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008			180903s2018 si |||| o |||| 0|eng
010			_a 2019744386
020			_a9789811317361
024	7		_a10.1007/978-981-13-1736-1 _2doi
035			_a(DE-He213)978-981-13-1736-1
040			_aDLC _beng _epn _erda _cAAMUSTED-M
050			_aQA276 _b.Se4 2018
072		7	_aMAT029000 _2bisacsh
072		7	_aPBT _2bicssc
072		7	_aPBT _2thema
082	0	4	_a519.5 _223
100	1		_aSelvamuthu, D. _eauthor.
245	1	0	_aIntroduction to Statistical Methods, Design of Experiments and Statistical Quality Control / _cby Dharmaraja Selvamuthu, Dipayan Das.
250			_a1st ed. 2018.
264		1	_aSingapore : _bSpringer Singapore : _bImprint: Springer, _c2018.
300			_a1 online resource (XXI, 430 pages 90 illustrations, 39 illustrations in color.)
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aChapter 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			_aThis 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.
588			_aDescription based on publisher-supplied MARC data.
650		0	_aStatistics.
650	1	4	_aStatistical Theory and Methods. _0https://scigraph.springernature.com/ontologies/product-market-codes/S11001
700	1		_aDas, Dipayan. _eauthor.
776	0	8	_iPrint version: _tIntroduction to statistical methods, design of experiments and statistical quality control. _z9789811317354 _w(DLC) 2018949329
776	0	8	_iPrinted edition: _z9789811317354
776	0	8	_iPrinted edition: _z9789811317378
776	0	8	_iPrinted edition: _z9789811346736
906			_a0 _bibc _corigres _du _encip _f20 _gy-gencatlg
942			_2lcc _cBK
999			_c7180 _d7180