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  2. Bootstrapping (finance) - Wikipedia

    en.wikipedia.org/wiki/Bootstrapping_(finance)

    Here, the term structure of spot returns is recovered from the bond yields by solving for them recursively, by forward substitution: this iterative process is called the bootstrap method. The usefulness of bootstrapping is that using only a few carefully selected zero-coupon products, it becomes possible to derive par swap rates (forward and ...

  3. Bootstrap (front-end framework) - Wikipedia

    en.wikipedia.org/wiki/Bootstrap_(front-end...

    Bootstrap (formerly Twitter Bootstrap) is a free and open-source CSS framework directed at responsive, mobile-first front-end web development. It contains HTML, CSS and (optionally) JavaScript -based design templates for typography, forms, buttons, navigation, and other interface components. As of May 2023, Bootstrap is the 17th most starred ...

  4. Operation Bootstrap - Wikipedia

    en.wikipedia.org/wiki/Operation_Bootstrap

    According to Virginia Sanchez Korrol from the Center for Puerto Rican Studies, Operation Bootstrap was based on 3 essential elements: “1) industrialization by invitation: the inducement of American corporations to relocate in Puerto Rico in exchange for lucrative tax benefits; (2) a cheap labor pool, educated in the English language and under ...

  5. Bootstrapping (statistics) - Wikipedia

    en.wikipedia.org/wiki/Bootstrapping_(statistics)

    Bootstrapping (statistics) Bootstrapping is a procedure for estimating the distribution of an estimator by resampling (often with replacement) one's data or a model estimated from the data. [1] Bootstrapping assigns measures of accuracy (bias, variance, confidence intervals, prediction error, etc.) to sample estimates. [2][3] This technique ...

  6. Bootstrap aggregating - Wikipedia

    en.wikipedia.org/wiki/Bootstrap_aggregating

    e. Bootstrap aggregating, also called bagging (from b ootstrap agg regat ing), is a machine learning ensemble meta-algorithm designed to improve the stability and accuracy of machine learning algorithms used in statistical classification and regression. It also reduces variance and helps to avoid overfitting.

  7. Bootstrapping populations - Wikipedia

    en.wikipedia.org/wiki/Bootstrapping_populations

    Bootstrapping populations in statistics and mathematics starts with a sample {, …,} observed from a random variable.. When X has a given distribution law with a set of non fixed parameters, we denote with a vector , a parametric inference problem consists of computing suitable values – call them estimates – of these parameters precisely on the basis of the sample.

  8. Controlled-environment agriculture - Wikipedia

    en.wikipedia.org/wiki/Controlled-environment...

    Controlled-environment agriculture. Controlled-environment agriculture (CEA) -- which includes indoor agriculture (IA) and vertical farming —is a technology-based approach toward food production. The aim of CEA is to provide protection from the outdoor elements and maintain optimal growing conditions throughout the development of the crop.

  9. Subsistence agriculture - Wikipedia

    en.wikipedia.org/wiki/Subsistence_agriculture

    Subsistence farmers selling their produce, 2017. Subsistence agriculture occurs when farmers grow crops on smallholdings to meet the needs of themselves and their families. [1] Subsistence agriculturalists target farm output for survival and for mostly local requirements. Planting decisions occur principally with an eye toward what the family ...

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