Generalized Linear Multiple Regression Model with Autocorrelated Residues . Methodical instructions for laboratory work" is a unique manual created by a team of authors, which will become an indispensable assistant for students, graduate students and practitioners in the field of statistics and data analysis. This edition carefully examines the complex aspects of generalized linear models (OLM), making it ideal for those seeking to deepen their knowledge in this field. The main theme of the book is the application of generalized linear models of multiple regression, especially in the context of autocorrelated residues. This is an important aspect that is often overlooked, but which is critical to correct data analysis. The authors share methodological guidelines that will help readers not only to understand the theoretical foundations, but also to apply them in practice. The book includes many examples and tasks, which makes the learning process more exciting and accessible. This work will be of particular interest to students and researchers working in the fields of economics, sociology, medicine and other sciences, where it is necessary to conduct statistical analysis. If you are studying statistical methods or want to improve your skills in data analysis, this guide will become a real storehouse of knowledge for you. The book will also be useful to practicing analysts and statisticians who are looking for ways to improve their models and improve the accuracy of forecasts. One of the key topics raised in the book is the problem of autocorrelation of residues, which can lead to incorrect conclusions and distortion of the results of the analysis. The authors explain how to identify and eliminate this problem, which makes their work especially relevant in the context of modern data analysis, where the accuracy and reliability of the results play a crucial role. The writing style of the authors is clear and accessible, which allows readers to easily assimilate complex concepts. The book uses practical examples and assignments, which makes it not only a theoretical manual, but also a practical guide. This is especially important for students who need not only to know the theory, but also to be able to apply it in practice. If you are looking for similar books, pay attention to such works as "