Search results for "Variable"

Seasonal precipitation interpolation at the Valencia region with multivariate methods using geographic and topographic information

2009

The spatial pattern of precipitation is a complex variable that strongly depends on other geographic and topographic factors. As precipitation is usually known only at certain locations, interpolation procedures are needed in order to predict this variable in other regions. The use of multivariate interpolation methods is usually preferred, as secondary variables—generally derived using GIS tools—correlated with precipitation can be included. In this paper, a comparative study on different univariate and multivariate interpolation methodologies is presented. Our study area is centred in the region of Valencia, located to the eastern Spanish Mediterranean coast. The followed methodology can …

Emotions and visitors’ satisfaction at a museum

2014

Purpose – This research aims to investigate whether emotions can be considered as a suitable variable to segment visitors at a museum. Furthermore, it seeks to analyse whether emotions influence visitor satisfaction and whether this depends on objective variables (such as age, gender and level of education) or not. Design/methodology/approach – A structured questionnaire was developed and data were collected at the National Museum of Archaeology “G.A. Sanna” in Sardinia (Italy) via 410 face-to-face interviews. Hierarchical and non-hierarchical cluster analyses and a series of chi-squared tests were run for the purpose of the study. Findings – Two segments were identified. The cluster with …

The clinical and molecular spectrum of QRICH1 associated neurodevelopmental disorder

2022

De novo variants in QRICH1 (Glutamine-rich protein 1) has recently been reported in 11 individuals with intellectual disability. The function of QRICH1 is largely unknown but it is likely to play a key role in the unfolded response of endoplasmic reticulum (ER) stress through transcriptional control of proteostasis. In this study, we present 27 additional individuals and delineate the clinical and molecular spectrum of the individuals (n=38) with QRICH1 variants. The main clinical features were mild to moderate developmental delay/intellectual disability (71%), non-specific facial dysmorphism (92%) and hypotonia (39%). Additional findings included poor weight gain (29%), short stature (29%)…

Alternative Diagonality Criteria for SOBI

2015

Blind source separation (BSS) is a multivariate data analysis method, whose roots are in the signal processing community. BSS is applied in diverse fields, including, for example, brain imaging and economic time series analysis. In the BSS model there are interesting latent uncorrelated variables, and the aim is to estimate the latent variables from multiple linear combinations of them. In this article we assume that these variables are weakly stationary time series, and we consider estimation methods which are based on approximate joint diagonalization of autocovariance matrices. In the popular SOBI estimator, a set of matrices is most diagonal when the sum of squares of their diagonal ele…

A Comprehensive Spatiotemporal Framework for Hedonic Pricing: Integrating the Comparable Sales Approach and Minimizing Spatial Omitted Variable Bias

2019

This paper develops a theoretical and methodological framework that integrates Hedonic Pricing (HP), grid comparable sales approach (CSA), and nearest neighbors into a general spatiotemporal specification. By explicitly providing a theoretical justification for introducing spatial (or spatiotemporal) econometrics to HP, this approach is not only relevant to house price forecasting and automated valuation models (AVM) but also to valuing environmental goods capitalized in housing and to all other fields employing house pricing models. The resulting econometric CSA and spatiotemporal Durbin models provide higher prediction accuracy and reliability to alternatives by reducing the spatially-del…

Women’s empowerment and child mortality: the case of Bangladesh

2018

The development of fundamental motor skills of four‐ to five‐year‐old preschool children and the effects of a preschool physical education curriculum

2011

Altogether 38 girls and 46 boys aged four to five years were studied to analyse the linear and non‐linear development of fundamental motor skills. The children were grouped into one experimental and one control group to study the effects of an eight‐month preschool physical education curriculum. In the course of one year, the balance skills of the girls, the running speed of the boys and the standing broad‐jump and manipulative skills of both genders progressed linearly according to the children's age. Two weekly 45‐minute physical education lessons instructed by preschool teachers promoted the linear development of the girls' standing broad‐jump and non‐linear development of the boys' runn…

Making Every "Point" Count: Identifying the Key Determinants of Team Success in Elite Men’s Wheelchair Basketball

2019

Wheelchair basketball coaches and researchers have typically relied on box score data and the Comprehensive Basketball Grading System to inform practice, however, these data do not acknowledge how the dynamic perspectives of teams change, vary and adapt during possessions in relation to the outcome of a game. Therefore, this study aimed to identify the key dynamic variables associated with team success in elite men’s wheelchair basketball and explore the impact of each key dynamic variable upon the outcome of performance through the use of binary logistic regression modelling. The valid and reliable template developed by Francis, Owen and Peters (2019) was used to analyse video footage in S…

Practical Issues on Energy-Growth Nexus Data and Variable Selection With Bayesian Analysis

2018

Abstract Given that the energy-growth nexus (EGN) is short of a complete theoretical base, the production function used therein is typically complemented with numerous variables that characterize an economy. Researchers are often puzzled not only with the selection of variables per se, but also with the variable sources and the various data handlings which become apparent and available only after years of experience in this research field. Thus, this chapter is divided into two distinctive parts: The first part contains an overview of the available data sources for the EGN as well as a succinct selection of advice on data handlings, transformations, and interpretations that could come handy…

Reliable Underlay D2D Communications over Multiple Transmit Antenna Framework

2020

Robust beamforming is an efficient technique to guarantee the desired receiver performance in the presence of erroneous channel state information (CSI). However, the application of robust beamforming in underlay device-to-device (D2D) communication still requires further investigation. In this paper, we investigate resource allocation problem for underlay D2D communications by considering multiple antennas at the base station (BS) and at the transmitters of D2D pairs. The proposed design problem aims at maximizing the aggregate rate of all D2D pairs and cellular users (CUs) in downlink spectrum. In addition, our objective is augmented to achieve a fair allocation of resources across the D2D…