Lancaster Models
Lancaster Models : Lancaster Models is a mathematical model used to analyze and predict the joint distribution of multiple variables. This model assumes that the variables are interdependent and that the relationship between them can be described by a set of equations. One example of Lancaster Models joint distribution is in the field of finance. […]
Lagrange multipliers
Lagrange multipliers : Lagrange multipliers are a mathematical tool used to find the maximum or minimum value of a function subject to constraints. Essentially, they allow us to find the optimal solution to a problem by combining multiple equations and constraints. For example, let’s say we have a rectangular field that we want to fence […]
Lagging indicators
Lagging indicators : Lagging indicators are economic indicators that tend to change after the economy has already begun to follow a particular pattern or trend. These indicators are typically used to confirm or validate a given trend, rather than to predict future economic activity. Examples of lagging indicators include the unemployment rate and the inflation […]
Kurtosis
Kurtosis : Kurtosis is a statistical measure that describes the shape of a distribution. It is defined as the degree of peakedness or flatness of a distribution relative to the normal distribution. There are two types of kurtosis: excess kurtosis and normal kurtosis. Excess kurtosis is a measure of the amount of peakedness or flatness […]
Kubernetes (k8s)
Kubernetes (k8s) : Kubernetes, also known as k8s, is an open-source platform that is used to automate the deployment, scaling, and management of containerized applications. It is a popular choice for organizations that want to run their applications in the cloud or on-premises, as it provides a consistent and reliable way to manage and orchestrate […]
Kruskal-Wallis test
Kruskal-Wallis test : The Kruskal-Wallis test is a non-parametric statistical test used to determine if there are significant differences among the median ranks of several groups. Unlike the parametric ANOVA test, which assumes a normal distribution of the data, the Kruskal-Wallis test does not assume any specific distribution of the data and can be used […]
Kriging
Kriging : Kriging is a spatial interpolation technique used in geostatistics to estimate the value of a variable at a given location based on its observed values at neighboring locations. It is a type of spatial prediction that accounts for spatial autocorrelation, the tendency of nearby locations to have similar values, in order to provide […]
K-Nearest Neighbors (KNN)
K-Nearest Neighbors (KNN) : K-Nearest Neighbors, or KNN, is a classification algorithm used in machine learning. It is a non-parametric and lazy learning algorithm, meaning it does not make any assumptions about the underlying data distribution and does not require any prior training. In KNN, the idea is to find the “k” nearest data points […]
Knowledge discovery in data bases KDD
Knowledge discovery in data bases KDD : Knowledge discovery in databases (KDD) is the process of discovering useful information and patterns in data sets. It is a multidisciplinary field that uses techniques from statistics, machine learning, and data mining to extract knowledge from data. KDD involves several steps, including data cleaning and preprocessing, feature selection […]
K-means inverse regression
K-means inverse regression : K-means inverse regression is a method of dimension reduction that is often used in data mining and machine learning. It is based on the idea of clustering data points into a set of K clusters, and then using inverse regression to map each cluster to a low-dimensional subspace. For example, consider […]