Joachim Engel

ORCID: 0000-0002-8251-6670
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About
Contact & Profiles
Research Areas
  • Statistics Education and Methodologies
  • Data Analysis with R
  • Mathematics Education and Teaching Techniques
  • Statistical Methods and Inference
  • Probability and Statistical Research
  • Control Systems and Identification
  • Physics and Engineering Research Articles
  • Education Methods and Technologies
  • Advanced Statistical Methods and Models
  • Advanced Numerical Analysis Techniques
  • History and Theory of Mathematics
  • COVID-19 epidemiological studies
  • Educational Assessment and Pedagogy
  • Polynomial and algebraic computation
  • Sociology and Education Studies
  • Sports Science and Education
  • Innovative Teaching Methodologies in Social Sciences
  • Cognitive and developmental aspects of mathematical skills
  • Image and Signal Denoising Methods
  • Gaussian Processes and Bayesian Inference
  • Decision-Making and Behavioral Economics
  • Neural Networks and Applications
  • School Choice and Performance
  • Big Data and Business Intelligence
  • Forest ecology and management

Ludwigsburg University of Education
2016-2025

University of Education
2016

Deutsche Nationalbibliothek
2016

University of Education, Winneba
2011

Leibniz University Hannover
2005-2006

Heidelberg University
1990-1998

Pedagogical University
1998

University of Bonn
1993-1995

Konrad-Adenauer-Stiftung
1995

University of Michigan
1990

Data are abundant, quantitative information about the state of society and wider world is around us more than ever. Paradoxically, recent trends in public discourse point towards a post-factual that seems content to ignore or misrepresent empirical evidence. As statistics educators we challenged promote understanding society. In order re-root debate be based on facts instead emotions evidence-based policy decisions, education needs embrace two areas widely neglected secondary tertiary...

10.52041/serj.v16i1.213 article EN Statistics Education Research Journal 2017-05-31

Children typically learn basic numerical and arithmetic principles using finger-based representations. However, whether or not reliance on representations is beneficial detrimental the subject of an ongoing debate between researchers in neurocognition mathematics education. From neurocognitive perspective, finger counting provides multisensory input, which conveys both cardinal ordinal aspects numbers. Recent data indicate that children with good show better skills training gnosis, "finger...

10.3389/fpsyg.2011.00328 article EN cc-by Frontiers in Psychology 2011-01-01

A pandemic poses particular challenges to decision-making because of the need continuously adapt decisions rapidly changing evidence and available data. For example, which countermeasures are appropriate at a stage pandemic? How can severity be measured? What is effect vaccination in population groups should vaccinated first? The process starts with data collection modeling continues dissemination results subsequent taken. goal this paper give an overview provide recommendations for...

10.1007/s10182-022-00439-7 article EN cc-by AStA Advances in Statistical Analysis 2022-04-07

Given data from a sample of noisy curves, we consider nonlinear parametric regression model with unknown function. An iterative algorithm for estimating individual parameters as well the function is introduced under assumption certain shape invariance: curves are obtained common by linear transformations axes. Our based on least-squares methods parameter estimation and nonparametric kernel curve estimation. Asymptotic distributions derived estimators estimator application to human growth...

10.1214/aos/1176324535 article EN The Annals of Statistics 1995-04-01

Data science as a practical has been conceived to address tangible problems in science, technology and society. Educating students data goes beyond teaching about algorithms, skills of manipulating sets, selecting applying appropriate analyses, creating interpreting visual representations data. It also involves raising critical understanding how are produced they can be used for particular purposes, including the role context emphasizes developing an awareness ethics, considering...

10.37001/9m3yf832 article EN Revista Internacional de Pesquisa em Educação Matemática 2025-02-20

Data science as a practical has been conceived to address tangible problems in science, technology and society. Educating students data goes beyond teaching about algorithms, skills of manipulating sets, selecting applying appropriate analyses, creating interpreting visual representations data. It also involves raising critical understanding how are produced they can be used for particular purposes, including the role context emphasizes developing an awareness ethics, considering...

10.37001/ripem.v14i3.4482 article EN Revista Internacional de Pesquisa em Educação Matemática 2025-02-20

10.1080/15512169.2025.2483786 article EN Journal of Political Science Education 2025-04-08

Abstract Naive implementations of local polynomial fits and kernel estimators require almost O(n 2) operations. In this article two fast O(n) algorithms for nonparametric fitting are presented. They based on updating normal equations. Numerical stability is guaranteed by controlling ill-conditioned situations small bandwidths data-tuned restarting the procedure. Restarting at every output point results in a moderately but highly stable 7/5) algorithm. Applicability evaluated estimation...

10.1080/10618600.1994.10474638 article EN Journal of Computational and Graphical Statistics 1994-06-01

SUMMARY For two and higher dimensional kernel regression, currently available bandwidth selection procedures are based on cross-validation or related penalizing ideas. However, these techniques have been shown to suffer from high sample variability and, in addition, can sometimes be difficult implement when a vector of bandwidths needs selected. In this paper we propose selector an iterative plug-in approach for bivariate regression. It is give satisfactory results quickly computed. Our...

10.1111/j.2517-6161.1995.tb02022.x article EN Journal of the Royal Statistical Society Series B (Statistical Methodology) 1995-01-01

A bandwidth selection rule which proved to be useful and effective for nonparametric kernel regression is modified suitable estimation of a density its derivatives. Various versions the are considered. Theoretical properties derived. simulation study compares finite-sample behavior with that other selectors.

10.1080/10485259408832598 article EN Journal of nonparametric statistics 1994-01-01

For kernel regression estimation a weighting scheme due to Nadaraya and Watson has been associated with random design, convolution type fixed design. Based on integrated mean square error, none of the estimators is uniformly optimal in either However, weights are minimax optimal. Further advantages this estimator can be seen structure bias.

10.1093/biomet/77.2.377 article EN Biometrika 1990-01-01

Zusammenfassung Demokratie lebt von Argumenten, die auf nachweisbaren Fakten basieren. Lebendige Demokratien brauchen gut informierte Bürger, relevante gesellschaftliche Fragen verstehen, diskutieren und sich in öffentliche Entscheidungsprozesse einbringen können. Dieser Aufsatz stellt Erweiterung Statistical Literacy eine Teildisziplin vor, wir Zivilstatistik nennen. konzentriert das Verstehen statistischer Informationen über Gesellschaft, wie sie den Medien, Statistikämtern anderen...

10.1007/s11943-019-00260-w article DE cc-by AStA Wirtschafts- und Sozialstatistisches Archiv 2019-11-01

10.1016/j.compedu.2006.02.009 article EN Computers & Education 2006-04-19
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