Least absolute deviation regression : Least absolute deviation regression, also known as L1 regression, is a type of regression analysis that minimizes the absolute difference between the observed values and the predicted values. This approach is useful in situations where there are outliers in the data, as it is less sensitive to the effects of […]

Leaps-and-bounds algorithm : The Leaps-and-Bounds algorithm is a search method that uses a combination of linear and binary search techniques to efficiently find a target value within a sorted array. This algorithm is particularly useful when searching for a specific value within a large dataset, as it can significantly reduce the number of steps required […]

Lead Time Bias : Lead time bias is a type of bias that occurs when the estimated survival time of a patient is affected by the length of time it takes for their diagnosis to be confirmed. This bias can result in an overestimation of the survival time for patients with longer lead times, as […]

LDU test : An LDU (Lower Diagonal Unit) test matrix is a matrix with the property that all entries below the main diagonal are zero. In other words, an LDU test matrix is a matrix where all entries a[i,j] are zero, whenever i > j. For example, the following is an LDU matrix: [1 0 […]

Law of likelihood : The law of likelihood is a principle in statistics that states that the likelihood of a hypothesis being true is directly proportional to its prior probability and the degree to which it explains the observed data. This means that a hypothesis with a higher prior probability and a good explanation of […]

Law of large numbers : The law of large numbers states that as the sample size of a random variable increases, the average of the sample approaches the true mean of the population. In other words, the more data we collect, the closer our sample mean will be to the true population mean. For example, […]

Lattice Path : A lattice path is a path that moves only horizontally or vertically on a grid. The path follows the grid lines, meaning it can only move to adjacent cells that share an edge. This type of path is commonly used in combinatorial problems, where the goal is to find the number of […]

Lattice distribution : A lattice distribution is a type of probability distribution that represents the possible outcomes and their corresponding probabilities of a random variable. It is often used in finance and economics to model the behavior of financial assets and the risk associated with their returns. One example of a lattice distribution is the […]

Lattice designs : Lattice designs are a type of geometric pattern that utilizes a grid of intersecting lines to create a repeating design. The lattice design is often used in architecture and decorative arts, and can be seen in a variety of contexts, from wallpaper and textiles to furniture and architecture. One example of a […]

Latin square : A Latin square is a type of mathematical object that is a square grid filled with symbols, such that each row and column contains exactly one of each symbol. For example, consider the following 3×3 square grid: 1 2 3 2 3 1 3 1 2 In this grid, each row and […]