James Heckman is an American economist and Nobel laureate known for his work in the fields of labor economics, family economics, and statistics. He was awarded the Nobel Prize in Economic Sciences in 2000, along with Daniel McFadden, for their development of theories and methods for analyzing selective samples, particularly in relation to the labor market. Heckman is particularly famous for his work on the Heckman correction, a statistical method used to correct for sample selection bias in econometric models.
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.
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.
Susan S. Ellenberg is a prominent American statistician known for her work in the field of biostatistics, particularly in the areas of clinical trials and epidemiology. She has made significant contributions to the design and analysis of clinical studies, focusing on the assessment of treatments and interventions in healthcare settings. Ellenberg has also been involved in various educational initiatives, mentoring students and young professionals in statistics and biostatistics.
Tian Zheng, also known as the "Sky Needle," is a prominent landmark in Beijing, China. It is a part of the Tiananmen Square area and is often associated with the Monument to the People's Heroes and the Great Hall of the People. The name "Tian Zheng" might also refer to other contexts or names, as it can be used in various references in Chinese culture or geography.
Cynthia Rudin is a prominent figure in the fields of machine learning and artificial intelligence, particularly known for her work on interpretable machine learning and its applications in various domains such as healthcare, social sciences, and criminal justice. She has been involved in research that emphasizes the importance of understanding and interpreting the decisions made by machine learning models, as well as ensuring that these models are used ethically and responsibly.
It appears there may be a typo or confusion with the name "Moulinath Banerjee." There isn’t widely known information or notable figures by that exact name as of my last update in October 2023.
Raymond J. Carroll is a prominent statistician and biostatistician known for his contributions to the fields of statistics and biostatistics, particularly in the areas of asymptotic theory, statistical modeling, and statistical methods for epidemiology and clinical trials. He has published extensively on various topics related to statistical theory and applications. Carroll is often recognized for his work on measurement error models, which are important in epidemiology and medicine where accurate measurement of parameters is critical.
As of my last update in October 2023, Regina Liu is not a widely recognized public figure, concept, or brand. It’s possible that Regina Liu could refer to a private individual or a less-known person in a specific field. If you have a particular context in mind—such as a profession or notable achievement—please provide more details, and I would be happy to help!
Ruth King is a prominent statistician known for her work in statistical methodology and applications. She is particularly recognized for her contributions to areas such as design of experiments, statistical modeling, and biostatistics. King has held academic positions and has been involved in various research projects and collaborations across different fields, including healthcare and environmental studies. Her work often emphasizes the importance of understanding statistical principles for making informed decisions based on data.
Vincent Poor is an American engineer and academic recognized for his contributions to electrical engineering, particularly in the areas of wireless communications, statistical signal processing, and related fields. He has held prominent positions at Princeton University, where he has been a professor and has worked on numerous research projects and publications. Poor's work often focuses on the theoretical underpinnings and practical applications of communication systems and has significant implications in both academia and industry.
Jean-Paul Benzécri was a prominent French mathematician and researcher known for his significant contributions to statistical methods and data analysis, particularly in the development of methods for multivariate statistics and data mining. He is particularly recognized for his work in correspondence analysis, a technique for analyzing categorical data, which has wide applications in various fields, including social sciences, linguistics, and market research.
As of my last update in October 2023, the statistical leaders for the Albany Great Danes men's basketball team may include various categories, such as points, rebounds, assists, steals, and blocks, among others. However, the exact numbers and individual players may vary over the years due to ongoing seasons and changes in rosters.
As of my last update in October 2023, the Arkansas State Red Wolves men's basketball program has had various statistical leaders in different categories such as points, rebounds, assists, steals, and blocks. However, specific up-to-date statistics can change frequently with each season. For the most accurate and current information regarding statistical leaders in points, rebounds, assists, etc.
As of my last update in October 2023, here are some of the key statistical leaders for the BYU Cougars men's basketball program: ### Points - **Career Points Leader**: Jimmer Fredette ### Rebounds - **Career Rebounds Leader**: Brandon Davies ### Assists - **Career Assists Leader**: Matt Montague ### Steals - **Career Steals Leader**: Eric Mika ### Blocks - **Career Blocks Leader**:
As of my last update in October 2023, the statistical leaders for the Canisius Golden Griffins men's basketball team may vary depending on the source and the specific statistics being considered (points, rebounds, assists, etc.). Typically, these leaders can include all-time greats from the program's history, as well as recent standout players.
As of my last update in October 2023, the statistical leaders for the Charleston Southern Buccaneers men's basketball program would include top performers in various categories such as points, rebounds, assists, steals, and blocks. However, for the most current and specific statistics, including the latest records and achievements, I recommend checking the official Charleston Southern University athletics website or their current sports statistics database, as records can change with each season.
As of my last knowledge update in October 2023, the DePaul Blue Demons men's basketball statistical leaders can vary based on the specific stats you're interested in, like points, rebounds, assists, steals, and blocks. Historical leaders may include notable players from different eras of the program's history.
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 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. - 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





