Eduardo Schwartz is not a widely recognized public figure or term in popular culture, science, or literature, based on the information available up to October 2023. It is possible that he could refer to a private individual, a professional in a specific field, or someone who has gained prominence more recently.
Presidents of statistical organizations typically refer to the elected or appointed leaders of various national and international statistical bodies. These organizations are dedicated to the collection, analysis, and dissemination of statistical data. Their primary roles include promoting the use of statistics, ensuring data quality, and fostering collaboration among statisticians and other stakeholders. Key examples of statistical organizations and their respective leadership roles include: 1. **International Statistical Institute (ISI)**: The ISI is a professional association of statisticians.
Alison Motsinger-Reif is a notable figure in the field of statistics and bioinformatics. She is recognized for her contributions to statistical methodology, particularly in the areas of genetics and genomics. Motsinger-Reif's work often involves the development and application of statistical models to analyze complex biological data. She has published numerous research papers and is affiliated with academic institutions where she engages in both teaching and research.
Jukka-Pekka Onnela is a Finnish researcher and renowned academic known for his work in the fields of data science, network science, and computational social science. He is particularly recognized for his contributions to understanding the dynamics of social and information networks, as well as developments in statistical methods and machine learning. Onnela has published numerous articles and studies related to complex systems, and his work often emphasizes the application of data-driven approaches to analyze and predict behaviors in social and technological systems.
Curtis L. Meinert is a prominent biostatistician known for his contributions to the field of clinical trials and epidemiology. He has been involved in various research projects and has published extensively on topics related to biostatistics, study design, and the analysis of clinical data. Meinert is recognized for his work on statistical methods that improve the reliability and validity of clinical trial results.
Emma Benn does not seem to refer to a widely recognized public figure, concept, or term as of my last knowledge update in October 2023. It's possible that Emma Benn could refer to a specific individual, character, or a more niche topic that hasn't gained widespread attention.
George Seber is a notable statistician known for his work in the fields of statistics, particularly in relation to ecological and biological applications. He has made significant contributions to statistical theory and methods, including the development of techniques for estimating population sizes and studying animal populations. Seber is well-known for his authorship of several key texts and papers in statistics and biometrics.
"Hongmei Zhang" can refer to a few different things depending on the context. As a name, it could refer to individuals, as it's a common Chinese name. In a broader context, it could relate to cultural, historical, or artistic topics within Chinese society. If you are referring to a specific person, event, or concept, could you please provide more details? This will help me provide a more accurate and relevant explanation.
James Robins is a prominent statistician and epidemiologist known for his work in causal inference and the development of methodologies in epidemiology. He has made significant contributions in areas such as statistical modeling, the analysis of observational data, and the understanding of causal relationships in health research. Robins is associated with the concept of "causal diagrams" and the development of techniques for handling confounding variables and missing data in epidemiological studies.
John Carlin is a professor known for his work in the field of mathematics and statistics, particularly in the areas of probability and statistical theory. His research often involves the development of statistical methods and applications in various scientific fields. If you are looking for a specific John Carlin or particular details about his contributions, please provide more context or specify the domain (e.g., education, specific research topics).
Lorin Crawford is a prominent statistician and researcher known for his work in the fields of statistics and bioinformatics, particularly in relation to the analysis of genomic data. He has been involved in developing statistical methods for understanding complex biological systems and for interpreting large-scale biological datasets, which is crucial in areas such as cancer research and personalized medicine. Crawford has also had contributions to various statistical methodologies, including those related to machine learning and data science.
Richard Doll was a prominent British epidemiologist best known for his groundbreaking research on the link between smoking and lung cancer. Born on October 2, 1912, and passing away on July 24, 2005, Doll significantly contributed to public health through his work. He conducted influential studies in the 1950s, which provided strong evidence that smoking was a major cause of lung cancer, fundamentally changing public perception and leading to smoking cessation campaigns and tobacco regulation.
A sterile neutrino is a hypothetical type of neutrino that does not interact via the standard weak interactions like the three known types of neutrinos: electron neutrinos, muon neutrinos, and tau neutrinos. Instead, sterile neutrinos are proposed to interact only through gravity and possibly via mixing with active neutrinos, making them "sterile" because they do not participate in the weak force.
