LEADER 04225nam a2200349Ii 4500 001 991003241509707536 008 070802s2006 ne a sb 001 0 eng d 020 $a9780750679268 020 $a0750679263 035 $ab13653982-39ule_inst 037 $a112859:112948$bElsevier Science & Technology$nhttp://www.sciencedirect.com 040 $aBibl. Dip.le Aggr. Ingegneria Innovazione - Sez. Ingegneria Innovazione$beng 082 04$a507.24$222 100 1 $aSrinagesh, K.$0627468 245 14$aThe principles of experimental research$h[e-book] /$cK. Srinagesh 260 $aAmsterdam ;$aBoston :$bElsevier/Butterworth-Heinemann,$cc2006 300 $axviii, 410 p. :$bill. ;$c24 cm 504 $aIncludes bibliographical references and index 505 0 $a1 Experimental Research in Science: Its Name and Nature -- 2 The Importance of Definitions -- 3 Aspects of Quantification -- 4 The Purpose and Principles Involved in Experimenting -- Part II: Planning the Experiments -- 5 Defining the Problem for Experimental Research -- 6 Stating the Problem as a Hypothesis -- 7 Designing Experiments to Suit Problems -- 8 Dealing with Factors -- 9 Factors at More Than Two Levels -- Part III: The Craft Part of Experimental Research -- 10 Searching through Published Literature -- 11 Building the Experimental Setup -- Part IV: The Art of Reasoning in Scientific Research -- 12 Logic and Scientific Research -- 13 Inferential Logic for Experimental Research -- 14 Use of Symbolic Logic -- Part V: Probability and Statistics for Experimental Research -- 15 Introduction to Probability and Statistics -- 16 Randomization, Replication, and Sampling -- 17 Further Significance of Samples -- 18 Planning the Experiments in Statistical Terms -- 19 Statistical Inference from Experimental Data 520 $aThe need to understand how to design and set up an investigative experiment is nearly universal to all students in engineering, applied technology and science, as well as many of the social sciences. Many schools offer courses in this fundamental skill and this book is meant to offer an easily accessible introduction to the essential tools needed, including an understanding of logical processes, how to use measurement, the dos and donts of designing experiments so as to achieve reproducible results and the basic mathematical underpinnings of how data should be analyzed and interpreted. The subject is also taught as part of courses on Engineering statistics, Quality Control in Manufacturing, and Senior Design Project, in which conducting experimental research is usually integral to the project in question. * Covers such essential fundamentals as "definitions," "quantification," and standardization of test materials * Shows students and professionals alike how to plan an experimentfrom how to frame a proper Hypothesis to designing an experiment to accurately reflect the nature of the problem to "designing with factors." * Includes a separate section on the use of Statistics in Experimental Research, including overview of probability and statistics, as well as Randomization, Replication and Sampling, as well as proper ways to draw statistical inferences from experimental data 533 $aElectronic reproduction.$bAmsterdam :$cElsevier Science & Technology,$d2007.$nMode of access: World Wide Web.$nSystem requirements: Web browser.$nTitle from title screen (viewed on July 25, 2007).$nAccess may be restricted to users at subscribing institutions 650 0$aResearch$xMethodology 650 0$aScience$xExperiments$xMethodology 776 1 $cOriginal$z0750679263$z9780750679268$w(DLC) 2006295217$w(OCoLC)62874153 856 40$3Referex$uhttp://www.sciencedirect.com/science/book/9780750679268$zAn electronic book accessible through the World Wide Web; click for information 856 42$zPublisher description$uhttp://catdir.loc.gov/catdir/enhancements/fy0629/2006295217-d.html 856 41$zTable of contents$uhttp://catdir.loc.gov/catdir/enhancements/fy0629/2006295217-t.html 907 $a.b13653982$b03-03-22$c24-01-08 912 $a991003241509707536 996 $aPrinciples of experimental research$91212741 997 $aUNISALENTO 998 $ale026$b24-01-08$cm$d@ $e-$feng$gne $h4$i0