The NM-method, or Nelder-Mead method, is an optimization technique used for minimizing functions that may not be smooth or derivatives may not be easily computable. It is particularly useful for multidimensional optimization problems. The method is a direct search algorithm, which means it does not require gradient information, making it applicable for non-differentiable functions.
Econometrics is a branch of economics that uses statistical methods and mathematical models to analyze economic data and relationships. The methodology of econometrics involves several key steps that guide researchers in translating economic theories into empirical testing. Here’s an overview of the typical methodology in econometrics: 1. **Formulating the Economic Model**: - This involves defining the economic theory or hypothesis that you want to test. It usually takes the form of a mathematical model that describes the relationships between different economic variables.
Local Average Treatment Effect (LATE) is a concept from causal inference and econometrics that estimates the effect of a treatment or intervention on a specific subset of a population, particularly when the treatment is not applied randomly. LATE is particularly useful in situations where treatment assignment is based on an instrumental variable—a variable that affects treatment assignment but does not directly affect the outcome, except through treatment.
The London School of Economics and Political Science (LSE) has a distinctive approach to econometrics that emphasizes rigorous theoretical foundations while also focusing on practical applications. Here are some key aspects of the LSE approach to econometrics: 1. **Theoretical Framework**: LSE places a strong emphasis on the underlying mathematical and statistical theories that form the basis of econometric methods. Students are encouraged to understand the assumptions and limitations of different econometric techniques.
Interprovincial migration in Canada refers to the movement of individuals or families from one province or territory to another within the country. This type of migration can occur for a variety of reasons, including job opportunities, educational pursuits, lifestyle changes, family reunification, or seeking a different climate or environment. Key points related to interprovincial migration in Canada: 1. **Population Movement**: Interprovincial migration contributes significantly to population changes and demographic patterns across provinces and territories.
Experimetrics refers to the study or application of experimental and statistical methods to evaluate and analyze experiments, particularly in fields like psychology, social sciences, healthcare, and marketing. It often involves the design, implementation, and analysis of experiments to obtain empirical evidence on the effects of various interventions or treatments. In an educational context, it might encompass methods for gauging student performance, understanding learning outcomes, or analyzing instructional techniques.
Eric French is a notable figure in the field of economics, particularly known for his research on various topics such as labor economics, macroeconomics, and applied microeconomics. He has held academic positions, including being a professor at institutions like University College London. His work often involves empirical analysis and he has contributed to our understanding of issues related to income, wages, and labor markets.
Economic voting is a concept in political science that describes how voters' perceptions of and experiences with the economy influence their voting behavior, particularly during elections. The underlying idea is that voters use their evaluations of economic conditions as a key criterion in deciding which candidates or political parties to support.
The Econometric Society is an international organization devoted to the advancement of economic theory in its relation to statistics and mathematics. Founded in 1930 by a group of prominent economists and statisticians, the society aims to promote the study and dissemination of econometrics— the application of statistical and mathematical methods to economic data and economic theories.
Econometrics, while a powerful tool for analyzing economic data and testing economic theories, has faced several criticisms over the years. Here are some of the main criticisms: 1. **Model Specification Errors**: Critics argue that many econometric models are based on incorrect specifications, which can lead to biased or inconsistent estimates. This includes issues such as omitting relevant variables, including irrelevant variables, or assuming incorrect functional forms.
The Center for Operations Research and Econometrics (CORE) is a research center associated with institutions in Belgium, notably with the Université catholique de Louvain (UCLouvain). Established in the late 1980s, CORE focuses on various fields, including operations research, econometrics, applied mathematics, and decision sciences.
The Bry and Boschan routine refers to a statistical algorithm developed by economists Arthur Bry and Charlotte Boschan for identifying business cycle turning points, such as peaks and troughs in economic activity. The routine is designed to analyze economic time series data—typically gross domestic product (GDP) or other economic indicators—to systematically determine when economies enter recessions and recover from them.
"Econometrics stubs" typically refer to short or incomplete articles related to econometrics on platforms like Wikipedia. These stubs contain basic information about a topic but lack detailed content. In the context of Wikipedia, users can expand these stubs by adding more information, references, and context to improve the overall quality and comprehensiveness of the entry. Econometrics itself is a field of economics that applies statistical and mathematical methods to analyze economic data, enabling economists to test hypotheses and forecast future trends.
Econometrics software refers to specialized programs designed to facilitate the analysis of economic data using statistical and mathematical methods. These tools help economists, researchers, and analysts to model economic relationships, test hypotheses, and make forecasts based on empirical data. The software typically includes a range of econometric techniques such as regression analysis, time series analysis, panel data analysis, and causal inference methods.
Econometrics journals are academic publications that focus on the field of econometrics, which is the application of statistical and mathematical theories to economic data to give empirical content to economic relationships. These journals publish research articles that develop or apply econometric models, techniques, and methodologies to analyze economic phenomena. Some key characteristics of econometrics journals include: 1. **Research Focus**: They feature original research papers, review articles, and methodological contributions that advance the science of econometrics and its application in economics.
Econometricians are professionals who specialize in econometrics, which is a branch of economics that applies statistical and mathematical methods to analyze economic data. Their work involves developing models that help understand and quantify relationships among economic variables, testing hypotheses, and forecasting future trends. Econometricians employ various techniques, including regression analysis, time-series analysis, and panel data analysis, to extract meaningful insights from complex data sets.
Econometric modeling is a branch of economics that uses statistical methods and mathematical techniques to analyze economic data. The primary goal of econometric modeling is to test hypotheses, make forecasts, and provide empirical support for economic theories by quantifying relationships between economic variables. Here are some key components and concepts related to econometric modeling: 1. **Economic Theory**: Econometric models are often built upon economic theories that suggest relationships between variables.
Urban evolution refers to the processes and changes in urban areas over time, encompassing the development, transformation, and adaptation of cities and their infrastructures, societies, and economies. It involves multiple dimensions, including: 1. **Physical Development**: Changes in the built environment, including architecture, urban planning, land use, and transportation systems. This can involve the expansion of urban areas, the redevelopment of existing spaces, and the construction of new infrastructure.
Synurbization refers to the process by which certain animal species adapt to and thrive in urban environments. This phenomenon involves changes in behavior, morphology, and ecology that allow these species to exploit the resources and conditions present in urban settings. Common examples of synurbic animals include pigeons, raccoons, and various species of birds and rodents that have successfully modified their lifestyles to live alongside humans.
In ecology, the term "supertramp" refers to a species that excels in colonizing and thriving in disturbed or altered environments. These species are typically highly adaptable, able to quickly take advantage of new opportunities created by disturbances such as natural disasters, human activities, or other changes in the environment.

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