Book 30 Methods of Planning Experiments . Razd. Selection of factors and optimization parameter. First-Order Plans: A Course of Lectures by B. N. Shumenko is a unique guide that immerses the reader in the world of scientific research and experimental design. It examines in detail the methods to optimize processes and find the most effective solutions in various fields of science and technology. If you are interested in statistics, engineering, biology or any other discipline where data analysis and experimental planning are required, this book will be an indispensable assistant for you. Shumenko, known for his deep understanding of statistical methods and their application, offers the reader not only theoretical knowledge, but also practical recommendations that can be immediately used in the work. The book examines the key aspects of the selection of factors and optimization parameters, which allows the reader to understand how to correctly formulate tasks and choose the appropriate methods for solving them. The author focuses on first-order plans, which makes the material accessible and understandable even for those who are just beginning to get acquainted with this topic. Who can like this edition? First of all, the book will be of interest to students and graduate students studying in the field of natural and technical sciences . It will also be useful to practitioners working in laboratories, research centers and manufacturing companies where data analysis and experimental planning are required. If you are looking to improve your skills or want to learn new ways of working, this guide will be an excellent choice. The topics raised in the book cover a wide range of issues related to experimental design. Shumenko discusses how to choose the right factors that can affect the results of the experiment, and how to optimize the parameters for the best results. This knowledge is especially relevant in the modern world, where data becomes the main resource, and the ability to work with them is a key skill. The book emphasizes the importance of a systematic approach to the planning of experiments and demonstrates how to properly organize the study in order to obtain reliable and reproducible results. The author's style is distinguished by clarity and accessibility, which makes complex concepts understandable even for an unprepared reader. Shumenko uses many examples and illustrations that help to better absorb the material .. His previous work has also been recognized for its practical focus and relevance, making him an expert in the field. If you are looking for books on experimental design, statistics or optimization methods, 30 Methods for Planning Experiments will be a real find for you. Readers interested in such works as Statistical Data Analysis or Optimization Methods in Science and Technology will find in this manual a lot of useful information that will help them in their studies and work. Do not miss the opportunity to deepen your knowledge and skills in planning experiments with this book. It will be your reliable companion on the way to scientific discoveries and professional growth.