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Statistics for Chemical and Process Engineers

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The need for the development and understanding of large, complex data sets in a
wide range of different fields, including economics, chemistry, chemical engineering, and control engineering is very important. In all these fields, the common
thread is using these data sets for the development of models to forecast or predict
future behaviour. Furthermore, the availability of fast computers has meant that
many of the techniques can now be used and tested even on one’s own computer.
Although there exist a wealth of textbooks available on statistics, they are often
lacking in two key respects: application to the chemical and process industry and
their emphasis on computationally relevant methods. Many textbooks still contain
detailed explanations of how to manually solve a problem. Therefore, the goal of
this textbook is to provide a thorough mathematical and statistical background the
regression analysis through the use of examples drawn from the chemical and
process industries. The majority of the textbook presents the required information
using matrices without linking to any particular software. In fact, the goal here is to
allow the reader to implement the methods on any appropriate computational
device irrespective of their specific availability. Thus, detailed examples, that is,
base cases, and solution steps are provided to ease this task. Nevertheless, the
textbook contains two chapters devoted to using MATLAB® and Excel®, as these
are the most commonly used tools both in industry and in academics. Finally, the
textbook contains at the end of each chapter a series of questions divided into three
parts: conceptual questions to test the reader’s understanding of the material; simple
exercise problems that can be solved using pen, paper, and a simple, handheld
calculator to provide straightforward examples to test the mechanics and understanding of the material; and computational questions that require modern
computational software that challenge and advance the reader’s understanding of
the material.

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Availability

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Detail Information

Series Title

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Call Number

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Publisher

London : Springer., 2015

Collation

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Language

English

ISBN/ISSN

978-3-319-21509-9

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

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Subject(s)

Statistics

Specific Detail Info

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Statement of Responsibility

Yuri A.W. Shardt

Other Information

Cataloger

Jemadi

Source

https://link.springer.com/content/pdf/10.1007/978-3-319-21509-9.pdf?pdf=button

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