A detailed overview of the logistic distribution in economics and statistics.
A detailed exploration of symmetrical distribution in economics and statistics.
A situation where a decision-maker knows possible events but not their exact probabilities.
An approach to hypothesis testing that assesses which of two hypotheses, the null (H0) or the alternative (H1), is more likely to be correct, considering prior knowledge.
A comprehensive overview of the concept of conditional distribution in the context of economics, including definitions, major analytical frameworks, and case studies.
An overview of the concept of convergence in probability within the field of econometrics and statistics.
The concept of cumulative distribution function (CDF) in probability and its key properties.
Understanding the definition and implications of a discrete random variable in economics.
Expected value is the probability-weighted average outcome of a random variable.
A comprehensive overview of the exponential distribution, its properties, and applications in economics
The odds which would leave anybody betting on a random event with zero expected gain or loss.
A continuous distribution with a density function often used in statistics and applied sciences.
A detailed examination of the geometric distribution in the field of economics and probability
Understanding Joint Probability Distribution in the Context of Multiple Random Variables
A measure of the 'humpedness' of a probability distribution compared to a normal distribution.
A comprehensive overview of the likelihood function in economics and statistics, detailing its interpretation, application, and significance.
Moment Generating Function (mgf) is utilized to calculate moments of the distribution of a random variable X.
A comprehensive entry on normal distribution in economics, detailing its definition, historical context, and relevance in various economic frameworks.
An overview of the concept of Random Event in Economics.
A function that maps the outcomes of a random experiment onto the real numbers
An in-depth exploration of the binomial distribution, its historical context, definitions, major analytical frameworks, and applications.
