# Average Sample Number

Average Sample Number : Average Sample Number (ASN) is a statistical measure used to determine the average number of samples needed to obtain a specified level of accuracy in a sample survey. It is calculated by dividing the total number of samples by the total number of units in the population. For example, if a […]

# Average Precision

Average Precision : Average precision is a metric used in information retrieval and data mining to evaluate the performance of a model in ranking items. It measures the average of the precision values at each position in the ranking, taking into account only the items that are relevant to the query. For example, consider a […]

# Autoregression

Autoregression : Autoregression is a time series analysis technique that uses previous values of a time series to predict future values. This technique is commonly used in forecasting and modeling time-series data, such as stock prices, demand for products, or weather patterns. For example, if we have a time series of monthly sales data for […]

# Autocorrelation

Autocorrelation : Autocorrelation is a statistical measure that describes the relationship between a variable and its own lagged values. It is often used to assess the degree of correlation between a time series and its past values, and can provide valuable insights into the underlying patterns and trends in the data. One common example of […]

# Augmented Reality

Augmented Reality : Augmented Reality (AR) is a technology that blends digital information with the user’s physical environment in real-time. Unlike virtual reality, which creates a completely artificial environment, AR enhances the existing environment by overlaying digital elements on top of it. For example, AR can be used in gaming to add virtual characters or […]

# Audit Trail

Audit Trail : An audit trail is a record of all the steps taken during a financial transaction or process. This includes any changes made to the transaction, as well as the date and time of each change. The purpose of an audit trail is to provide a clear and detailed record of a transaction […]

# Attribute

Attribute : An attribute is a characteristic or quality that describes an object or individual. It provides additional information about the subject and helps to differentiate it from others. For example, the color of a fruit is an attribute that helps to identify it as a red apple or a yellow banana. The height of […]

# Asymmetric proximity matrices

Asymmetric proximity matrices : Asymmetric proximity matrices are a type of proximity matrix that are used in data analysis and machine learning. These matrices are used to represent the relationship between different objects or entities, and they are typically used in clustering and classification algorithms. An asymmetric proximity matrix is different from a symmetric proximity […]

# Asymmetric maximum likelihood (AML)

Asymmetric maximum likelihood (AML) : Asymmetric maximum likelihood (AML) is a statistical method used to estimate model parameters in cases where the likelihood function is not symmetrical. This can occur when there is a significant difference in the variance of the data for different values of the model parameters. One example of when AML may […]

# Asymmetrical Distribution

Asymmetrical Distribution : Asymmetrical distribution, also known as skewed distribution, is a type of probability distribution where the values are not evenly distributed around the central value or mean. In other words, the distribution is not symmetrical, with the values being concentrated more on one side of the mean than the other. This can be […]