Asymptotic Theory delves into the limiting behaviour of estimators and functions of estimators, their distributions, and moments as the sample size approaches infinity. It provides approximations in finite sample inference when the true finite sample properties are unknown.
Comprehensive guide on Sample Size, its importance in statistics, calculation methods, applicability, and historical context.
A Sampling Plan provides a structured method for selecting the number of units to be sampled, defining the criteria for acceptance, and ensuring that the sample accurately represents the larger population.
An introduction to confidence intervals in statistics, including definitions, usage, historical context, examples, and related concepts.
Understanding the Law of Large Numbers in probability and statistics, including its definition, applications, and illustrative examples.
