Local dependence function : Local dependence functions are used in machine learning to determine the relationship between input variables and their corresponding outputs. These functions are often used to model complex data sets and make predictions about future outcomes. One example of a local dependence function is the k-nearest neighbors algorithm. This algorithm is used […]

Linked Micromap Plot : A linked micromap plot is a visualization tool that is used to display multiple related datasets in a single visual representation. This type of plot is particularly useful for displaying complex relationships between different data sets, and is often used in the field of data analysis to help analysts and researchers […]

Linkage analysis : Linkage analysis is a method used in genetics to identify the chromosomal location of a gene or group of genes associated with a particular trait or disease. This is done by examining the inheritance patterns of a trait or disease in a family or population and comparing it to known genetic markers […]

Line-intersect sampling : Line-intersect sampling is a sampling method used in ecology and environmental science to assess the abundance and distribution of vegetation, wildlife, and other organisms within a particular area. This method involves establishing a series of straight lines, or transects, across the study area and recording the number of times the lines intersect […]

Linear transformation : Linear transformations are mathematical operations that preserve the linearity of a function. In other words, they maintain the relationship between the input and output of a function, such that the output of a linear transformation can be represented as a linear combination of the inputs. There are two common examples of linear […]

Linear Regression : Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables. In other words, it is used to predict the value of a dependent variable based on the values of one or more independent variables. For example, let’s say we want to […]

Linear model : Linear model is a mathematical model that represents the relationship between a dependent variable and one or more independent variables by using a linear equation. This model assumes that the relationship between the dependent and independent variables is linear, which means that the change in the dependent variable is directly proportional to […]

Linearizing : Linearizing is a mathematical method used to approximate a non-linear function with a linear one. This can be useful in situations where a non-linear function is difficult to work with, or when a linear approximation is desired for simplicity or ease of calculation. One common example of linearizing is with the exponential function. […]

Linear estimator : A linear estimator is a mathematical model that is used to predict the value of a dependent variable (also known as the output variable) based on one or more independent variables (also known as the input variables). This type of model is called a “linear” estimator because it makes predictions using a […]

What is Linear-by-linear association test ? The linear-by-linear association test is a statistical method used to assess the relationship between two categorical variables. It is a type of chi-squared test that examines whether the observed frequency distribution of the two variables differs significantly from the expected frequency distribution under the assumption of independence. One example of […]