Coarsening at random refers to a technique used to reduce the complexity of a problem by randomly selecting an area or segment of it and replacing it with a simpler version. This is done in order to reduce the size of a problem, making it easier to solve or analyze. For example, in graph theory, […]

Canonical Correlation Analysis (CCA) is a multivariate statistical technique used to uncover the linear relationship between two sets of variables. It is used to explore the correlation between two or more sets of variates and identify which variates contribute most highly to the correlation among all variables. CCA seeks to maximize the correlation between two […]

BMI is an index defined as weight in kilograms divided by the square of height in meters. An individual with a value less than 20 is generally regarded as underweight, while one with a value over 25 is overweight.  Uses of BMI Body mass index (BMI) is a measure used to assess an individual’s body […]

Analytical categories are the different methods used to organize data into meaningful and useful insights. This can be done in a variety of ways, such as through qualitative analysis or quantitative analysis.  Ways To Organize Data For Analysis Qualitative analysis involves using focus groups, interviews, surveys, and other methods to look at data from a […]

Activation classification is a process used in machine learning and data analysis to determine the level of activity or engagement associated with a particular event or entity. It involves analyzing various characteristics of the event or entity, such as the frequency and duration of occurrences, and identifying patterns that can be used to predict future […]

Accelerated life testing (ALT) is a type of testing used to predict the reliability and lifetime of a product within a shorter period of time. The purpose of this testing is to subject a device or product to extreme conditions in order to determine its ability to withstand harsh environments, and to determine its useful […]

The accelerated failure time model (AFT) is a statistical analysis method used to model the time until an event of interest occurs.  The AFT model finds an association between the response variable with the survival timing. In this case, the response variable is found by taking the logarithm of the survival time, and it contains […]

Absorbing Markov chains are a specific type of Markov chain where at least one state cannot transition to any other state outside of itself. This means that the chain will eventually reach this state and become “absorbed” into it, unable to move to any other states. Moreover, A state of a Markov chain is absorbing […]

The concept of absolute error is fundamental in the field of statistics and measurement. It refers to the difference between the observed value of a variable and its true value, or in other words, the degree of accuracy or precision of the measurements taken. This error can be positive or negative, depending on whether the […]

The term “absolute difference” refers to the mathematical concept of finding the positive difference between two numbers or values, regardless of their order. The difference, taken without regard to sign, between the values of two variables or random variables. It is commonly referred to as the difference between two real numbers before any treatment is […]