Jie Chen is a well-known statistician recognized for his contributions to various fields within statistics, particularly in areas such as statistical modeling, machine learning, and data analysis. His work often focuses on the development of new statistical methodologies and algorithms that can be applied across different domains, including bioinformatics, environmental studies, and market research.
Jill DeMatteis is not widely recognized in popular culture or history based on the information available up to 2023, so it is possible that she is not a public figure or that she may be known in a specific niche or community.
Jill Dever is not widely recognized in popular public discourse or notable contexts up until my last update in October 2023. It is possible that she is a private individual, a fictional character, or a person who has gained recognition after that date.
Josée Dupuis may refer to different individuals, but there is no widely recognized figure specifically known by that name as of my last knowledge update in October 2021. It is possible that she could refer to a private person, a fictional character, or a professional in fields such as academia, arts, or business.
Judith D. Singer is a prominent statistician and educator best known for her work in the fields of statistics and education. She has contributed significantly to the development of statistical methodologies, particularly in the area of longitudinal data analysis and multilevel modeling. Singer has also focused on the application of statistical techniques in the field of education, working on projects that analyze educational outcomes and improve teaching and learning practices.
Judith T. Lessler is a notable figure in the field of public health and research, particularly known for her contributions to survey methodology and research design. She has worked with various organizations, including the National Institutes of Health (NIH) and the National Institute of Allergy and Infectious Diseases (NIAID). Lessler's work often focuses on the design and analysis of complex surveys, statistical methods, and their applications in health research.
Julia Cagé is a French economist and academic known for her work in the fields of economics, political economy, and public policy. She has contributed to discussions on a range of topics, including media economics, economic inequality, and the impact of digital technology on markets and society. Cagé has published research on the influence of media in democracy and the economics of information, exploring how these factors affect public opinion and policy-making.
Julie Ivy is a professional known primarily for her work in the field of industrial and systems engineering. She is a faculty member at North Carolina State University, where she conducts research and teaches courses related to optimization, decision-making, and operations research. Ivy's work often intersects with healthcare systems, focusing on improving processes and outcomes within that domain.
"Jun Zhu" can refer to various things, but it is commonly known as a name in Chinese culture. In Chinese, "Jun" (君) can mean "gentleman," "lord," or "ruler," while "Zhu" (朱) is often a surname or can mean "vermilion" or "red." Depending on the context, it could refer to a person, a character in literature, or even a term used in certain cultural contexts.
Karen Dunnell is known as a professional in the field of economics and public policy, particularly recognized for her work in labor economics and public sector consulting. However, it's important to note that "Karen Dunnell" may refer to different individuals or entities depending on the context.
Katarina Juselius is a prominent Finnish econometrician known for her work in economic modeling and time series analysis. She is particularly recognized for her contributions to the development of the cointegration theory and its applications in economics. Juselius has also been involved in research on the methodology of structural econometric modeling, which examines the relationships between economic variables over time. Her influential work includes the development of the so-called "Juselius model," which is used in analyzing and forecasting economic data.
Marie D. Eldridge is not a widely recognized public figure, historical figure, or entity in general knowledge up to October 2023. It’s possible that she could be a private individual, or the name might refer to someone specific within a local context, industry, or academic field not broadly documented. Can you provide more context or specify the area in which you are inquiring about Marie D. Eldridge? This would help in providing a more accurate and relevant answer.
Lila Knudsen Randolph doesn't appear to be a widely recognized public figure, event, or concept within the context of common knowledge. It's possible that she could be a private individual or a person who became notable after my last knowledge update in October 2021.
Linda Williams Pickle is a notable American academic and author who is recognized for her contributions to the field of communication studies, particularly in media studies and feminist theory. She has written extensively on topics related to film, television, and popular culture. Her work often explores the intersection of gender and media, and she has contributed significantly to discussions around representation and the impact of media on societal perceptions of gender and identity.
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!
Intro to OurBigBook
. Source. We have two killer features:
- 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-calculusArticles 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/derivativeVideo 2. OurBigBook Web topics demo. Source. - 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.
- to OurBigBook.com to get awesome multi-user features like topics and likes
- as HTML files to a static website, which you can host yourself for free on many external providers like GitHub Pages, and remain in full control
Figure 2. You can publish local OurBigBook lightweight markup files to either OurBigBook.com or as a static website.Figure 3. Visual Studio Code extension installation.Figure 5. . 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. - Infinitely deep tables of contents:
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