Search results for "Econometric"
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Response Determination Criteria for ELISPOT: Toward a Standard that Can Be Applied Across Laboratories
2011
ELISPOT assay readout is often dichomized as positive or negative responses according to prespecified criteria. However, these criteria can vary widely across institutions. The adoption of a common response criterion is a key step toward cross-laboratory comparability. This chapter describes the two main approaches to response determination, identifying the strengths and limitations of each. Nonparametric statistical tests and consideration of data quality are recommended and instructions provided for their ready implementation by nonstatisticians and statisticians alike.
Appendix C: Fundamentals of geostatistics
2008
Product Placement Bibliometric Study: Generic Journals Versus Specific-Communication Journals
2021
Media fragmentation represents new challenges for product placement strategies to become an increasingly effective way to reach consumers and non-users. In this frame, this paper has been developed with three main objectives: (i) to carry on a performance analysis to measure the visibility/impact of the scientific product in product placement (most cited authors, journals, and themes), (ii) to visually present the scientific structure by topics of research in product placement as well as its evolution to identify future research lines, and (iii) to compare both objectives in generic journals and specific communication ones. To this end, the resources in the Web of Science Citation Index wer…
Register data in sample allocations for small-area estimation
2018
The inadequate control of sample sizes in surveys using stratified sampling and area estimation may occur when the overall sample size is small or auxiliary information is insufficiently used. Very small sample sizes are possible for some areas. The proposed allocation based on multi-objective optimization uses a small-area model and estimation method and semi-collected empirical data annually collected empirical data. The assessment of its performance at the area and at the population levels is based on design-based sample simulations. Five previously developed allocations serve as references. The model-based estimator is more accurate than the design-based Horvitz–Thompson estimator and t…
Daily streamlow prediction with uncertainty in ephemeral catchments using the GLUE methodology
2009
Abstract The Generalised Likelihood Uncertainty Estimation (GLUE) approach is presented here as a tool for estimating the predictive uncertainty of a rainfall–runoff model. The GLUE methodology allows to recognise the possible equifinality of different parameter sets and assesses the likelihood of a parameters set being acceptable simulator when model predictions are compared to observed field data. The results of the GLUE methodology depend greatly on the choice of the likelihood measure and on the choice of the threshold which determines if a parameters set is behavioural or not. Moreover the sampling size has a strong influence on the uncertainty assessment of the response of a rainfall–…
Testing for goodness rather than lack of fit of continuous probability distributions.
2021
The vast majority of testing procedures presented in the literature as goodness-of-fit tests fail to accomplish what the term is promising. Actually, a significant result of such a test indicates that the true distribution underlying the data differs substantially from the assumed model, whereas the true objective is usually to establish that the model fits the data sufficiently well. Meeting that objective requires to carry out a testing procedure for a problem in which the statement that the deviations between model and true distribution are small, plays the role of the alternative hypothesis. Testing procedures of this kind, for which the term tests for equivalence has been coined in sta…
Probabilistic characterization of flood hazard using bivariate analysis based on copulas
2014
This study presents an innovative approach to obtain flood hazard maps where hydrological input (synthetic flood design event) to a 2D hydraulic model has been defined by generating flood peak discharges and volumes from a bivariate statistical analysis, through the use of copulas. Synthetic hydrographs were generated by means two different approaches: an indirect one, where rainfall were generated by a stochastic bivariate rainfall generator to be entered a distributed conceptual rainfall-runoff model that consisted of a soil moisture routine and a flow routing routine; and a direct one, where stochastic generation of flood peaks and flow volumes have been obtained via copulas, which descr…
Does Regression Discontinuity Design Work? Evidence from Random Election Outcomes
2014
We use data for 198121 candidates and 1351 random election outcomes to estimate the effect of incumbency status on future electoral success. We find no evidence of incumbency advantage using data on randomized elections. In contrast, regression discontinuity design, using optimal bandwidths, produces a positive and significant incumbency effect. Using even narrower bandwidths aligns the results with those obtained using the randomized elections. So does the bias-correction of Calonico et al. (forthcoming). Standard validity tests are not useful in detecting the problems with the optimal bandwidths. The appropriate bandwidth seems narrower in larger elections and is thus context specific.
ESL ? A New Simulation Language for Economic Models
1990
A new simulation language for modelling economic processes is presented which allows the specification of single decision units and coordinates all their activities. The basic ideas and features of this language will be described and demonstrated through small examples.
El panel de loterías como tarea no paramétrica para la obtención de la actitud frente al riesgo
2012
In this paper, we propose a simple task for eliciting attitudes toward risky choice, the Sabater-Grande and Georgantzís (SGG) lottery-panel task, which consists in a series of lotteries constructed to compensate riskier options with higher risk-return trade-offs. Using Principal Component Analysis technique, we show that the SGG lotterypanel task is capable of capturing two dimensions of individual risky decision making: subjects’ average willingness to choose risky projects and their sensitivity towards variations in the return to risk. We report results from a large dataset obtained from the implementation of the SGG lottery-panel task and discuss regularities and the desirability of its …