George W. Snedecor was a prominent statistician known for his contributions to the field of statistics and quality control. He is particularly recognized for authoring the influential textbook "Statistical Methods," first published in 1937. This work has been a key resource in teaching statistics and remains a significant reference in the discipline. Snedecor's efforts in developing statistical techniques and methodologies have had a lasting impact on both academia and various applied fields.
Gopinath Kallianpur is a mathematician known for his contributions to various areas of mathematics, particularly in the fields of functional analysis, topological groups, and the theory of continuous groups. It's worth noting that there might also be place names or other contexts where "Gopinath Kallianpur" could be relevant.
Halbert White is a prominent statistician and econometrician known for his contributions to the fields of econometrics and statistical theory. One of his significant contributions is the development of robust standard errors, which address issues of heteroskedasticity (non-constant variance) in the context of regression analysis. This work is particularly influential in ensuring valid inference in econometric models when the assumptions of traditional ordinary least squares regression are violated.
Richard Samworth is a statistician known for his contributions to the fields of statistical learning and high-dimensional statistics. He has published significant research on topics such as nonparametric statistics, graphical models, and model selection. His work often focuses on developing statistical methods for analyzing complex data structures, particularly in areas where traditional methods may struggle due to high dimensionality or the presence of dependencies among variables.
James Pickands is a mathematician known for his contributions to the fields of probability theory and statistics, particularly in relation to extreme value theory and the theory of random processes. He is well-regarded for his work on the Pickands dependence function, which plays a significant role in multivariate extreme value theory.
Jean D. Gibbons is a prominent figure in genetics and genomics. She is known for her research on the genetic basis of complex traits and diseases, particularly in relation to human health. Gibbons has contributed to the understanding of how genetic variations can influence traits such as susceptibility to diseases, response to therapies, and overall health outcomes. If you have a specific context or details regarding Jean D.
Jerome H. Friedman is a prominent statistician and computer scientist known for his work in the fields of statistics, machine learning, and data mining. He is particularly recognized for his contributions to the development of various statistical techniques and algorithms, including the creation of the "Gradient Boosting Machines" and the "CART" (Classification and Regression Trees) methodology. Friedman has authored numerous influential papers and has contributed to the advancement of predictive modeling and data analysis.
John A. Hartigan is not a widely recognized figure in popular culture, academia, or other well-documented fields up to my knowledge cutoff in October 2023. It is possible that he could be a private individual, a professional in a specific field, or someone who became notable after that date. If you have a specific context or field in mind (like literature, politics, science, etc.
L. H. C. Tippett, also known as Leonard H. C. Tippett, was a British mathematician who made significant contributions to the fields of statistics and probability theory. He is particularly known for his work related to the theory of random processes and stochastic models. Tippett is also recognized for the development of methods for statistical inference and has authored numerous papers and books in the discipline. His work has had a lasting impact on both theoretical and applied statistics.
Leonard Jimmie Savage (1917–1971) was an American statistician and a key figure in the development of decision theory and Bayesian statistics. He is well known for his work in the 1950s and 1960s, particularly for his book "The Foundations of Statistics," published in 1954, which helped to lay the groundwork for the modern interpretation of Bayesian methods.
Maurice Kendall (1907–2007) was a prominent British statistician renowned for his contributions to the field of statistics, particularly in the areas of nonparametric statistics and time series analysis. He is best known for developing several important statistical methodologies and for his work on the Kendall tau rank correlation coefficient, a measure of correlation between two variables that is based on the ranks of their values rather than their actual values.
Nancy Reid can refer to multiple individuals, but one prominent figure with that name is a Canadian statistician. She is known for her work in the field of statistics and her contributions to statistical theory and methods, including areas like nonparametric statistics and empirical processes. Additionally, she has been involved in academic leadership and has held significant positions in various statistical societies.
Nassim Nicholas Taleb is a Lebanese-American essayist, scholar, and former options trader, best known for his works on risk, uncertainty, and the philosophy of probability. He gained significant recognition for his books, particularly "The Black Swan: The Impact of the Highly Improbable," published in 2007, which discusses the occurrence and consequences of rare, unpredictable events that have a major impact on the world.
Norman Lloyd Johnson is a significant figure in the field of mathematics, particularly known for his contributions to statistics and combinatorial designs. He was born on July 3, 1930, and has made influential advancements in areas such as statistical theory, experimental design, and the study of random variables. He is well-regarded for his work on statistical methods and their applications.
Pascal Massart could refer to a few different things, but in the context of notable figures, it is likely referencing a French statistician known for his contributions to the field of statistics, particularly in nonparametric statistics and empirical processes. He has authored various papers and books on statistical theory.
Peter J. Bickel is a prominent statistician known for his contributions to various areas in the field of statistics, particularly in the areas of asymptotic theory, robust statistics, and survival analysis. He has had a significant impact on statistical methodology and applications and has authored and co-authored numerous papers and books on these topics. Bickel has held academic positions, including at the University of California, Berkeley, where he has been involved in both teaching and research.
Sara van de Geer is a prominent figure in the field of statistics, particularly known for her work in statistical science, including areas like high-dimensional statistics and statistical methodology. She has made significant contributions to both theoretical and applied statistics. Van de Geer has also been involved in academia, often holding positions at universities where she educates and mentors students in statistical sciences.
Pinned article: ourbigbook/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