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TDA is a powerful program, offering access to some of the latest developments in transition data analysis. STATA has implemented a package to run optimal matching analysis. TraMineR is an open source R -package for analyzing and visualizing states and events sequences, including optimal matching analysis.
Record linkage (also known as data matching, data linkage, entity resolution, and many other terms) is the task of finding records in a data set that refer to the same entity across different data sources (e.g., data files, books, websites, and databases).
It was prominently criticized in economics by Robert LaLonde (1986), [7] who compared estimates of treatment effects from an experiment to comparable estimates produced with matching methods and showed that matching methods are biased. Rajeev Dehejia and Sadek Wahba (1999) reevaluated LaLonde's critique and showed that matching is a good ...
Prediction by partial matching (PPM) is an adaptive statistical data compression technique based on context modeling and prediction. PPM models use a set of previous symbols in the uncompressed symbol stream to predict the next symbol in the stream. PPM algorithms can also be used to cluster data into predicted groupings in cluster analysis.
Data collection or data gathering is the process of gathering and measuring information on targeted variables in an established system, which then enables one to answer relevant questions and evaluate outcomes. Data collection is a research component in all study fields, including physical and social sciences, humanities, [2] and business ...
The creations of these functions can be automated by Haskell's data record syntax. This OCaml example which defines a red–black tree and a function to re-balance it after element insertion shows how to match on a more complex structure generated by a recursive data type. The compiler verifies at compile-time that the list of cases is ...
The local interpretation avoids having to model the number or size of clusters in the collection and allow relevance at multiple scales. Methods in this spirit include: multiple cluster retrieval [6] [8] spreading activation [9] and relevance propagation [10] methods; local document expansion [11] score regularization [12]
Online research methods (11 P) P. Polling (10 C, 33 P) S. ... Pages in category "Data collection in research" The following 9 pages are in this category, out of 9 total.