Statistical Inference, George Casella, Roger L. Berger, 2002 (Duxbury Thomson Learning)DOI: 10.1201/9781003456285 - A comprehensive text on statistical inference, covering the theoretical underpinnings of point estimation, properties of estimators, and methods for finding good estimators.
Probability and Statistics, Morris H. DeGroot and Mark J. Schervish, 2012 (Pearson) - Offers a clear explanation of point estimation, differentiating between population parameters and sample statistics, and illustrating common estimators.
Practical Statistics for Data Scientists: 50 Essential Concepts, Peter Bruce, Andrew Bruce, Peter Gedeck, 2020 (O'Reilly Media) - Discusses estimates of location and variability, providing practical context for how point estimates are used in data science and machine learning applications.
Introduction to Probability and Statistics, Jeremy Orloff, Jonathan Bloom, 2014 (MIT OpenCourseWare) - Free online course materials from MIT covering fundamental concepts of statistical inference, including parameters, statistics, and point estimation.