Topics (194k) Articles (196k) Users (296) Discussions (237) Comments (383) Files (715) New article
Ruth Pfeiffer is a renowned epidemiologist known for her work in cancer epidemiology, particularly in breast cancer research. She has contributed significantly to understanding the relationship between various factors, such as genetic predisposition and lifestyle choices, and the risk of developing cancer. Pfeiffer has published numerous studies and articles in scientific journals and has been involved in research that utilizes large datasets to examine epidemiological trends.
Roxy Peck is a well-known statistics and data science educator and author. She is recognized for her contributions to the field of statistics education, particularly in the context of developing teaching materials and textbooks. One of her notable works includes co-authoring the book "Stats: Data and Models," which is widely used in statistics courses.
Roberto Bachi is a prominent figure in the field of mathematics, particularly known for his contributions to the theory of numbers, especially in relation to continued fractions and approximation theory. He has published work on various mathematical topics, including number theory and mathematical analysis.
Rebecca Betensky is a prominent figure in the field of statistics, particularly known for her contributions to biostatistics and epidemiology. She has been involved in research concerning statistical methods and their applications in public health and biological sciences. Betensky’s work often focuses on statistical modeling, data analysis, and quantitative methods that help in understanding complex health-related issues.
Ravindra Khattree is a notable figure in the field of statistics and is recognized for his contributions to research and academia. He has published numerous papers and has been involved in various projects related to statistical methodologies, applications, and education.
Ramanathan Gnanadesikan is an American statistician known for his contributions to the field of statistics, particularly in the areas of robust statistics and multivariate analysis. He has worked on various statistical methodologies and is recognized for developing techniques that improve data analysis, especially when dealing with outliers and non-normal distributions. Gnanadesikan is also known for his academic work, including teaching and publishing research in statistical journals.
Philip Dawid is a prominent statistician known for his work in the fields of Bayesian statistics and statistical modeling. He has made significant contributions to the development of methods and theories in statistics, particularly in relation to probabilistic reasoning and the use of Bayesian approaches in various applications. Dawid has also been involved in the academic community, contributing to statistical education and research, and has held key positions in statistical societies and organizations.
Nell Sedransk is a notable figure in the field of mathematics, particularly recognized for her contributions to statistics and the development of statistical methods. She has been involved in various academic positions, including serving as a professor and contributing to the advancement of statistical theory and practice.
Nedret Billor is a prominent figure in the field of mathematics, primarily known for her work in statistics and its applications. She has been involved in various research projects, publications, and academic contributions, particularly in the areas of statistical methodology and education.
Nancy E. Heckman is a notable statistician and professor known for her work in the fields of statistics and biostatistics, particularly in developing statistical methods for health and social sciences research. She has made significant contributions in areas such as missing data, causal inference, and statistical methodology. Heckman is also known for the Heckman selection model, which addresses sample selection bias—an important consideration in econometrics and various fields that rely on observational data.
Nan Laird is an American statistician known for her significant contributions to the fields of biostatistics and statistical methodology, particularly in the context of clinical trials and epidemiology. She has been influential in developing statistical techniques for analyzing data from complex studies and has authored numerous papers and books in the field. Laird has held academic positions and has been involved with various professional organizations related to statistics and biostatistics.
Nalini Ravishanker is a name associated with various contexts, but one notable individual by that name is a prominent statistician and academic known for her contributions to the field of statistics, particularly in areas such as statistical modeling and data analysis. She has also been involved in promoting statistical education and research.
As of my last update in October 2023, there isn't a widely recognized figure or concept named "Naisyin Wang" in popular culture, science, or other well-known fields. It's possible that you may be referring to an emerging individual, organization, or term that has gained prominence after that date. Alternatively, it could be a misspelling or a lesser-known reference.
Murray Aitkin is a prominent statistician known for his contributions to statistical methodology, particularly in the fields of Bayesian statistics and psychometrics. His work often focuses on topics such as model selection, hierarchical models, and the development of statistical software. Aitkin has authored numerous papers and has been involved in the application of statistical methods to various fields, including social sciences and health research.
Montserrat Fuentes is a name that could refer to a few different people or contexts, depending on the area of interest (e.g., academia, literature, etc.). However, one prominent figure associated with this name is Montserrat Fuentes, a statistician and academic known for her work in the field of statistics and biostatistics. She might be involved in research, teaching at a university, or contributing to statistical methodologies.
Mikyoung Jun is an acclaimed landscape architect and designer known for her innovative approach to integrating landscape architecture with urban design and community engagement. She is the founder of Mikyoung Jun Design, a firm that focuses on creating sustainable and dynamic public spaces. Her work often emphasizes the relationship between nature, urban environments, and social interactions, incorporating elements such as water, natural materials, and native plantings.
Michael Ward is an economist known for his work on various economic issues, including those related to international trade, economic development, and policy analysis. He may have authored several papers and articles or contributed to discussions in the field of economics, but specific details about his contributions and impact would depend on the context or sub-field of economics you are interested in.
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





