| Educational guide Faculty of Business and Economics |
english |
| Business Management (2016) |
 Subjects |
| QUANTITATIVE RESEARCH TECHNIQUES I |
| Contents |
| IDENTIFYING DATA | 2023_24 |
| Subject | QUANTITATIVE RESEARCH TECHNIQUES I | Code | 16665218 | |||||
| Study programme |
|
Cycle | 1st & 2nd | |||||
| Descriptors | Credits | Type | Year | Period | ||||
| 3 | Optional | First | 2Q |
|||||
| Competences | Learning outcomes | Contents |
| Planning | Methodologies | Personalized attention |
| Assessment | Sources of information | Recommendations |
| Topic | Sub-topic |
| UNIT 1. BASIC CONCEPTS | 1.1. Introduction to R. 1.2. Graphics in R. 1.3. Data structures. |
| UNIT 2. QUANTITATIVE ANALYSIS. | 2.1. Analysis of populations and samples. 2.2. Descriptive statistics. 2.3. Statistical inference. |
| TEMA 3. CORRELATION AND REGRESSION. | 3.1. Simple linear regression model. 3.2. Multiple linear regression model. 3.3 Qualitative variables. 3.4 Hedonic price models. 3.5 Quantile regression. |
| TEMA 4. UNIVARIATE TIME SERIES MODELS. | 4.1. Autoregressive–moving-average (ARMA) models. 4.2 Identificacition, estimation and diagnosis: Box-Jenkins method. 4.3 Prediction. 4.4 Non-stationary processes: integrated processes and unit roots. |
