Search results
Results From The WOW.Com Content Network
This matching may be assessed in the lung as a whole, or in individual or in sub-groups of gas-exchanging units in the lung. On the other side Ventilation-perfusion mismatch is the term used when the ventilation and the perfusion of a gas exchanging unit are not matched. The actual values in the lung vary depending on the position within the lung.
Vector quantization (VQ) is a classical quantization technique from signal processing that allows the modeling of probability density functions by the distribution of prototype vectors. Developed in the early 1980s by Robert M. Gray , it was originally used for data compression .
In marketing, segmenting, targeting and positioning (STP) is a framework that implements market segmentation. [1] Market segmentation is a process, in which groups of buyers within a market are divided and profiled according to a range of variables, which determine the market characteristics and tendencies. [ 2 ]
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).
Marketing mix modeling (MMM) is an analytical approach that uses historic information to quantify impact of marketing activities on sales. Example information that can be used are syndicated point-of-sale data (aggregated collection of product retail sales activity across a chosen set of parameters, like category of product or geographic market) and companies’ internal data.
Perceptual maps can also be used to help keep track of how a new product, such as a recently introduced smartphone, is being viewed in a specific market. It is important to see that the way a business is marketing its product is not only successful, but successful in a manner that aligns with the business’s overarching goal for positioning.
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.
RFM is a method used for analyzing customer value and segmenting customers which is commonly used in database marketing and direct marketing. It has received particular attention in the retail and professional services industries. [1] RFM stands for the three dimensions: Recency – How recently did the customer purchase?