Population parameter estimation involves using sample data to make inferences about the entire population, providing insights into parameters like mean, variance, and proportion. It relies on statistical techniques to ensure that the estimations are unbiased, consistent, and efficient, often utilizing confidence intervals and hypothesis testing to convey the precision and reliability of the estimates.