Many important aspects of statistical data processing are depicted in this new book, in which the author tries to show the rational way how to correctly estimate the result of investigations or test-control for different statistical information in various spheres of human activities (engineering, public health, production, investigations on the whole, ecology, and to process statistical data).
The argument is that all inquiries provide us with a wealth of numerical data. For instance, temperature fluctuations, pressure or velocity changes, various travels or accelerations, the importance of precisions or durability, strains or wear resistance, and so on.
Typically, the researchers will be confronted with a number of issues, including:
• How many experiments/tests must be conducted in order to obtain completely accurate results in order to reach a valid conclusion?
- What kind of rule of several distributions must be taken into account in order to accurately represent and process the initial data? Since there are over 30 laws of distribution in mathematics, the researcher must be a highly qualified expert and even a connoisseur in this area.
• All of these factors necessitate taking too many decisions, working long hours, and wasting a lot of money.
It is understood that at least one (or two) mistakes can occur during these acts in practise. As a result, the crucial inference would be incorrect, and the sequels could also be tragic.
As a result, such a problem must be resolved as soon as possible, using the most basic methods with the highest level of reliability and trustworthiness. The author of this book is prepared to tackle a challenging and critical challenge for many scholars, researchers, people with higher technical education, and practical staff.
Before moving on to the practical examples, some background details on conventional methods in the highest mathematic related to calculation will be given.
ITMO University, Russia.
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