Market Basket Analysis : Market Basket Analysis is a type of data mining technique that is used to identify the relationship between different products or services that are purchased together. This analysis is typically used by businesses to understand consumer behavior and make better business decisions, such as identifying new product opportunities or optimizing pricing […]

Marginal structural model (MSM) : A marginal structural model (MSM) is a statistical method used in causal inference that allows researchers to estimate the effects of an intervention on a population. This is often done by using data from randomized controlled trials, but can also be applied to observational data. MSMs are used to estimate […]

Marginal homogeneity : Marginal homogeneity is a property of a function that indicates that the marginal value of the function remains constant as the input variables change. In other words, it means that the marginal cost or marginal benefit of a function does not change as the input variables change. For example, consider a company […]

Marginal distribution : Marginal distribution refers to the distribution of a single variable within a data set, as opposed to the joint distribution of two or more variables. This concept is commonly used in statistics and probability to analyze the individual characteristics of a variable and its relationship to the overall data set. One example […]

MapReduce : MapReduce is a programming model and an associated implementation for processing and generating large data sets with a parallel, distributed algorithm on a cluster. It is a framework for writing applications that can process vast amounts of data efficiently in parallel by dividing the data into smaller chunks and processing them concurrently. The […]

Maple : Maple is a popular computer algebra system (CAS) used for solving mathematical problems, performing symbolic computations, and creating interactive technical applications. It is known for its ability to handle a wide range of mathematical operations and its user-friendly interface. One of the key features of Maple is its ability to perform symbolic computations, […]

Mardia’s multivariate normality test : Mardia’s multivariate normality test is a statistical test used to determine whether a sample of multivariate data comes from a normally distributed population. The test is named after the statistician Kanti Mardia, who developed it in the 1970s. To understand the Mardia’s test, it’s first important to understand what it […]

Many-outlier detection procedures : Many-outlier detection procedures are techniques used to identify and remove outliers from a dataset. These procedures are important for ensuring that the results of data analysis are accurate and meaningful. There are many different approaches to many-outlier detection, including the following two examples: Z-score method: This method is based on the […]

Mantel-Haenszel estimator : The Mantel-Haenszel estimator is a statistical method used to estimate the common odds ratio of a binary outcome, such as the likelihood of developing a certain disease, in different populations or subgroups. This method is useful for comparing the effects of different factors, such as age or gender, on the outcome of […]

MANOVA : MANOVA, or Multivariate Analysis of Variance, is a statistical method used to evaluate the relationship between two or more dependent variables and one or more independent variables. This technique is often used in experimental research to determine if there are significant differences between multiple dependent variables based on the levels of the independent […]