國立高雄大學圖資館 |

Statistics and data analysis for engineers and scientists

Record Type:	Electronic resources : Monograph/item
Title/Author:	Statistics and data analysis for engineers and scientistsby Tanvir Mustafy, Md. Tauhid Ur Rahman.
Author:	Mustafy, Tanvir.
other author:	Rahman, Md Tauhid Ur.
Published:	Singapore :Springer Nature Singapore :2024.
Description:	ix, 180 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Mathematical statistics.
Online resource:	https://doi.org/10.1007/978-981-99-4661-7
ISBN:	9789819946617$q(electronic bk.)

Statistics and data analysis for engineers and scientists
Mustafy, Tanvir.

Statistics and data analysis for engineers and scientists[electronic resource] /by Tanvir Mustafy, Md. Tauhid Ur Rahman. - Singapore :Springer Nature Singapore :2024. - ix, 180 p. :ill., digital ;24 cm. - Transactions on computer systems and networks,2730-7492. - Transactions on computer systems and networks..

General Overview -- Introduction to MATLAB -- The Fundamentals of Microsoft Excel -- Introduction to SPSS.

This textbook summarizes the different statistical, scientific, and financial data analysis methods for users ranging from a high school level to a professional level. It aims to combine the data analysis methods using three different programs-Microsoft Excel, SPSS, and MATLAB. The book combining the different data analysis tools is a unique approach. The book presents a variety of real-life problems in data analysis and machine learning, delivering the best solution. Analysis methods presented in this book include but are not limited to, performing various algebraic and trigonometric operations, regression modeling, and correlation, as well as plotting graphs and charts to represent the results. Fundamental concepts of applied statistics are also explained here, with illustrative examples. Thus, this book presents a pioneering solution to help a wide range of students, researchers, and professionals learn data processing, interpret different findings derived from the analyses, and apply them to their research or professional fields. The book also includes worked examples of practical problems. The primary focus behind designing these examples is understanding the concepts of data analysis and how it can solve problems. The chapters include practice exercises to assist users in enhancing their skills to execute statistical analysis calculations using software instead of relying on tables for probabilities and percentiles in the present world.

ISBN: 9789819946617$q(electronic bk.)

Standard No.: 10.1007/978-981-99-4661-7doiSubjects--Topical Terms:

181877
Mathematical statistics.

LC Class. No.: QA276

Dewey Class. No.: 519.5

Statistics and data analysis for engineers and scientists
LDR:02654nmm a2200337 a 4500 001 663234
003 DE-He213
005 20240110185508.0
006 m d
007 cr nn 008maaau
008 241203s2024 si s 0 eng d
020 $a 9789819946617$q(electronic bk.)
020 $a 9789819946600$q(paper)
024 7 $a 10.1007/978-981-99-4661-7 $2 doi
035 $a 978-981-99-4661-7
040 $a GP $c GP
041 0 $a eng
050 4 $a QA276
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 519.5 $2 23
090 $a QA276 $b .M991 2024
100 1 $a Mustafy, Tanvir. $3 975487
245 1 0 $a Statistics and data analysis for engineers and scientists $h [electronic resource] / $c by Tanvir Mustafy, Md. Tauhid Ur Rahman.
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2024.
300 $a ix, 180 p. : $b ill., digital ; $c 24 cm.
490 1 $a Transactions on computer systems and networks, $x 2730-7492
505 0 $a General Overview -- Introduction to MATLAB -- The Fundamentals of Microsoft Excel -- Introduction to SPSS.
520 $a This textbook summarizes the different statistical, scientific, and financial data analysis methods for users ranging from a high school level to a professional level. It aims to combine the data analysis methods using three different programs-Microsoft Excel, SPSS, and MATLAB. The book combining the different data analysis tools is a unique approach. The book presents a variety of real-life problems in data analysis and machine learning, delivering the best solution. Analysis methods presented in this book include but are not limited to, performing various algebraic and trigonometric operations, regression modeling, and correlation, as well as plotting graphs and charts to represent the results. Fundamental concepts of applied statistics are also explained here, with illustrative examples. Thus, this book presents a pioneering solution to help a wide range of students, researchers, and professionals learn data processing, interpret different findings derived from the analyses, and apply them to their research or professional fields. The book also includes worked examples of practical problems. The primary focus behind designing these examples is understanding the concepts of data analysis and how it can solve problems. The chapters include practice exercises to assist users in enhancing their skills to execute statistical analysis calculations using software instead of relying on tables for probabilities and percentiles in the present world.
650 0 $a Mathematical statistics. $3 181877
650 0 $a Engineering $x Statistical methods. $3 181883
650 1 4 $a Computational Intelligence. $3 338479
650 2 4 $a Data Analysis and Big Data. $3 913147
650 2 4 $a Statistics and Computing. $3 922173
650 2 4 $a Data Engineering. $3 839346
700 1 $a Rahman, Md Tauhid Ur. $3 975488
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Transactions on computer systems and networks. $3 904984
856 4 0 $u https://doi.org/10.1007/978-981-99-4661-7
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)