Mu Sigma Rho is a national honor society for students in the fields of statistics and related disciplines, such as mathematics and data science. Established in the United States, it aims to promote academic excellence and foster relationships among students who are passionate about statistical science. The organization recognizes outstanding students who have demonstrated exceptional performance in their academic pursuits and encourages collaboration and networking opportunities within the field.
The Justice Research and Statistics Association (JRSA) is a national organization based in the United States that focuses on the use of research and statistical data to inform and improve the criminal justice system. Founded in 1975, the JRSA serves as a resource for criminal justice researchers, practitioners, and policymakers by facilitating the sharing of information and promoting the use of evidence-based practices.
The Association of Statisticians of American Religious Bodies (ASARB) is an organization that focuses on the collection, analysis, and dissemination of statistical data related to religious organizations and practices in the United States. Founded in 1906, ASARB aims to promote the study of religion through quantitative methods and provides a forum for statisticians, researchers, and scholars who are involved in religious research.
The American Statistical Association (ASA) is a professional association dedicated to the advancement of the practice and profession of statistics. Founded in 1839, the ASA aims to promote the understanding and application of statistical science in various fields. It serves a diverse community of statisticians, data scientists, and practitioners across academia, industry, government, and other organizations.
The American Association for Public Opinion Research (AAPOR) is a professional organization dedicated to the study and practice of public opinion research. Established in 1947, AAPOR aims to promote the responsible use of survey research and improve the quality of data collection and analysis in the field.
The Royal Statistical Society (RSS) is a professional organization based in the United Kingdom that promotes the use and understanding of statistics. Founded in 1834, the RSS serves a wide range of members, including statisticians, data scientists, and researchers across various fields. Its mission is to support the development of statistical science and its application in various areas, including health, social sciences, economics, and industry.
The NHS-wide Clearing Service is an initiative designed to streamline and improve the process of matching healthcare staff, particularly those in difficult-to-fill roles, with available positions across the National Health Service (NHS) in the UK. The service aims to facilitate the recruitment of healthcare professionals by providing a centralized platform where hospitals and health organizations can list vacancies and candidates can apply for roles that align with their skills and qualifications.
The Manchester Statistical Society is a professional organization based in Manchester, UK, dedicated to the advancement of statistics and related fields. Founded in 1833, it serves as a forum for statisticians, data scientists, and individuals interested in statistical methods and their applications. The society typically organizes lectures, seminars, workshops, and social events that allow members to share knowledge, research, and innovations in statistics. The society also aims to promote statistical literacy among the general public and foster collaboration between academics and practitioners.
The term "Information Services Division" can refer to a specific department or branch within an organization, government, or agency that is responsible for managing and delivering information services. The exact role and functions can vary significantly depending on the context. Here are a few common characteristics of an Information Services Division: 1. **Information Management**: They may oversee the collection, storage, processing, and dissemination of information within the organization.
The Higher Education Statistics Agency (HESA) is an organization in the United Kingdom that collects, analyzes, and disseminates data related to higher education. Established in 1993, HESA serves as the primary source of statistical information for universities and higher education providers in the UK, providing insights into various aspects of higher education, including student enrollment, demographic trends, graduate outcomes, and institutional performance.
The Government Statistical Service (GSS) is a partnership of statisticians and organizations within the UK government that works to ensure the production, dissemination, and use of high-quality official statistics. The GSS plays a critical role in providing reliable data to inform policy decisions, support economic and social research, and improve public understanding of statistical information.
The Centre for Statistics in Medicine (CSM) is a research organization based in the United Kingdom that focuses on the application of statistical methods and techniques in medical research. It is often associated with the analysis of clinical trials and other health-related studies, providing guidance on the design, analysis, and interpretation of data from these studies. The CSM aims to improve the quality and transparency of statistical practices in medical research, and it often engages in training, consultancy, and collaborative research projects.
Barb Audiences refers to a service provided by the UK’s Broadcasters' Audience Research Board (BARB), which measures and reports audience viewing figures for television and video content in the United Kingdom. The BARB Audiences platform provides insights into who is watching what, where, and when, offering detailed analytics for broadcasters, advertisers, and content producers.
The Registrar General and Census Commissioner of India is a position critical to the management of demographic data in the country. This role is primarily responsible for conducting the decennial census in India, which is a comprehensive enumeration of the population, along with various other statistical surveys and data collection activities. ### Key Responsibilities: 1. **Census Operations**: The Registrar General and Census Commissioner oversees the planning, execution, and analysis of the national population census.
The National Statistical Commission (NSC) is an institution in India that serves as the apex body for the development and coordination of the statistical system in the country. Established in 2005, its primary objective is to enhance the quality, reliability, and dissemination of official statistics, thus ensuring that data collected and provided by various government agencies is accurate and useful for policymaking and planning. The commission's key functions include: 1. **Formulating policies and guidelines** for statistical activities in the country.
The Ministry of Statistics and Programme Implementation (MoSPI) is a key ministry of the Government of India, responsible for the collection, analysis, and dissemination of statistical data related to the Indian economy and society. Established to improve the quantum and quality of statistics in the country, its main objectives include planning, coordinating, and promoting statistical activities at both national and state levels.
The Economic and Statistical Organisation (ESO) is typically a government agency or institution within a country responsible for collecting, analyzing, and disseminating economic and statistical data. Its primary goals often include: 1. **Data Collection**: Gathering data related to various economic activities, demographic information, employment rates, and other statistical variables that are essential for informed decision-making.
The term "Writer invariant" typically relates to the field of concurrent programming and refers to certain conditions or properties that must be maintained by a writer in a concurrent environment. It primarily focuses on ensuring that data being written or modified by one or more writers remains consistent and valid throughout various operations.
A Word n-gram language model is a statistical language model used in natural language processing (NLP) and computational linguistics to predict the next word in a sequence given the previous words. The "n" in "n-gram" refers to the number of words considered together as a single unit (or "gram").
A Trigram tagger is a type of statistical part-of-speech (POS) tagging model that uses the context of words to determine the most probable grammatical tag for a given word based on the tags of the surrounding words. In this model, the term "trigram" refers to the use of sequences of three items—in this case, tags.

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 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.
  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