Mathematica : Mathematica is a powerful computational software platform developed by Wolfram Research. It is used in many fields, including scientific and engineering computing, as well as for creating interactive technical applications and web-based documents. One of the key features of Mathematica is its ability to perform complex symbolic computations, which involves manipulating and simplifying […]

Mathisen’s test : Mathisen’s test is a statistical method used to evaluate the significance of a relationship between two variables. It is often used in the fields of psychology and sociology to determine whether a particular relationship is statistically significant, or if it is simply the result of chance. To understand Mathisen’s test, it is […]

Matching distribution : Matching distribution refers to the process of comparing the distribution of a sample data set to a known distribution, such as a normal distribution, in order to determine if the sample data follows the same pattern. This is often done in statistical analysis in order to make inferences about the population from […]

Matching coefficient : Matching coefficient is a statistical measure that assesses the similarity between two sets of data. It is commonly used in fields such as psychology and sociology to evaluate the degree to which two individuals or groups have similar characteristics or behaviors. One example of using the matching coefficient is in a study […]

Matching : Matching is a common concept used in various fields and contexts. At its core, matching refers to the process of pairing or linking two or more items based on specific criteria or characteristics. This can involve matching people with jobs, matching buyers with sellers, or matching medical treatments with patients. One example of […]

Matched pairs : Matched pairs, also known as matched samples or paired samples, are a type of statistical analysis where two related measurements are taken from the same subjects. These measurements are then compared to determine if there is a significant difference between the two. For example, a researcher may want to determine if a […]

Masking : Masking is a technique used in machine learning to hide certain parts of input data. This is often used to prevent the model from seeing certain information that is not relevant to the task at hand, or to protect sensitive information. For example, suppose we are training a machine learning model to recognize […]

Markov chain : A Markov chain is a mathematical system that undergoes transitions from one state to another according to certain probabilistic rules. The defining characteristic of a Markov chain is that no matter how the system arrived at its current state, the possible future states are fixed. This is known as the “memoryless” property. […]

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 […]