linear effect
1Linear least squares — is an important computational problem, that arises primarily in applications when it is desired to fit a linear mathematical model to measurements obtained from experiments. The goals of linear least squares are to extract predictions from the… …
2Linear least squares/Proposed — Linear least squares is an important computational problem, that arises primarily in applications when it is desired to fit a linear mathematical model to observations obtained from experiments. Mathematically, it can be stated as the problem of… …
3Linear immunoglobulin A dermatosis — Linear IgA dermatosis is a very rare autoimmune blistering disorder, which manifests via blistering of the skin and the mucous membranes. An autoimmune disorder is a malfunction of the body s immune system causing the body to attack its own… …
4Linear discriminant analysis — (LDA) and the related Fisher s linear discriminant are methods used in statistics, pattern recognition and machine learning to find a linear combination of features which characterize or separate two or more classes of objects or events. The… …
5Linear scheduling method — (LSM) is a graphical scheduling method focusing on continuous resource utilization in repetitive activities. It is believed that it originally adopted the idea of Line Of Balance method.LSM is used mainly in construction industry to schedule… …
6Linear timecode — Linear (or Longitudinal) Timecode (LTC) encodes SMPTE timecode data as a Manchester Biphase encoded audio signal. The audio signal is commonly recorded on a VTR track or other storage media. Each frame is terminated by a sync word which has a… …
7linear — [lin′ē ər] adj. [L linearis] 1. of or relating to a line or lines 2. made of or using lines [linear design] 3. in relation to length only; extended in a line 4. designating or of a style of art in which forms are sharply delineated and line is… …
8Linear regression — Example of simple linear regression, which has one independent variable In statistics, linear regression is an approach to modeling the relationship between a scalar variable y and one or more explanatory variables denoted X. The case of one… …
9Effect size — In statistics, an effect size is a measure of the strength of the relationship between two variables in a statistical population, or a sample based estimate of that quantity. An effect size calculated from data is a descriptive statistic that… …
10Linear canonical transformation — Paraxial optical systems implemented entirely with thin lenses and propagation through free space and/or graded index (GRIN) media, are Quadratic Phase Systems (QPS). The effect of any arbitrary QPS on an input wavefield can be described using… …
