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.
Before moving on to the practical examples, some background details on conventional methods in the highest mathematic related to calculation will be given.
Author(s) Details
Kirill Voinov
ITMO University, Russia.
View Book:- https://stm.bookpi.org/PESITI/article/view/863
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