This work introduces a coordinate-free approach to Gauss-Markov estimation, a fundamental concept in statistical inference and time series analysis. The book, authored by H. Drygas, delves into the mathematical underpinnings of estimation theory, focusing on the properties of linear estimators in the context of Gauss-Markov processes. It aims to provide a rigorous treatment of these topics, suitable for advanced students and researchers in statistics, econometrics, and related fields, by developing a framework that is independent of specific coordinate systems.

The 'Lecture Notes in Economic and Mathematical Systems' series typically publishes advanced, rigorous mathematical treatments of economic and systems theory. This volume, focusing on Gauss-Markov estimation, is expected to be a technical monograph for specialists. Its coordinate-free approach suggests a focus on abstract mathematical structures and their application to statistical problems, likely appealing to researchers and graduate students seeking a deep theoretical understanding of estimation methods.