DFTB stands for Density Functional Tight Binding. It is a computational method used in quantum chemistry and solid-state physics to study the electronic structure of materials. DFTB is an approximate method that simplifies the calculations associated with Density Functional Theory (DFT) by combining aspects of tight-binding models with density functional approximations.
William Farr (1807-1883) was a prominent English statistician and epidemiologist, often regarded as one of the founders of medical statistics. He is best known for his work in the development of vital statistics and for his contributions to understanding the relationship between health and environment. Farr played a key role in establishing methods for collecting and analyzing health data, such as mortality statistics, which were crucial for public health planning and policy.
Survey methodologists are specialists who focus on the design, implementation, and analysis of surveys. They employ statistical principles and research methodologies to ensure that data collected through surveys are reliable, valid, and representative of the population being studied. Their work involves several key areas: 1. **Survey Design**: This includes selecting appropriate methodologies (e.g., online surveys, telephone interviews, face-to-face interviews) and developing effective questionnaires that minimize bias and lead to high-quality data collection.
Cassini's laws refer to a set of three mathematical descriptions regarding the motion of a body in an orbit around another body, specifically in the context of a rotating body and its satellite. These laws are particularly relevant to the motion of the moons of planets, such as the Earth-Moon system or the various moons of Saturn, which were studied extensively by Giovanni Domenico Cassini in the late 17th century.
Maeve McCarthy could refer to various individuals or concepts, as it is not a unique name. Without more context, it is challenging to pinpoint a specific person or subject.

Pinned article: Introduction to the OurBigBook Project

Welcome to the OurBigBook Project! Our goal is to create the perfect publishing platform for STEM subjects, and get university-level students to write the best free STEM tutorials ever.
Everyone is welcome to create an account and play with the site: ourbigbook.com/go/register. We belive that students themselves can write amazing tutorials, but teachers are welcome too. You can write about anything you want, it doesn't have to be STEM or even educational. Silly test content is very welcome and you won't be penalized in any way. Just keep it legal!
We have two killer features:
  1. topics: topics group articles by different users with the same title, e.g. here is the topic for the "Fundamental Theorem of Calculus" ourbigbook.com/go/topic/fundamental-theorem-of-calculus
    Articles of different users are sorted by upvote within each article page. This feature is a bit like:
    • a Wikipedia where each user can have their own version of each article
    • a Q&A website like Stack Overflow, where multiple people can give their views on a given topic, and the best ones are sorted by upvote. Except you don't need to wait for someone to ask first, and any topic goes, no matter how narrow or broad
    This feature makes it possible for readers to find better explanations of any topic created by other writers. And it allows writers to create an explanation in a place that readers might actually find it.
    Figure 1.
    Screenshot of the "Derivative" topic page
    . View it live at: ourbigbook.com/go/topic/derivative
  2. local editing: you can store all your personal knowledge base content locally in a plaintext markup format that can be edited locally and published either:
    This way you can be sure that even if OurBigBook.com were to go down one day (which we have no plans to do as it is quite cheap to host!), your content will still be perfectly readable as a static site.
    Figure 2.
    You can publish local OurBigBook lightweight markup files to either https://OurBigBook.com or as a static website
    .
    Figure 3.
    Visual Studio Code extension installation
    .
    Figure 4.
    Visual Studio Code extension tree navigation
    .
    Figure 5.
    Web editor
    . You can also edit articles on the Web editor without installing anything locally.
    Video 3.
    Edit locally and publish demo
    . Source. This shows editing OurBigBook Markup and publishing it using the Visual Studio Code extension.
    Video 4.
    OurBigBook Visual Studio Code extension editing and navigation demo
    . Source.
  3. https://raw.githubusercontent.com/ourbigbook/ourbigbook-media/master/feature/x/hilbert-space-arrow.png
  4. Infinitely deep tables of contents:
    Figure 6.
    Dynamic article tree with infinitely deep table of contents
    .
    Descendant pages can also show up as toplevel e.g.: ourbigbook.com/cirosantilli/chordate-subclade
All our software is open source and hosted at: github.com/ourbigbook/ourbigbook
Further documentation can be found at: docs.ourbigbook.com
Feel free to reach our to us for any help or suggestions: docs.ourbigbook.com/#contact