EXPERIMENT METHODOLOGY MIECZYSŁAW KORZYŃSKI - STATISTICAL DATA PROCESSING

Discover the fascinating world of statistical data analysis in the technology of machine manufacturing and its elements. This book is the key to understanding advanced data processing methods that are essential in modern engineering. Learn the secrets of testing technical tasks, planning experiments and multi-criteria optimization.

• Basics of mathematical statistics - Understanding key concepts.
• Testing technical tasks - Method of verifying statistical hypotheses.
• Experiment planning - Obtaining mathematical models of linear second degree and power models.
• Optimization methods - Single and multi-criteria.
• Practical application - Knowledge necessary in the technology of machine manufacturing.
• PWN Publishing House - Guarantee of high quality content.

The book "Experiment Methodology" by Mieczysław Korzyński is a comprehensive source of knowledge on statistical data processing, especially useful in the technology of machine manufacturing and its elements. The author presents the basic issues of mathematical statistics in an accessible way, enabling the reader to understand key concepts and methods.

The publication details the testing of technical tasks using the method of verifying statistical hypotheses, which allows for effective solving of engineering problems. The reader will learn how to plan experiments and obtain mathematical models of linear second degree and power models, which is necessary in the optimization process.

The book also presents methods of single and multi-criteria optimization, which are crucial in the engineering decision-making process. Thanks to this knowledge, the reader will be able to effectively manage production processes and minimize costs.

PWN Publishing House guarantees high quality content and reliable information. The book is ideal for students, engineers and all those interested in statistical data analysis in the technology of machine manufacturing.

The book format is 234x169 mm, it has 277 pages and a paperback cover. The year of publication is 2017.