LEADER 01068nam a2200265 i 4500 001 991001218429707536 005 20020507113025.0 008 970308s1973 fr ||| | eng 035 $ab10190065-39ule_inst 035 $aLE00644091$9ExL 040 $aDip.to Fisica$bita 084 $a53(082.2) 084 $a53.3.1 110 2 $aCentre national de la recherche scientifique$0214149 245 10$aRenormalization of Yang-Mills fields and applications to particle physics :$bCNRS, Marseilli, June 19-23, 1972 /$corganized by C.P. Korthals-Altes 260 $aMarseille :$bCNRS,$c1973 300 $a230 p. :$bill. ;$c30 cm. 650 4$aYang-Mills theory 700 1 $aKorthals-Altes, C.P. 907 $a.b10190065$b21-09-06$c27-06-02 912 $a991001218429707536 945 $aLE006 53.3(042+082.2) CNR$g1$i2006000046909$lle006$o-$pE0.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i10234536$z27-06-02 996 $aRenormalization of Yang-Mills fields and applications to particle physics$9189911 997 $aUNISALENTO 998 $ale006$b01-01-97$cm$da $e-$feng$gfr $h0$i1 LEADER 05564nam 22006135 450 001 9910254094403321 005 20200701140239.0 010 $a3-319-40063-0 024 7 $a10.1007/978-3-319-40063-1 035 $a(CKB)3710000000837586 035 $a(DE-He213)978-3-319-40063-1 035 $a(MiAaPQ)EBC6312803 035 $a(MiAaPQ)EBC5596469 035 $a(Au-PeEL)EBL5596469 035 $a(OCoLC)958064796 035 $a(PPN)194805719 035 $a(EXLCZ)993710000000837586 100 $a20160823d2016 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aExcel 2016 for Human Resource Management Statistics $eA Guide to Solving Practical Problems /$fby Thomas J. Quirk, Julie Palmer-Schuyler 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (XVII, 258 p. 162 illus., 161 illus. in color.) 225 1 $aExcel for Statistics,$x2570-4605 311 $a3-319-40062-2 327 $aIntroduction -- Sample size, mean, standard deviation, standard error of the mean -- Random number generator -- Confidence interval about the mean using the TINV function and hypothesis testing -- One-group t-test for the mean -- Two-group t-test of the difference of the means for independent groups -- Correlation and simple linear regression -- Multiple correlation and multiple regression -- One-way analysis of variance (ANOVA) -- Appendix A -- Appendix B -- Appendix C -- Appendix D -- Appendix E -- Index. 330 $aThis book shows the capabilities of Microsoft Excel in teaching human resource management statistics effectively. Similar to the previously published Excel 2013 for Human Resource Management Statistics, this book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical human resource management problems. If understanding statistics isn?t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in human resource management courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2016 for Human Resource Management Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand human resource management problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned. Includes 162 illustrations in color Suitable for undergraduate and graduate students At the beginning of his academic career, Prof. Quirk spent six years in educational research at The American Institutes for Research and Educational Testing Service. He is currently a Professor of Marketing in the Walker School of Business & Technology at Webster University based in St. Louis, Missouri (USA). He holds a B.S. in Mathematics from John Carroll University, both an M.A. in Education and a Ph.D. in Educational Psychology from Stanford University, and an M.B.A. from The University of Missouri-St. Louis. Prof. ?J.P.? Palmer-Schuyler is currently an Associate Professor of Human Resource Management in the Walker School of Business and Technology at Webster University in St. Louis, Missouri, USA, where she teaches undergraduate Human Resource Management and Organizational Behavior. She received her MBA from the University of Nebraska-Lincoln and her Ph.D. from the University of Missouri-Columbia in Management. She has published articles in Academy of Business Disciplines Journal and Regional Business Review, and she has made conference presentations at the Academy of Management and Society for Advancement of Management. 410 0$aExcel for Statistics,$x2570-4605 606 $aStatistics 606 $aPersonnel management 606 $aApplication software 606 $aStatistics for Social Sciences, Humanities, Law$3https://scigraph.springernature.com/ontologies/product-market-codes/S17040 606 $aHuman Resource Management$3https://scigraph.springernature.com/ontologies/product-market-codes/517000 606 $aComputer Appl. in Arts and Humanities$3https://scigraph.springernature.com/ontologies/product-market-codes/I23036 615 0$aStatistics. 615 0$aPersonnel management. 615 0$aApplication software. 615 14$aStatistics for Social Sciences, Humanities, Law. 615 24$aHuman Resource Management. 615 24$aComputer Appl. in Arts and Humanities. 676 $a658.300727 700 $aQuirk$b Thomas J$4aut$4http://id.loc.gov/vocabulary/relators/aut$0721655 702 $aPalmer-Schuyler$b Julie$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254094403321 996 $aExcel 2016 for Human Resource Management Statistics$92174088 997 $aUNINA