LEADER 03562nam 22005413 450 001 9910747598503321 005 20231011080222.0 010 $a9789819968862 010 $a9819968860 035 $a(MiAaPQ)EBC30775416 035 $a(Au-PeEL)EBL30775416 035 $a(PPN)272914894 035 $a(CKB)28477905800041 035 $a(Exl-AI)30775416 035 $a(OCoLC)1402761298 035 $a(EXLCZ)9928477905800041 100 $a20231011d2023 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProceedings of 2023 Chinese Intelligent Systems Conference $eVolume III 205 $a1st ed. 210 1$aSingapore :$cSpringer,$d2023. 210 4$d©2023. 215 $a1 online resource (850 pages) 225 1 $aLecture Notes in Electrical Engineering Series ;$vv.1091 311 08$aPrint version: Jia, Yingmin Proceedings of 2023 Chinese Intelligent Systems Conference Singapore : Springer,c2023 9789819968855 327 $aContents -- Research on Hierarchical Mechanism of Strictly Metric-Free Model Modeling and Parameter Optimization -- 1 Introduction -- 2 Improved Model and Differential Evolution Algorithm -- 2.1 Model Expression -- 2.2 Model Comparison -- 2.3 Differential Evolution Algorithm -- 3 Simulation Design and Experimental Results Analysis -- 3.1 The Impact of Introducing the Leader Mechanism on the Swarm's Collaborative Consistency -- 3.2 Introduction of the Differential Evolution Algorithm in the Swarm Model -- 4 Conclusion -- References -- Analytical Study of the Nonlinear Characteristics of Hydraulic Servo Actuator -- 1 Introduction -- 2 Jet Pipe HSA Linear Model Establishment -- 2.1 Hydraulic Servo Actuator Working Principle -- 2.2 Mathematical Model -- 2.3 Bond Graph Model -- 2.4 AMESim Simulation Model -- 3 Nonlinear Links and Models -- 4 Simulation of Nonlinear Characteristics -- 5 Conclusion -- References -- Fetal Head Circumference Detection Based on Dlink-Net Model -- 1 Introduction -- 2 Methodology -- 2.1 Model -- 2.2 Improvement of Mask and Fitting -- 2.3 Loss Function -- 3 Ordinary Least Square$7Generated by AI. 330 $aThis volume is part of the Lecture Notes in Electrical Engineering series, presenting proceedings from the 2023 Chinese Intelligent Systems Conference. It covers a breadth of topics in the field of electrical engineering, including intelligent systems, control systems, avionics engineering, and cybersecurity. The book aims to support both academic research and professional training by providing insights into recent advancements and methodologies in these areas. It is intended for researchers, engineers, and students interested in the latest developments within electrical engineering disciplines.$7Generated by AI. 410 0$aLecture Notes in Electrical Engineering Series 606 $aElectrical engineering$7Generated by AI 606 $aIntelligent control systems$7Generated by AI 615 0$aElectrical engineering 615 0$aIntelligent control systems 676 $a006.3 700 $aJia$b Yingmin$01431783 701 $aZhang$b Weicun$01077603 701 $aFu$b Yongling$01431784 701 $aWang$b Jiqiang$01076940 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910747598503321 996 $aProceedings of 2023 Chinese Intelligent Systems Conference$93574662 997 $aUNINA LEADER 05347nam 22006015 450 001 9910254295803321 005 20200701092657.0 010 $a3-319-72104-6 024 7 $a10.1007/978-3-319-72104-0 035 $a(CKB)4100000001381592 035 $a(DE-He213)978-3-319-72104-0 035 $a(MiAaPQ)EBC6315622 035 $a(MiAaPQ)EBC5589233 035 $a(Au-PeEL)EBL5589233 035 $a(OCoLC)1019427429 035 $a(PPN)222229454 035 $a(EXLCZ)994100000001381592 100 $a20171230d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aExcel 2016 for Advertising Statistics $eA Guide to Solving Practical Problems /$fby Thomas J. Quirk, Eric Rhiney 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (XV, 249 p. 167 illus. in color.) 225 1 $aExcel for Statistics,$x2570-4605 300 $aIncludes index. 