Search results for "Regression"
showing 10 items of 2619 documents
Effect of Cetrorelix on sperm morphology during migration through the epididymis in the cynomolgus macaque (Macaca fascicularis)
2000
The importance of the cynomolgus monkey as a model for human reproductive medicine prompted this examination of epididymal sperm morphology. Computer-aided sperm morphological analysis was used for the first time to provide morphometric data on sperm heads as they traversed the epididymal duct of Macaca fascicularis. The duct was divided into six regions, starting close to the testis (proximal) and ending close to the vas deferens (distal). To determine the androgen-dependence of the changes, one group of animals received a GnRH-antagonist (Cetrorelix, Asta Medica, Frankfurt, Germany) to induce testicular regression and lower epididymal androgens, while a control group received only vehicle…
Quality certifications’ impact on wine industry assets performance
2020
This study analyses the impact of third-party voluntary certifications on the asset of wineries operating in the Southern Italian regions. The study carried out both quantitative and qualitative approaches, with data extracted from the AIDA Bureau van Dijk International Database (including performance indicators). The analysed sector belongs to 11.02 ‘Manufacture of wine from grape’ of the Statistical classification of economic activities in the European Community (NACE). The econometric elaboration (regression) was carried out by means of STATA software 14. Comparing certified and no certified wineries, results show a better asset performance of certified wineries, confirmed by a positive …
Two Relevant Forecasting Problems for Practitioners in Finance: Equity Risk Premium and Non-Performing Loans
2021
The thesis aims to substantiate whether macroeconomic factors indicators are relevant to predict both in-sample and out-of-sample assets' future performance focusing on two well-studied themes in financial economics and banking: First, the ability to predict the equity risk premium, and second, the macroeconomic determinants of non-performing loans (NPL) rates. The dissertation is divided in three chapters. Chapter 1, entitled "Forecasting the equity risk premium in the European Monetary Union", investigates the capacity of multiple economic and technical variables to predict the Euro area equity risk premium. The chapter examines the performance of several variables that could be good pred…
Strategic and motivational factors as predictors of pre-service primary teachers's success in problem solving
2014
En este trabajo se presenta una investigación descriptiva que muestra las relaciones entre cinco factores motivacionales y estratégicos (planificación, estrategias cognitivas, autocontrol, esfuerzo y autoeficacia) y el rendimiento en la resolución de problemas. Se administró a 66 maestras y maestros de primaria en formación un cuadernillo con dos problemas (problema 1 y problema 2) y el test de O'Neil y Schacter. Los resultados de los análisis de regresión múltiple ponen de manifiesto que: a) planificación, esfuerzo y autoeficacia son predictores significativos de las puntuaciones de las puntuaciones del problema de estructura simple (problema 1); b) esfuerzo, autoeficacia y estrategias cog…
The Influence of Student Abilities and High School on Student Growth: A Case Study of Chinese National College Entrance Exam
2019
Enabled by available educational data and data mining techniques, educational data analysis has become a hot topic. Current researches mainly focus on the prediction of problems and performance rather than revealing the underlying causal relationships. Based on a unique exam data, we extracted the abilities of examinee from HSEE (High School Entrance Exam) based on the knowledge of educational experts, then we measured student growth from middle school to high school in total score and subject scores. We studied the impact of high school ranking and student abilities of HSEE on student growth by multiple linear regression model, in which high school ranking is divided into 5 levels, Level 1…
APROXIMACIÓN CONCEPTUAL Y PRÁCTICA A LOS MODELOS DE ECUACIONES ESTRUCTURALES
2017
En el presente trabajo se expone una aproximación conceptual y práctica a los Modelos de Ecuaciones Estructurales o Structural Equation Modeling (SEM). Los SEM están considerados entre las herramientas más potentes para el estudio de relaciones causales en datos no experimentales. Son una combinación del análisis factorial y la regresión múltiple y están compuestos por dos componentes: el modelo de medida y el modelo estructural. El modelo de medida describe la relación existente entre una serie de variables observables; mientras que en el modelo estructural se especifican las relaciones hipotetizadas entre las variables, es decir, se describen las relaciones entre las variables latentes me…
Children and Parental Barriers to Active Commuting to School: A Comparison Study
2021
The main objectives of this study were: to compare the barriers to active commuting to and from school (ACS) between children and their parents separately for children and adolescents; and to analyze the association between ACS and the children’s and parents’ barriers. A total of 401 child–parent pairs, from Granada, Jaén, Toledo and Valencia, self-reported, separately, their mode of commuting to school and work, respectively, and the children’s barriers to ACS. T-tests and chi-square tests were used to analyze the differences by age for continuous and categorical variables, respectively. Binary logistic regressions were performed to study the association between ACS barriers of children an…
L’utilizzo della regressione multipla nelle indagini estimative condotte in mercati fondiari attivi: il caso studio di oliveti e vigneti in un territ…
2012
The present study aims to provide a further contribution to the knowledge about the mechanism of price formation concerning olive orchards and vineyards in a land market of south-west Sicily. Firstly the main characteristics of a sample concerning 42 land properties recently sold in Partanna territory were surveyed and afterwards their relationships between the most relevant among them and the correspondent market prices (both total and unitary sales prices) were investigated through the Multiple Regression Analysis. Finally some propositive remarks were formulated in order to create and successively keep up to date a database of land market prices, necessary tool to improve the quality lev…
Comparison of feature importance measures as explanations for classification models
2021
AbstractExplainable artificial intelligence is an emerging research direction helping the user or developer of machine learning models understand why models behave the way they do. The most popular explanation technique is feature importance. However, there are several different approaches how feature importances are being measured, most notably global and local. In this study we compare different feature importance measures using both linear (logistic regression with L1 penalization) and non-linear (random forest) methods and local interpretable model-agnostic explanations on top of them. These methods are applied to two datasets from the medical domain, the openly available breast cancer …
Machine learning for mortality analysis in patients with COVID-19
2020
This paper analyzes a sample of patients hospitalized with COVID-19 in the region of Madrid (Spain). Survival analysis, logistic regression, and machine learning techniques (both supervised and unsupervised) are applied to carry out the analysis where the endpoint variable is the reason for hospital discharge (home or deceased). The different methods applied show the importance of variables such as age, O2 saturation at Emergency Rooms (ER), and whether the patient comes from a nursing home. In addition, biclustering is used to globally analyze the patient-drug dataset, extracting segments of patients. We highlight the validity of the classifiers developed to predict the mortality, reaching…