Shell
Definition of Shell A shell is a user interface that allows computer users to interact with the operating system. Shells usually provide a command-line interface in which the user can type commands, which the shell then executes.
Serial Correlation
Definition of Serial Correlation Serial correlation is a measure of how much two variables are related to each other over time. Serial correlation is often used in time series analysis to determine if there is a trend or pattern in the data.
Scripting
Definition of Scripting A scripting language is a programming language designed for automating the execution of tasks. Scripting languages are often interpreted instead of compiled, and are used to create small, specific programs or to execute a series of commands.
Scalar
Definition of Scalar A scalar is a numerical quantity that has a magnitude but no direction.
SAS
Definition of SAS see Statistical Analysis System.
S curve
Definition of S curve S curve is a graphical representation of data points that display nonlinearity in the trend. The points on the graph typically follow a smooth curve, indicating that the trend changes at different points in time. The S curve is often used when describing growth or decay over time.
Ruby
Definition of Ruby Ruby is a programming language designed for web development. It has a syntax that is easy to learn and read, making it a popular choice for beginners. Ruby also has powerful features that make it suitable for more advanced applications.
Python
Definition of Python Python is a high-level programming language with strong support for data science and machine learning. It has a wide variety of libraries for data analysis, machine learning, and scientific computing.
Prior Distribution
Definition of Prior Distribution A prior distribution is a probability distribution that is used to assign a probability to each outcome in a problem before any data is observed. This distribution is usually chosen based on experience or intuition.
Principal Component Analysis
Definition of Principal Component Analysis Principal component analysis (PCA) is a technique used to reduce the dimensionality of data. It does this by identifying the principal components of the data, which are the dimensions that account for the most variation in the data. PCA can be used to improve the performance of machine learning algorithms,…