LEADER 01039nam0 2200277 450 001 000028681 005 20120223161904.0 100 $a20120223d2005----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $ay-------001yy 200 1 $a<>settore delle piante officinali inquadramento di filiera, criticità e linee di azione per lo sviluppo$fMarialuisa Saviano 210 $aRoma$cEd. culturali internazionali$d2005 215 $aVIII, 227 p.$d24 cm 225 2 $aCollana di studi aziendali e di marketing$v31 410 0$12001$aCollana di studi aziendali e di marketing 500 10$a<>settore delle piante officinali inquadramento di filiera...$941206 610 1 $aAlimenti$aTracciabilità 610 1 $aEconomia agraria 676 $a338.1$v22 700 1$aSaviano,$bMarialuisa$0560600 801 0$aIT$bUNIPARTHENOPE$c20120223$gRICA$2UNIMARC 912 $a000028681 951 $a338-S/47$b43274$cNAVA1$d2012 996 $aSettore delle piante officinali inquadramento di filiera..$941206 997 $aUNIPARTHENOPE LEADER 03715nam 2200637Ia 450 001 9910778085703321 005 20231110220305.0 010 $a1-282-69039-6 010 $a9786612690396 010 $a0-470-74643-2 035 $a(CKB)1000000000765569 035 $a(EBL)454429 035 $a(OCoLC)609844437 035 $a(SSID)ssj0000366215 035 $a(PQKBManifestationID)11290380 035 $a(PQKBTitleCode)TC0000366215 035 $a(PQKBWorkID)10415857 035 $a(PQKB)11666627 035 $a(MiAaPQ)EBC454429 035 $a(Au-PeEL)EBL454429 035 $a(CaPaEBR)ebr10313713 035 $a(CaONFJC)MIL269039 035 $a(MiAaPQ)EBC7103354 035 $a(Au-PeEL)EBL7103354 035 $a(EXLCZ)991000000000765569 100 $a20090116d2009 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aIntroduction to engineering statistics$b[electronic resource] /$fS.J. Morrison 210 $aChichester, West Sussex, U.K. ;$aHoboken, NJ $cWiley$dc2009 215 $a1 online resource (193 p.) 225 1 $aNew York Academy of Sciences 300 $aDescription based upon print version of record. 311 $a0-470-74556-8 320 $aIncludes bibliographical references and index. 327 $aStatistics for Engineers an Introduction; Contents; About the Author; Foreword; Preface; Acknowledgements; 1 Nature of Variability; 2 Basic Statistical Methods; 2.1 Variance; 2.2 Divisor 'n' or 'n1'?; 2.3 Covariance and Correlation; 2.4 Normal Distribution; 2.5 Cumulative Frequency Distributions; 2.6 Binomial Distribution; 2.7 Poisson Distribution; 2.8 Chi-squared Distribution; Bibliography; 3 Production; 3.1 Sampling Inspection; 3.2 Control Charts; 3.3 Cusum Charts; 3.4 Significance Tests; 3.5 Analysis of Variance; 3.6 Linear Regression; Bibliography; 4 Engineering Design 327 $a4.1 Variance Synthesis4.2 Factors of Safety; 4.3 Tolerances; 4.4 The Future; Bibliography; 5 Research and Development; 5.1 Design of Experiments; 5.2 Evolutionary Operation; 5.3 Multiple Regression; 5.4 More Statistical Methods; Bibliography; 6 Background; 6.1 Measurement; 6.2 Statistical Computing; Bibliography; 7 Quality Management; 7.1 Quality Planning; 7.2 Quality Organisation; 7.3 Directing the Quality Function; 7.4 Controlling the Quality Function; 7.5 Statistical Engineering; Bibliography; 8 Conclusion; Appendix A: Guidelines; Appendix B: Recommended Books; Appendix C: Periodicals 327 $aAppendix D: Supplementary BibliographyAppendix E: Statistical Tables; Index 330 $aThis practical text is an essential source of information for those wanting to know how to deal with the variability that exists in every engineering situation. Using typical engineering data, it presents the basic statistical methods that are relevant, in simple numerical terms. In addition, statistical terminology is translated into basic English. In the past, a lack of communication between engineers and statisticians, coupled with poor practical skills in quality management and statistical engineering, was damaging to products and to the economy. The disastrous consequence of setting t 410 0$aNew York Academy of Sciences 606 $aEngineering mathematics 606 $aEngineering$xStatistical methods 615 0$aEngineering mathematics. 615 0$aEngineering$xStatistical methods. 676 $a620.0072/7 700 $aMorrison$b S. J$01561218 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910778085703321 996 $aIntroduction to engineering statistics$93827747 997 $aUNINA