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020 _a9789819993635
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024 7 _a10.1007/978-981-99-9363-5
_2doi
050 4 _aQA276-280
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_2bicssc
072 7 _aMAT029000
_2bisacsh
072 7 _aPBT
_2thema
100 1 _aSelvamuthu, Dharmaraja.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_972642
245 1 0 _aIntroduction to Probability, Statistical Methods, Design of Experiments and Statistical Quality Control
_h[electronic resource] /
_cby Dharmaraja Selvamuthu, Dipayan Das.
250 _a2nd ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aXXVIII, 609 p. 150 illus., 73 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aUniversity Texts in the Mathematical Sciences,
_x2731-9326
505 0 _aChapter 1. Introduction -- Chapter 2. Basic Concepts of Probability -- Chapter 3. Random Variable and Distribution Function -- Chapter 4. Standard Deviation -- Chapter 5. Multiple Random Variable and Joint Distribution -- Chapter 6. Limiting Distributions -- Chapter 7. Descriptive Statistics -- Chapter 8. Sampling Distributions -- Chapter 9. Estimation -- Chapter 10. Testing of Hypothesis -- Chapter 11. Analysis of Correlation and Regression -- Chapter 12. Single Factor Experimental Design -- Chapter 13. Multi-Factor Experimental Designs -- Chapter 14. Response Surface Methodology -- Chapter 15. Acceptance Sampling -- Chapter 16. Control Charts. Appendix A. Statistical Tables -- Appendix B. Introduction to the R Software Program. .
520 _aThis revised 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. 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 a great relevance in several disciplines like economics, commerce, engineering, medicine, health care, agriculture, biochemistry, and textiles to mention a few. Organised into 16 chapters, the revised book discusses four major topics—probability theory, statistical methods, the design of experiments, and statistical quality control. 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 also serves as a master level introductory course in all the three topics, as required in textile engineering or industrial engineering.
650 0 _aStatistics.
_965982
650 0 _aProbabilities.
_965724
650 0 _aExperimental design.
_964006
650 1 4 _aStatistical Theory and Methods.
650 2 4 _aProbability Theory.
_967428
650 2 4 _aDesign of Experiments.
_974873
700 1 _aDas, Dipayan.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_974874
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789819993628
776 0 8 _iPrinted edition:
_z9789819993642
776 0 8 _iPrinted edition:
_z9789819993659
830 0 _aUniversity Texts in the Mathematical Sciences,
_x2731-9326
_971590
856 4 0 _uhttps://doi.org/10.1007/978-981-99-9363-5
912 _aZDB-2-SMA
912 _aZDB-2-SXMS
999 _c59012
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