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Quantitative research is a research strategy that focuses on quantifying the collection and analysis of data. [1] It is formed from a deductive approach where emphasis is placed on the testing of theory, shaped by empiricist and positivist philosophies. [1]
Google Scholar is a freely accessible web search engine that indexes the full text or metadata of scholarly literature across an array of publishing formats and disciplines. . Released in beta in November 2004, the Google Scholar index includes peer-reviewed online academic journals and books, conference papers, theses and dissertations, preprints, abstracts, technical reports, and other ...
Quantitative history is a method of historical research that uses quantitative, statistical and computer resources. It is a type of the social science history and has four major journals: Historical Methods (1967– ), Journal of Interdisciplinary History (1968– ), the Social Science History (1976– ), and Cliodynamics: The Journal of Quantitative History and Cultural Evolution (2010– ).
Robert Haugen, (1942–2013) US financial economist and a pioneer in the field of quantitative investing and low-volatility investing. Thomas Ho, author of the Ho–Lee model and key rate duration. John C. Hull, noted for the Hull–White model. Jonathan E. Ingersoll, (born 1949), one of the authors of the Cox–Ingersoll–Ross model of the ...
Credit risk is the possibility of losing a lender holds due to a risk of default on a debt that may arise from a borrower failing to make required payments. [1] In the first resort, the risk is that of the lender and includes lost principal and interest, disruption to cash flows, and increased collection costs.
Quantitative structure–activity relationship models ( QSAR models) are regression or classification models used in the chemical and biological sciences and engineering. Like other regression models, QSAR regression models relate a set of "predictor" variables (X) to the potency of the response variable (Y), while classification QSAR models ...
The approximation of a normal distribution with a Monte Carlo method. Monte Carlo methods, or Monte Carlo experiments, are a broad class of computational algorithms that rely on repeated random sampling to obtain numerical results. The underlying concept is to use randomness to solve problems that might be deterministic in principle.
The term "quantitative analysis" is often used in comparison (or contrast) with "qualitative analysis", which seeks information about the identity or form of substance present. For instance, a chemist might be given an unknown solid sample. They will use "qualitative" techniques (perhaps NMR or IR spectroscopy) to identify the compounds present ...