Search results for " Regression"
showing 10 items of 1835 documents
Ítems contextualizados de PISA Ciencias: La conexión entre las demandas cognitivas y las características de contexto de los ítems
2016
El uso frecuente de contextos en los ítems de la prueba se basa en la premisa de que la contextualización de ítems es una estrategia eficaz para comprobar si los estudiantes pueden aplicar o transferir sus conocimientos. En este trabajo, seguimos una línea de investigación que se centra en probar esta premisa. Se presenta un estudio de las características del contexto en una muestra de ítems de PISA ciencias de 2006 y 2009 y cómo estas características, así como el rendimiento del estudiante puede estar relacionado con las demandas cognitivas en los ítems. El estudio se basa en dos preguntas de investigación: (1) ¿Cuáles son las demandas cognitivas de los ítems contextualizados en la muestra…
Long term effect of teenage birth on earnings: Evidence from a British cohort study
2016
We use data from the 1970 British Cohort Study and evaluate the effect of teenage motherhood on hourly earnings at age 30, 34, 38, and 42 using alternative non-experimental estimation methods including linear regression, matching methods, and Heckman sample selection models. We conclude that teenage motherhood has a significant negative long-term effect on hourly wages. At age 42, teenage mothers earn 12% less than other women and 29% less than women who have not had any children. When compared to non-teenage mothers, the pay penalty reduces over time and becomes insignificant on the long term.
Penalized logistic regression for small or sparse data: interval estimators revisited
2015
This paper focuses on interval estimation in logistic regression models fitted through the Firth penalized log-likelihood. In this context, many authors have claimed superiority of the Likelihood ratio statistic with respect to the (wrong) Wald statistic via simulation evidence. We re-assess such findings by detailing the inferential tools also including in the comparisons the (right) Wald statistic and other statistics neglected in previous literature. In particular, we assess performances of the CIs estimators by simulation and compare them in a real data set. Differently from previous findings, the Likelihood ratio statistic does not appear to be the best inferential device in Firth pena…
Quantifying Irrigated Winter Wheat LAI in Argentina Using Multiple Sentinel-1 Incidence Angles
2022
Synthetic aperture radar (SAR) data provides an appealing opportunity for all-weather day or night Earth surface monitoring. The European constellation Sentinel-1 (S1) consisting of S1-A and S1-B satellites offers a suitable revisit time and spatial resolution for the observation of croplands from space. The C-band radar backscatter is sensitive to vegetation structure changes and phenology as well as soil moisture and roughness. It also varies depending on the local incidence angle (LIA) of the SAR acquisition’s geometry. The LIA backscatter dependency could therefore be exploited to improve the retrieval of the crop biophysical variables. The availability of S1 radar time-series data at d…
Root cause analysis of large scale application testing results
2015
In this paper we present a new root cause analysis algorithm for discovering the most likely causes of the differences found in testing results of two versions of the same software. The problematic points in test and environment attribute hierarchies are presented to the user in compact way which in turn allows to save time on test result processing. We have proven that for clearly separated problem causes our algorithm gives exact solution. Practical application of described method is discussed.
MODEL DAN PELUANG TERJADINYA HUJAN BERDASARKAN KELEMBABAN MENGGUNAKAN REGRESI LOGISTIK BINER DI KABUPATEN MANOKWARI
2020
Manokwari Regrency has a tropical climate. This results in significant rainfall. One factor that stimulates rain is humidity. By using binary logistic regression, the model an chance of rainfall based on humidity can be determined. Logistic regression analysis is used to determine the relationship between categorical scale response variables and numeric or categoric scale explanatory variables. If response variable used is nominal scale with two possoble value (0 and 1), then it is called binary logistic regression. Estimation of the model is done by logit transformation. The model produce in this study is g(x) = -23.443 + 0.289 humidity. The accuracy of the model is 70.4 percent and …
Generalized wavelets design using Kernel methods. Application to signal processing
2013
Abstract Multiresolution representations of data are powerful tools in signal processing. In Harten’s framework, multiresolution transforms are defined by predicting finer resolution levels of information from coarser ones using an operator, called the prediction operator, and defining details (or wavelet coefficients) that are the difference between the exact values and the predicted values. In this paper we present a multiresolution scheme using local polynomial regression theory in order to design a more accurate prediction operator. The stability of the scheme is proved and the order of the method is calculated. Finally, some results are presented comparing our method with the classical…
Associations between Finnish 9th grade students' school perceptions, health behaviors, and family factors
2012
PurposeThe aim of this study was to examine the associations between students' perceptions of the psychosocial school environment, health‐compromising behaviours, and selected family factors. The analyses were based on data provided for the Health Behaviour in School‐aged Children Study (2006).Design/methodology/approachThe data were obtained from 1,670 Finnish 9th graders. Logistic regression analysis was performed to identify the associations between school perceptions, health‐compromising behaviours, and selected family factors.FindingsEducational aspiration was found to be the most influential factor connected to health‐compromising behaviour among both genders, favouring students who w…
Gender Differences In Stem Courses: Analysis Of Italian Students' Performance
2021
Gender gap in Science, Technology, Engineering and Mathematics (STEM) courses is a prevalent topic in the recent literature, and quantitative studies on this relationship are essential to understand better the discussion and issues claimed by the arguments and the theories on this topic. In Italy, since 1989, the overall share of females enrolling at university is larger than the males' one, but females are still underrepresented in almost all the STEM fields, while overrepresented in nursing, humanities, and law schools. Our paper aims to investigate the gender differences in terms of university performance in STEM courses in Italy. This is done via segmented regression models, representin…
Oral Health-Related Quality of Life in institutionalized elderly in Barcelona (Spain).
2012
Objective: The objective of this study is to describe the oral health status and the factors associated with oral health-related quality of life (OHRQoL) in people aged 65 and older institutionalized in Barcelona in 2009. Study Design: Cross sectional study in 194 elderly. The dependent variable was poor OHRQoL, according to the Geriatric Oral Health Assessment Index (GOHAI). The independent variables were socio-demographic data, last dental visit, subjective and objective oral health status. Robust Poisson regression analysis was used to determine the factors associated with OHRQoL as well as the strengths of association (Prevalence Ratios with respective confidence intervals at 95%). Resu…