Search results for "Bootstrapping"

showing 10 items of 20 documents

Skin in the game: Self-funding and reward crowdfunding success

2022

Abstract This article focuses on entrepreneurs’ self-funding behavior in the reward crowdfunding context and its relation to crowdfunding success. Theoretically anchoring our discussion in signaling theory, we argue that self-funding sends similar information to that conveyed by quick-fix bootstrapping efforts. Accordingly, we hypothesize that self-funding behavior is positively associated with crowdfunding success as it can help alleviate uncertainties around a fundraiser’s intent and quality as perceived by prospective backers. To show this, we use a sample of 1,583 campaigns collected from Zhongchou, the largest Chinese reward-based crowdfunding platform, to test our hypotheses. Our resu…

Marketingmedia_common.quotation_subjectContext (language use)Quality (business)Bootstrapping (linguistics)Sample (statistics)Skin in the gameBusiness and International ManagementMarketingPsychologymedia_commonBusiness Horizons
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Portfolio Models for Fixed Income

2010

MicroeconomicsFixed incomeEconomicsEconometricsPortfolioBootstrapping (linguistics)Portfolio optimizationPractical Financial Optimization
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Comparison of free software platforms for the calculation of the 90% confidence interval of f2 similarity factor by bootstrap analysis

2020

Abstract Introduction The calculation of the 90% confidence interval of f2 based on the bootstrap methodology has been proposed and accepted by the main regulatory authorities when the dissolution data shows excessive variability. Different free software platforms allow the calculation of the 90% CI of f2 by means of bootstrapping. Their use in regulatory submissions is growing, but divergent results have been observed between the available software platforms. Therefore, the objective of this work is to analyze the characteristics of these software platforms and evaluate their results. Methods and materials Highly variable in vitro dissolution data from two products were selected. Three dif…

Percentilebusiness.industryPharmaceutical ScienceValue (computer science)02 engineering and technology021001 nanoscience & nanotechnology030226 pharmacology & pharmacyConfidence interval03 medical and health sciencesVariable (computer science)0302 clinical medicineSoftwareBootstrapping (electronics)Similarity (network science)StatisticsTruncation (statistics)0210 nano-technologybusinessMathematicsEuropean Journal of Pharmaceutical Sciences
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Prediction of Aquatic Toxicity of Benzene Derivatives to Tetrahymena pyriformis According to OECD Principles

2016

Background: Many QSAR studies have been developed to predict acute toxicity over several biomarkers like Pimephales promelas, Daphnia magna and Tetrahymena pyriformis. Regardless of the progress made in this field there are still some gaps to be resolved such as the prediction of aquatic toxicity over the protozoan T. pyriformis still lack a QSAR study focused in accomplish the OECD principles. Methods: Atom-based quadratic indices are used to obtain quantitative structure-activity relationship (QSAR) models for the prediction of aquatic toxicity. Our models agree with the principles required by the OECD for QSAR models to regulatory purposes. The database employed consists of 392 substitut…

PharmacologyQuantitative structure–activity relationshipTetrahymena pyriformisAntiprotozoal AgentsQuantitative Structure-Activity Relationship010501 environmental sciencesBiology01 natural sciencesAcute toxicity0104 chemical sciencesAquatic toxicologyToxicology010404 medicinal & biomolecular chemistryParasitic Sensitivity TestsTest setDrug DiscoveryBenzene derivativesLinear regressionTetrahymena pyriformisBenzene DerivativesBiological systemMonte Carlo MethodAlgorithmsBootstrapping (statistics)0105 earth and related environmental sciencesCurrent Pharmaceutical Design
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The Art of Bootstrapping

2020

Language workbenches are used to define languages using appropriate meta-languages. Meta-languages are also just languages and can, therefore, be defined using themselves. The process is called bootstrapping and is often difficult to achieve.

Process (engineering)business.industryComputer science0211 other engineering and technologiesBootstrapping (linguistics)02 engineering and technologyMachine learningcomputer.software_genreLanguage workbenchMetamodeling0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligencebusinesscomputer021102 mining & metallurgy
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Sensitivity analysis of efficiency and Malmquist productivity indices: An application to Spanish savings banks

2008

Hypothesis testing and statistical precision in the context of non-parametric efficiency and productivity measurement have been investigated since the early 1990s. Recent contributions focus on this matter through the use of resampling methods-i.e., bootstrapping techniques. However, empirical evidence is still practically non-existent. This gap is more noticeable in the case of banking efficiency studies, where the literature is immense. In this work, we explore productivity growth and productive efficiency for Spanish savings banks over the (initial) post-deregulation period 1992-1998 using Data Envelopment Analysis (DEA) and bootstrapping techniques. Results show that productivity growth…

