Discrete data is qualitative data. Continuous data is quantitative data. Simply put, discrete values are finite, and ...

Provides a one-semester course in probability and statistics with applications in the engineering sciences. Probability of events, discrete and continuous random variables cumulative distribution, ...

Julie Young is an experienced financial writer and editor. She specializes in financial analysis in capital planning and investment management. Suzanne is a content marketer, writer, and fact-checker.

Discrete data is categorical data, rather than continuous measurements. It can be treated as continuous data, but that depends on the measurements set. It allows you to quantify things like pass/fail ...

Description: A first course in probability intended to serve as a background for statistics and other applications. Sample spaces and axioms of probability, discrete and continuous random variables, ...

The world is full of uncertainty: accidents, storms, unruly financial markets, noisy communications. The world is also full of data. Probabilistic modeling and the related field of statistical ...

Acyclic directed mixed graphs (ADMGs) are graphs that contain directed (→) and bidirected (↔) edges, subject to the constraint that there are no cycles of directed edges. Such graphs may be used to ...

This paper develops statistical models for the analysis of discrete longitudinal data. Many interesting stochastic processes are generated by a model in which discrete events arise from a ...