Name: Statistics for Chemical and Process Engineers: A Modern Approach (en Inglés)
Price: 2373.45 MXN
Availability: InStock
Author: Shardt, Yuri a. W.
ISBN: 9783030831929

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portada Statistics for Chemical and Process Engineers: A Modern Approach (en Inglés)

Formato

Libro Físico

Autor

Yuri a. W. Shardt

Editorial

Springer

Idioma

Inglés

N° páginas

432

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 15.6 x 2.4 cm

Peso

0.64 kg.

ISBN13

9783030831929

N° edición

0002

Categorías

Probabilidad y estadística
Química industrial e ingeniería química
Producción e ingeniería industrial

Statistics for Chemical and Process Engineers: A Modern Approach (en Inglés)

Yuri a. W. Shardt (Autor) · Springer · Tapa Blanda

Libro Físico

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Origen: Reino Unido (Costos de importación incluídos en el precio)

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Reseña del libro "Statistics for Chemical and Process Engineers: A Modern Approach (en Inglés)"

A coherent, concise, and comprehensive course in the statistics needed for a modern career in chemical engineering covers all of the concepts required for the American Fundamentals of Engineering Examination.Statistics for Chemical and Process Engineers (second edition) shows the reader how to develop and test models, design experiments and analyze data in ways easily applicable through readily available software tools like MS Excel(R) and MATLAB(R) and is updated for the most recent versions of both. Generalized methods that can be applied irrespective of the tool at hand are a key feature of the text, and it now contains an introduction to the use of state-space methods.The reader is given a detailed framework for statistical procedures covering: data visualization;probability;linear and nonlinear regression; experimental design (including factorial and fractional factorial designs); and dynamic process identification. Main concepts are illustrated with chemical- and process-engineering-relevant examples that can also serve as the bases for checking any subsequent real implementations. Questions are provided (with solutions available for instructors) to confirm the correct use of numerical techniques, and templates for use in MS Excel and MATLAB are also available for download. With its integrative approach to system identification, regression, and statistical theory, this book provides an excellent means of revision and self-study for chemical and process engineers working in experimental analysis and design in petrochemicals, ceramics, oil and gas, automotive and similar industries, and invaluable instruction to advanced undergraduate and graduate students looking to begin a career in the process industries.