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Using MATLAB to solve statistical pr...
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Shardt, Yuri A. W.
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Using MATLAB to solve statistical problems = a practical guide to the book "Statistics for chemical and process engineers" /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Using MATLAB to solve statistical problems/ by Yuri A.W. Shardt.
Reminder of title:
a practical guide to the book "Statistics for chemical and process engineers" /
Author:
Shardt, Yuri A. W.
Published:
Cham :Springer Nature Switzerland : : 2023.,
Description:
xiv, 65 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:
Introduction to MATLAB® -- Data Visualisation -- Chapter 2 : Data Visualisation -- Theoretical Statistics, Distributions, Hypothesis Testing, and Confidence Intervals -- Regression Analysis and Design of Experiments.
Contained By:
Springer Nature eBook
Subject:
Mathematical statistics - Data processing. -
Online resource:
https://doi.org/10.1007/978-3-031-40299-9
ISBN:
9783031402999
Using MATLAB to solve statistical problems = a practical guide to the book "Statistics for chemical and process engineers" /
Shardt, Yuri A. W.
Using MATLAB to solve statistical problems
a practical guide to the book "Statistics for chemical and process engineers" /[electronic resource] :by Yuri A.W. Shardt. - Cham :Springer Nature Switzerland :2023. - xiv, 65 p. :ill. (some col.), digital ;24 cm. - essentials,2731-3115. - essentials..
Introduction to MATLAB® -- Data Visualisation -- Chapter 2 : Data Visualisation -- Theoretical Statistics, Distributions, Hypothesis Testing, and Confidence Intervals -- Regression Analysis and Design of Experiments.
This companion book to the textbook Statistics for Chemical and Process Engineers−A Modern Approach provides a complete overview of how to use Matlab to solve typical statistical problems in engineering. In addition to short sections on the required theory, the focus of the book is on detailed, line-by-line MATLAB code for solving the specific problems. Furthermore, solutions are provided for standard problems that can then be re-used and modified as necessary. End-of-chapter questions allow the reader to independently test the knowledge acquired. Content Detailed solutions for problems in Data visualisation Hypothesis testing Linear and nonlinear regression Design of experiments Time-series analysis System identification Target Groups Students and engineers that wish to solve statistical problems using Matlab Professors and instructors that wish to use Matlab in their courses The Author Prof. Dr. Yuri A.W. Shardt is currently the chair of the Department of Automation Engineering (de: Fachgebiet Automatisierungstechnik) at the Technical University of Ilmenau.
ISBN: 9783031402999
Standard No.: 10.1007/978-3-031-40299-9doiSubjects--Uniform Titles:
MATLAB.
Subjects--Topical Terms:
532521
Mathematical statistics
--Data processing.
LC Class. No.: QA276.45.M385 / S43 2023
Dewey Class. No.: 510.285536
Using MATLAB to solve statistical problems = a practical guide to the book "Statistics for chemical and process engineers" /
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Introduction to MATLAB® -- Data Visualisation -- Chapter 2 : Data Visualisation -- Theoretical Statistics, Distributions, Hypothesis Testing, and Confidence Intervals -- Regression Analysis and Design of Experiments.
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This companion book to the textbook Statistics for Chemical and Process Engineers−A Modern Approach provides a complete overview of how to use Matlab to solve typical statistical problems in engineering. In addition to short sections on the required theory, the focus of the book is on detailed, line-by-line MATLAB code for solving the specific problems. Furthermore, solutions are provided for standard problems that can then be re-used and modified as necessary. End-of-chapter questions allow the reader to independently test the knowledge acquired. Content Detailed solutions for problems in Data visualisation Hypothesis testing Linear and nonlinear regression Design of experiments Time-series analysis System identification Target Groups Students and engineers that wish to solve statistical problems using Matlab Professors and instructors that wish to use Matlab in their courses The Author Prof. Dr. Yuri A.W. Shardt is currently the chair of the Department of Automation Engineering (de: Fachgebiet Automatisierungstechnik) at the Technical University of Ilmenau.
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Intelligent Technologies and Robotics (SpringerNature-42732)
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