Search results
Results From The WOW.Com Content Network
Matching is a statistical technique that evaluates the effect of a treatment by comparing the treated and the non-treated units in an observational study or quasi-experiment (i.e. when the treatment is not randomly assigned).
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.
Indirect inference is a simulation-based method for estimating the parameters of economic models. [ 1 ] [ 2 ] It is a computational method for determining acceptable macroeconomic model parameters in circumstances where the available data is too voluminous or unsuitable for formal modeling.
Instead, they try to mimic the index and match its returns over time. And investors can use index funds and ETFs as a passive investment strategy. For instance, you may have an employer-sponsored ...
Different sources of trade data may provide more or less complete data coverage, and more or less detail: reported vs. mirrored: One key distinction in trade data is between the reporting country (the country that provides data) and the partner country (the country listed as an export partner or import partner in the data provided by a reporting country).
This index uses the arithmetic average of the current and based period quantities for weighting. It is considered a pseudo-superlative formula and is symmetric. [12] The use of the Marshall-Edgeworth index can be problematic in cases such as a comparison of the price level of a large country to a small one.
Sample of a well maintained data [clarification needed]. In statistics and research design, an index is a composite statistic – a measure of changes in a representative group of individual data points, or in other words, a compound measure that aggregates multiple indicators.
For data requests that fall between the table's samples, an interpolation algorithm can generate reasonable approximations by averaging nearby samples." [8] In data analysis applications, such as image processing, a lookup table (LUT) can be used to transform the input data into a more desirable output format. For example, a grayscale picture ...