01300oam 22003853u 450 991069519310332120060613122840.0(CKB)5470000002366795(OCoLC)68228036(EXLCZ)99547000000236679520060505d2005 ua 0engtxtrdacontentcrdamediacrrdacarrierSelf excitation and harmonics in wind power generation[electronic resource] preprint / E. Muljadi ... [and others]Golden, Colo. :National Renewable Energy Laboratory,[2005]10 pages digital, PDF fileConference paper ;NREL/CP-500-33138Title from title screen (viewed on June 7, 2006)."November 2004."Self excitation and harmonics in wind power generation Wind turbinesPower supplyCapacitorsWind turbinesPower supply.Capacitors.Muljadi E1384435National Renewable Energy Laboratory (U.S.)DOXDOXGPOBOOK9910695193103321Self excitation and harmonics in wind power generation3431154UNINA05624nam 22006015 450 991025409470332120200701140528.03-319-40057-610.1007/978-3-319-40057-0(CKB)3710000000837585(DE-He213)978-3-319-40057-0(MiAaPQ)EBC6314526(MiAaPQ)EBC5595856(Au-PeEL)EBL5595856(OCoLC)957156409(PPN)194805700(EXLCZ)99371000000083758520160813d2016 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierExcel 2016 for Environmental Sciences Statistics A Guide to Solving Practical Problems /by Thomas J. Quirk, Meghan H. Quirk, Howard F. Horton1st ed. 2016.Cham :Springer International Publishing :Imprint: Springer,2016.1 online resource (XVII, 252 p. 165 illus., 162 illus. in color.) Excel for Statistics,2570-46053-319-40056-8 Introduction -- 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.This book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical environmental science 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 is an effective learning tool for quantitative analyses in environmental science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2016 for Environmental Science 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 2016 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 environmental science 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 165 illustrations in color Suitable for undergraduates or graduate students Prof. Tom Quirk spent six years in educational research at The American Institutes for Research and Educational Testing Service. He is Professor of Marketing in the Walker School of Business & Technology at Webster University 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 MBA from The University of Missouri-St. Louis. Dr. Meghan Quirk holds a Ph.D. in Biological Education and an M.A. in Biological Sciences from the University of Northern Colorado (UNC) and a B.A. in Biology and Religion at Principia College in Elsah, Illinois. She has co-authored an article on shortgrass steppe ecosystems in Photochemistry & Photobiology. She was a National Science Foundation Fellow GK-12, and currently teaches science in Bailey, Colorado. Howard F. Horton holds an MS in Biological Sciences from the University of Northern Colorado (UNC) and a BS in Biological Sciences from Mesa State College. He has worked on research projects in Pawnee National Grasslands and Long-Term Ecological Research at Toolik Lake, Alaska. He has co-authored articles in The International Journal of Speleology and The Journal of Cave and Karst Studies. He was a National Science Foundation Fellow GK-12. He is currently the Angler Outreach Coordinator with Colorado Parks and Wildlife.Excel for Statistics,2570-4605StatisticsEnvironmental sciencesStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/S17020Environmental Science and Engineeringhttps://scigraph.springernature.com/ontologies/product-market-codes/G37000Math. Appl. in Environmental Sciencehttps://scigraph.springernature.com/ontologies/product-market-codes/U24005Statistics.Environmental sciences.Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.Environmental Science and Engineering.Math. Appl. in Environmental Science.363.70072Quirk Thomas Jauthttp://id.loc.gov/vocabulary/relators/aut721655Quirk Meghan Hauthttp://id.loc.gov/vocabulary/relators/autHorton Howard Fauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910254094703321Excel 2016 for Environmental Sciences Statistics2039116UNINA