Spanish Professional Water-Polo League. Univariate (ANOVA test; Kruskal-Wallis test and Generalized Linear Model test (GLM))...

On the basis of the idea of the Nadaraya–Watson (NW) kernel smoother and the technique of the local linear (LL) smoother, we construct the NW and LL estimators of conditional mean functions and their derivatives for a left-truncated and right-censored model. The target function includes the regression function, the conditional moment and the condit...

In this paper we study the strong and weak convergence with rates for the estimators of the conditional distribution function as well as conditional cumulative hazard rate function for a left truncated and right censored model. It is assumed that the lifetime observations with multivariate covariates form a stationary α-mixing sequence. Also, the a...

By applying local polynomial regression, we propose an estimator of a conditional mean function and its derivatives under a left truncation model. The target function includes the regression function, the conditional moment as well as the conditional distribution function as special cases. It is assumed that the observations form a stationary α-mix...

A new kernel-type density estimator is presented in the context of left truncated and right censored data. This estimator is obtained by the convolution of a kernel with an estimator of the distribution function based on presmoothing ideas. Asymptotic properties, including an i.i.d. representation, consistency, asymptotic normality and mean integra...

In this paper we consider the problem of estimating a conditional distribution function in a nonparametric way, when the response variable is nonnegative, and the observational procedure is length-biased. We propose a proper adaptation of the estimate to right-censoring provoked by limitation in following-up. Large sample analysis of the introduced...

In this paper we propose a new nonparametric estimator of the conditional distribution function under a semiparametric censorship model. We establish an asymptotic representation of the estimator as a sum of iid random variables, balanced by some kernel weights. This representation is used for obtaining large sample results such as the rate of unif...

We propose a new method to estimate the cumulative hazard function and the corresponding distribution function of survival times under randomly left-truncated and right-censored observations (LTRC). The new estimators are based on presmoothing ideas, the estimation of the conditional expectation m of the censoring indicator. An almost sure represen...

The aim of this work is to provide procedures to check if the theoretical semivariogram of an intrinsic and isotropic random process follows a parametric model. For this purpose, several tests based on measuring the L2 distance between the parametric fit and a nonparametric kernel semivariogram are proposed, which are proved to have normal limit di...

We consider lifetime data with covariables which are subject to both left truncation and right censorship. In this context, it is interesting to study the conditional distribution function of the lifetime and the corresponding conditional quantile function. A generalized product-limit estimator (GPLE) of the conditional distribution function has be...

This chapter presents a generalized product-limit estimator of the conditional distribution function when the data are subject to random left truncation and right censorship (LTRC). This result extends strong representations studied on conditional survival analysis for censored data as well as for truncated data. A PLE for LTRC data when covariable...

We propose a resampling method for left truncated and right censored data with covariables to obtain a bootstrap version of the conditional distribution function estimator. We derive an almost sure representation for this bootstrapped estimator and, as a consequence, the consistency of the bootstrap is obtained. This bootstrap approximation represe...

En análisis de supervivencia es frecuente encontrarse con tiempos de fallo sujetos a truncamiento por la izquierda y censura por la derecha ( TICD ) junto con covariables relacionadas con la variable de interés. Una forma de explicar el efecto de las covariables sobre el tiempo de fallo es por medio de la función de distribución condicional. Utiliz...

An almost sure representation is obtained for a generalized product-limit estimator of the conditional distribution function when the data are subject to random left truncation and right censorship. This result extends strong representations studied on conditional survival analysis for censored data (Gónzalez-Manteiga and Cadarso-Suárez, 1994; Van...