311 $a3-319-72103-8 327 $aPreface -- Acknowledgements --  Ch 1 Sample Size, Mean, Standard Deviation, and Standard Error of the Mean -- Ch 2     Random Number Generator --  Ch 3 Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing -- Ch 4 One-Group t-Test for the Mean -- Ch 5 Two-Group t-Test of the Difference of the Means for Independent Groups -- Ch 6 Correlation and Simple Linear Regression -- Ch 7 Multiple Correlation and Multiple Regression -- Ch 8     One-Way Analysis of Variance (ANOVA).- Appendix A:  Answers to End-of-Chapter Practice Problems.- Appendix B:  Practice Test.- Appendix C:  Answers to Practice Test.- Appendix D:  Statistical Formulas.- Appendix E:  t-table.- Index. 330 $aThis text is a step-by-step guide for students taking a first course in statistics for advertising and for advertising managers and practitioners who want to learn how to use Excel to solve practical statistics problems in in the workplace, whether or not they have taken a course in statistics. Excel 2016 for Advertising Statistics explains statistical formulas and offers practical examples for how students can solve real-world advertising statistics problems. This book leaves detailed explanations of statistical theory to other statistics textbooks and focuses entirely on practical, real-world problem solving. Each chapter briefly explains a topic and then demonstrates how to use Excel commands and formulas to solve specific advertising statistics problems.  This book gives practice in using Excel in two different ways:  (1) writing formulas (e.g., confidence interval about the mean, one-group t-test, two-group t-test, correlation) and (2) using Excel?s drop-down formula menus (e.g., simple linear regression, multiple correlation and multiple regression, and one-way ANOVA).  Three practice problems are provided at the end of each chapter, along with their solutions in an Appendix.  An additional Practice Test allows readers to test their understanding of each chapter by attempting to solve a specific practical advertising statistics problem using Excel; the solution to each of these problems is also given in an Appendix. Includes 167 illustrations in color Suitable for undergraduates or graduate students Thomas J. Quirk is Professor of Marketing in the George Herbert Walker School of Business & Technology at Webster University based in St. Louis, Missouri (USA) where he teaches Marketing Statistics, Marketing Research, and Pricing Strategies. He has published over 20 articles in professional journals, and presented more than 20 papers at professional conferences. Eric Rhiney is Associate Professor of Marketing at the George Herbert Walker School of Business & Technology at Webster University in St. Louis, Missouri (USA) where he teaches Research Design, Marketing Research and Marketing Strategies.  He is involved in several quantitative research studies focused on in-group out-group orientation on consumer attitudes, digital marketing behavior, and cross-cultural marketing, and has presented is work at numerous professional conferences.  . 410 0$aExcel for Statistics,$x2570-4605 606 $aStatistics 606 $aMarketing 606 $aStatistics for Business, Management, Economics, Finance, Insurance$3https://scigraph.springernature.com/ontologies/product-market-codes/S17010 606 $aMarketing$3https://scigraph.springernature.com/ontologies/product-market-codes/513000 606 $aStatistics for Social Sciences, Humanities, Law$3https://scigraph.springernature.com/ontologies/product-market-codes/S17040 615 0$aStatistics. 615 0$aMarketing. 615 14$aStatistics for Business, Management, Economics, Finance, Insurance. 615 24$aMarketing. 615 24$aStatistics for Social Sciences, Humanities, Law. 676 $a659.10727 700 $aQuirk$b Thomas J$4aut$4http://id.loc.gov/vocabulary/relators/aut$0721655 702 $aRhiney$b Eric$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254295803321 996 $aExcel 2016 for Advertising Statistics$92182295 997 $aUNINA