Search results for "multivariate"

Suite of Statistical Models Forecasting Latvian GDP

2014

Abstract We develop a suite of statistical models to forecast Latvian GDP. We employ various univariate and multivariate econometric techniques to obtain short-term GDP projections and to assess the performance of the models. We also comprise the information contained in components of GDP and obtain short-term GDP projections from disaggregated perspective. We run out-of-sample forecasting procedures to evaluate GDP projections and to assess forecasting accuracy of all individual statistical models. We conclude that factor and bridge models are among the best individually performing models in the suite. Forecasting accuracy obtained using disaggregated models of factor and bridge models is …

Heart Rate Variability Monitoring During Strength and High-Intensity Interval Training Overload Microcycles

2019

Objective: In two independent study arms, we determine the effects of strength training (ST) and high-intensity interval training (HIIT) overload on cardiac autonomic modulation by measuring heart rate (HR) and vagal heart rate variability (HRV). Methods: In the study, 37 well-trained athletes (ST: 7 female, 12 male; HIIT: 9 female, 9 male) were subjected to orthostatic tests (HR and HRV recordings) each day during a 4-day baseline period, a 6-day overload microcycle, and a 4-day recovery period. Discipline-specific performance was assessed before and 1 and 4 days after training. Results: Following ST overload, supine HR, and vagal HRV (Ln RMSSD) were clearly increased and decreased (small …

A multivariate powered half-normal distribution

2008

The half-normal distribution has applications in various contexts, particularly in economic analysis (to describe, for example, inefficiency variables), reliability analysis and quality control. However, it seems that, still in the recent literature, interest in forms of multivariate distribution with half-normal marginals is remained at a low level. This problem arises, for example, in the context of economic analysis when it needs to examine inefficiency variables simultaneously. Furthermore, from a robustness perspective, the distributional assumption of half-normality may show itself too strong (or the model too rigorous) and to be inconsistent with the real data, thus motivating the ne…

Teaching competences in Secondary Education : analysis of teachers’ profiles

2014

This paper reports some of the findings from a study that aimed to analyse the importance attributed by secondary education teachers from the province of Castellón (Spain) to teaching competencies and to establish professional profiles from their responses. The survey was based on a purposely designed questionnaire answered by a representative sample of 136 secondary teachers from Castellón, representing 23 school departments. From an analysis of the responses we identified three professional profiles based on the importance that teachers attribute to a range of competencies; although all the competencies were valued highly, we found that teachers still consider the traditional delivery of …

A Statistical Approach for A-Posteriori Deployment of Microclimate Sensors in Museums: A Case Study

2022

[EN] The deployment of sensors is the first issue encountered when microclimate monitoring is planned in spaces devoted to the conservation of artworks. Sometimes, the first decision regarding the position of sensors may not be suitable for characterising the microclimate close to climate sensitive artworks or should be revised in light of new circumstances. This paper fits into this context by proposing a rational approach for a posteriori deployment of microclimate sensors in museums where long-term temperature and relative humidity observations were available (here, the Rosenborg Castle, Copenhagen, Denmark). Different statistical tools such as box-and-whisker plots, principal component …

Application of selected methods of black box for modelling the settleability process in wastewater treatment plant

2017

The paper described how the results of measurement s of inflow wastewater temperature in the chamber, a degree of external and internal recirculation in the biological-mechanical wastewater treatment plan t (WWTP) in Cedzyna near Kielce, Poland, were used to make predictions of settleability of activated sludge. Three methods,namely: multivariate adaptive regression splines (MARS), random forests (RF) and modified random forests (RF+ SOM) were employed to compute activated sludge settleability. The results of analysis indicate that modified random forests demonstrate the best predictive abilities.

Modifications induced on rat exploratory behavior by acoustic stimulation: a multivariate analysis

2007

Heart Rate Variability Monitoring During Strength and High-Intensity Interval Training Overload Microcycles

2019

Objective: In two independent study arms, we determine the effects of strength training (ST) and high-intensity interval training (HIIT) overload on cardiac autonomic modulation by measuring heart rate (HR) and vagal heart rate variability (HRV).Methods: In the study, 37 well-trained athletes (ST: 7 female, 12 male; HIIT: 9 female, 9 male) were subjected to orthostatic tests (HR and HRV recordings) each day during a 4-day baseline period, a 6-day overload microcycle, and a 4-day recovery period. Discipline-specific performance was assessed before and 1 and 4 days after training.Results: Following ST overload, supine HR, and vagal HRV (Ln RMSSD) were clearly increased and decreased (small ef…

A latent profile analysis of trait emotional intelligence to identify beneficial and risk profiles in well-being and job performance: a study among J…

2016

Trait emotional intelligence (EI) is a noteworthy psychological resource in nursing. However, its effects on well-being and job performance are inconsistent. Thus, we explored the latent beneficial and risk profiles of trait EI among 461 Japanese eldercare nurses. Latent profile analysis revealed six latent profiles. In addition, multivariate analysis of covariance (MANCOVA) showed that the profile with the highest overall scores on the trait EI dimensions was associated with the most beneficial outcomes (better well-being, higher job performance). In contrast, the profiles with lower overall scores on the trait EI dimensions showed negative outcomes. Moreover, a disproportional profile, ch…

Incorporación de elementos traza en conchas de melanopsis durante el crecimiento : posibilidades de aplicación en paleoecología

1988

El objetivo del presente trabajo está encaminado al estudio de las variaciones de oligoelementos en la concha de un gasterópodo de agua dulce del género Melanopsis (U dufouri (FERUSSAC), con dos morfotipos) y si éstas tienen que ver, o no, con la fluctuación de una serie de parámetros ambientales. La importancia del trabajo radica en la posibilidad de la aplicación paleoecológica de sus resultados, ya que el género MelanopsÍs tiene un abundante registro fósil durante todo el Cenozoico. La incorporación de oligoelementos se efectúa a medida que la concha va creciendo por acreción; lo ideal sería que tal crecimiento fuera circadiano, ya que se podría seguir día a día, sobre la concha, la fluc…