Discrete Uniform Distribution : The discrete uniform distribution is a probability distribution that assigns equal probability to each possible value within a set of mutually exclusive and exhaustive outcomes. In other words, every possible outcome has the same probability of occurring. For example, let’s say we have a fair six-sided die. Each side of the […]

Discrete Time Fourier Transform : The discrete time Fourier transform (DTFT) is a mathematical tool used to analyze the frequency content of discrete time signals. It provides a representation of a signal in the frequency domain, allowing us to understand the spectral characteristics of a signal and design filters to manipulate its behavior. One example […]

Discrete Fourier Transform : The discrete Fourier transform (DFT) is a mathematical technique that allows for the analysis and representation of a discrete-time signal in the frequency domain. This allows for the identification and manipulation of the individual frequency components of a signal, which can be useful in a variety of applications such as signal […]

Disclosure Risk : Disclosure risk refers to the risk that confidential or sensitive information may be unintentionally revealed during the process of data collection and analysis. This can occur in a variety of ways, such as through the release of personal information or the identification of individuals in a dataset. One example of disclosure risk […]

Directional Data : Directional data, also known as directional statistics, is a branch of statistics that deals with data that has a natural orientation or direction. Examples of this type of data include wind direction, the orientation of geological features, and the direction of animal migration. One common example of directional data is wind direction. […]

DIP Test : The DIP test, also known as the duality of pattern test, is a statistical method used to determine the presence of multimodality in a dataset. Multimodality refers to the presence of multiple modes, or peaks, in the distribution of data. For example, consider a dataset of heights of people in a population. […]

Dimensionality Reduction : Dimensionality reduction is a technique used in machine learning to reduce the number of features or dimensions in a dataset. This is done to improve the performance of the model, reduce overfitting, and make the data easier to interpret and analyze. One example of dimensionality reduction is Principal Component Analysis (PCA). In […]

Dickey-Fuller Test : The Dickey-Fuller test is a statistical test used to determine whether a time series is stationary or non-stationary. Stationary time series have a constant mean and variance over time, while non-stationary time series have a mean and variance that change over time. One example of a stationary time series is the monthly […]

Diagnostic Key : A diagnostic key is a tool used by biologists and other scientists to identify different species or organisms. It is a structured sequence of statements or questions that guide the user through a series of choices, based on the characteristics of the organism in question, until a specific identification can be made. […]

Determinism : Determinism is the philosophical belief that all events, including human actions, are ultimately determined by prior causes and cannot be changed. This means that every action and decision we make is the result of a chain of events that has been set in motion, ultimately leading to the present moment. One example of […]