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Mathematical Gnostics - Advanced Data Analysis for Research and Engineering Practice (Hardcover) Loot Price: R4,463
Discovery Miles 44 630
Mathematical Gnostics - Advanced Data Analysis for Research and Engineering Practice (Hardcover): Pavel Kovanic

Mathematical Gnostics - Advanced Data Analysis for Research and Engineering Practice (Hardcover)

Pavel Kovanic

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Loot Price R4,463 Discovery Miles 44 630 | Repayment Terms: R418 pm x 12*

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The book describes the theoretical principles of nonstatistical methods of data analysis but without going deep into complex mathematics. The emphasis is laid on presentation of solved examples of real data either from authors' laboratories or from open literature. The examples cover wide range of applications such as quality assurance and quality control, critical analysis of experimental data, comparison of data samples from various sources, robust linear and nonlinear regression as well as various tasks from financial analysis. The examples are useful primarily for chemical engineers including analytical/quality laboratories in industry, designers of chemical and biological processes. Features: Exclusive title on Mathematical Gnostics with multidisciplinary applications, and specific focus on chemical engineering. Clarifies the role of data space metrics including the right way of aggregation of uncertain data. Brings a new look on the data probability, information, entropy and thermodynamics of data uncertainty. Enables design of probability distributions for all real data samples including smaller ones. Includes data for examples with solutions with exercises in R or Python. The book is aimed for Senior Undergraduate Students, Researchers, and Professionals in Chemical/Process Engineering, Engineering Physics, Stats, Mathematics, Materials, Geotechnical, Civil Engineering, Mining, Sales, Marketing and Service, and Finance.

General

Imprint: Crc Press
Country of origin: United Kingdom
Release date: 2023
First published: 2023
Authors: Pavel Kovanic
Dimensions: 234 x 156mm (L x W)
Format: Hardcover
Pages: 322
ISBN-13: 978-1-138-33923-1
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Professional & Technical > Environmental engineering & technology > General
Books > Business & Economics > Economics > Econometrics > Economic statistics
Books > Science & Mathematics > Chemistry > Analytical chemistry > General
Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > General
Books > Professional & Technical > Industrial chemistry & manufacturing technologies > Industrial chemistry > Chemical engineering
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LSN: 1-138-33923-7
Barcode: 9781138339231

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