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Introduction to statistical methods,...

Das, Dipayan.

Introduction to statistical methods, design of experiments and statistical quality control

Record Type:	Electronic resources : Monograph/item
Title/Author:	Introduction to statistical methods, design of experiments and statistical quality controlby Dharmaraja Selvamuthu, Dipayan Das.
Author:	Selvamuthu, Dharmaraja.
other author:	Das, Dipayan.
Published:	Singapore :Springer Singapore :2018.
Description:	xxi, 430 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Mathematical statistics.
Online resource:	https://doi.org/10.1007/978-981-13-1736-1
ISBN:	9789811317361$q(electronic bk.)

Introduction to statistical methods, design of experiments and statistical quality control
Selvamuthu, Dharmaraja.

Introduction to statistical methods, design of experiments and statistical quality control[electronic resource] /by Dharmaraja Selvamuthu, Dipayan Das. - Singapore :Springer Singapore :2018. - xxi, 430 p. :ill., digital ;24 cm.

Chapter 1. Introduction -- Chapter 2. Review of Probability -- Chapter 3. Descriptive Statistics -- Chapter 4. Sampling Distributions and Estimation -- Chapter 5. Testing of Hypothesis -- Chapter 6. Analysis of Correlation and Regression -- Chapter 7. Single Factor Experimental Design -- Chapter 8. Multi-Factor Experimental Designs -- Chapter 9. Response Surface Methodology -- Chapter 10. Statistical Quality Control.

This book provides an accessible presentation of concepts from probability theory, statistical methods, the design of experiments and statistical quality control. It is shaped by the experience of the two teachers teaching statistical methods and concepts to engineering students, over a decade. Practical examples and end-of-chapter exercises are the highlights of the text as they are purposely selected from different fields. Statistical principles discussed in the book have great relevance in several disciplines like economics, commerce, engineering, medicine, health-care, agriculture, biochemistry, and textiles to mention a few. A large number of students with varied disciplinary backgrounds need a course in basics of statistics, the design of experiments and statistical quality control at an introductory level to pursue their discipline of interest. No previous knowledge of probability or statistics is assumed, but an understanding of calculus is a prerequisite. The whole book serves as a master level introductory course in all the three topics, as required in textile engineering or industrial engineering. Organised into 10 chapters, the book discusses three different courses namely statistics, the design of experiments and quality control. Chapter 1 is the introductory chapter which describes the importance of statistical methods, the design of experiments and statistical quality control. Chapters 2-6 deal with statistical methods including basic concepts of probability theory, descriptive statistics, statistical inference, statistical test of hypothesis and analysis of correlation and regression. Chapters 7-9 deal with the design of experiments including factorial designs and response surface methodology, and Chap. 10 deals with statistical quality control.

ISBN: 9789811317361$q(electronic bk.)

Standard No.: 10.1007/978-981-13-1736-1doiSubjects--Topical Terms:

181877
Mathematical statistics.

LC Class. No.: QA276 / .S458 2018

Dewey Class. No.: 519.5

Introduction to statistical methods, design of experiments and statistical quality control
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505 0 $a Chapter 1. Introduction -- Chapter 2. Review of Probability -- Chapter 3. Descriptive Statistics -- Chapter 4. Sampling Distributions and Estimation -- Chapter 5. Testing of Hypothesis -- Chapter 6. Analysis of Correlation and Regression -- Chapter 7. Single Factor Experimental Design -- Chapter 8. Multi-Factor Experimental Designs -- Chapter 9. Response Surface Methodology -- Chapter 10. Statistical Quality Control.
520 $a This book provides an accessible presentation of concepts from probability theory, statistical methods, the design of experiments and statistical quality control. It is shaped by the experience of the two teachers teaching statistical methods and concepts to engineering students, over a decade. Practical examples and end-of-chapter exercises are the highlights of the text as they are purposely selected from different fields. Statistical principles discussed in the book have great relevance in several disciplines like economics, commerce, engineering, medicine, health-care, agriculture, biochemistry, and textiles to mention a few. A large number of students with varied disciplinary backgrounds need a course in basics of statistics, the design of experiments and statistical quality control at an introductory level to pursue their discipline of interest. No previous knowledge of probability or statistics is assumed, but an understanding of calculus is a prerequisite. The whole book serves as a master level introductory course in all the three topics, as required in textile engineering or industrial engineering. Organised into 10 chapters, the book discusses three different courses namely statistics, the design of experiments and quality control. Chapter 1 is the introductory chapter which describes the importance of statistical methods, the design of experiments and statistical quality control. Chapters 2-6 deal with statistical methods including basic concepts of probability theory, descriptive statistics, statistical inference, statistical test of hypothesis and analysis of correlation and regression. Chapters 7-9 deal with the design of experiments including factorial designs and response surface methodology, and Chap. 10 deals with statistical quality control.
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