Productive efficiencyInformation Systems and ManagementGeneral Computer SciencePartial productivityContext (language use)EfficiencyManagement Science and Operations ResearchIndustrial and Manufacturing EngineeringBankingBootstrapBootstrapping (electronics)Modeling and SimulationData envelopment analysisStatisticsEconomicsEconometricsData envelopment analysisProduction (economics)Empirical evidenceProductivityProductivity
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Horvitz-Thompson estimators for functional data: asymptotic confidence bands and optimal allocation for stratified sampling

2009

When dealing with very large datasets of functional data, survey sampling approaches are useful in order to obtain estimators of simple functional quantities, without being obliged to store all the data. We propose here a Horvitz--Thompson estimator of the mean trajectory. In the context of a superpopulation framework, we prove under mild regularity conditions that we obtain uniformly consistent estimators of the mean function and of its variance function. With additional assumptions on the sampling design we state a functional Central Limit Theorem and deduce asymptotic confidence bands. Stratified sampling is studied in detail, and we also obtain a functional version of the usual optimal …

Statistics and ProbabilityFOS: Computer and information sciencesApplied MathematicsGeneral MathematicsEstimatorSurvey samplingSimple random sampleAgricultural and Biological Sciences (miscellaneous)Statistics - ApplicationsStratified samplingMethodology (stat.ME)Sampling designStatisticsCluster samplingApplications (stat.AP)Statistics Probability and UncertaintyGeneral Agricultural and Biological SciencesBootstrapping (statistics)Statistics - MethodologyMathematicsVariance function
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A Methodology for Bilingual Lexicon Extraction from Comparable Corpora

2015

Dictionary extraction using parallel corpora is well established. However, for many language pairs parallel corpora are a scarce resource which is why in the current work we discuss methods for dictionary extraction from comparable corpora. Hereby the aim is to push the boundaries of current approaches, which typically utilize correlations between co-occurrence patterns across languages, in several ways: 1) Eliminating the need for initial lexicons by using a bootstrapping approach which only requires a few seed translations. 2) Implementing a new approach which first establishes alignments between comparable documents across languages, and then computes cross-lingual alignments between wor…

Text corpusInterlinguaComputer sciencebusiness.industrymedia_common.quotation_subjectBootstrapping (linguistics)computer.software_genrelanguage.human_languageParallel corporaBilingual lexiconResource (project management)languageQuality (business)Artificial intelligencebusinesscomputerWord (computer architecture)Natural language processingmedia_commonProceedings of the Fourth Workshop on Hybrid Approaches to Translation (HyTra)
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Ranking world tourist destinations with a composite indicator of competitiveness: To weigh or not to weigh?

2019

Abstract This paper contributes a weighted composite indicator of competitiveness for 136 world tourist destinations. To that end, Data Envelopment Analysis and Multi-Criteria-Decision-Making techniques are used with raw indicators from the 2017 edition of the Travel & Tourism Competitiveness Report of the World Economic Forum (WEF). An outstanding feature of our approach is that weights are endogenously generated. Furthermore, the role played by several variables in tourism competitiveness is assessed using truncated regression and bootstrapping. The ranking of world tourist destinations produced by our weighted composite indicator of competitiveness is, however, fairly similar to that der…

Truncated regression modelBootstrappingStrategy and Management05 social sciencesTransportationDevelopmentDestinationsComposite indicatorRankingTourism Leisure and Hospitality Management0502 economics and businessData envelopment analysisRegional scienceTourist destinations050211 marketingBusiness050212 sport leisure & tourismTourismTourism Management
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The effect of the Spanish Law of Political Parties (LPP) on the attitude of the Basque Country population towards ETA: A dynamic modelling approach

2013

Abstract In June 2002, the Spanish Government passed the “Law of Political Parties” (LPP) with the aim, among others, of preventing parties giving political support to terrorist organizations. This law affected the Basque nationalist party “Batasuna”, due to its proved relation with ETA. In this paper, taking data from the Euskobarometro (Basque Country survey) related to the attitude of the Basque population towards ETA, we propose a dynamic model for the pre-LPP scenario. This model will be extrapolated to the future in order to predict what would have happened to the attitude of the Basque population if the law had not been passed. These model predictions will be compared to post-LPP dat…

education.field_of_studyGovernmentAttitude dynamicsPopulationBootstrapping (linguistics)Law effectDynamic modellingModellingComputer Science ApplicationsNationalismLaw of Political PartiesPoliticsOrder (exchange)Modelling and SimulationModeling and SimulationLawPolitical scienceTerrorismBootstrappingeducationMATEMATICA APLICADA
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