LEADER 03455nam 22006135 450 001 9910483408103321 005 20220916175539.0 010 $a981-15-1944-7 024 7 $a10.1007/978-981-15-1944-4 035 $a(CKB)4100000010328271 035 $a(MiAaPQ)EBC6109824 035 $a(DE-He213)978-981-15-1944-4 035 $a(PPN)243770650 035 $a(EXLCZ)994100000010328271 100 $a20200213d2020 fy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aFinite and instantaneous screw theory in robotic mechanism /$fTao Sun, Shuofei Yang, Binbin Lian 205 $a1st edition 2020. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2020. 215 $a1 online resource (411 pages) 225 1 $aSpringer Tracts in Mechanical Engineering,$x2195-9862 311 $a981-15-1943-9 327 $aIntroduction -- Finite and Instantaneous Screw Theory -- Topology and Performance Modeling of Robotic Mechanisms -- Type Synthesis Method and Procedures of Robotic Mechanisms -- Type Synthesis of Mechanisms with Invariable Rotation Axes -- Type Synthesis of Mechanisms with Variable Rotation Axes -- Kinematic Modeling and Analysis of Robotic Mechanisms -- Static Modeling and Analysis of Robotic Mechanisms -- Dynamic Modeling and Analysis of Robotic Mechanisms -- Optimal Design of Robotic Mechanisms -- Synthesis, Analysis and Design of typical robotic mechanisms -- Kinematic Calibration of Robotic Mechanisms -- References. 330 $aThis book presents a finite and instantaneous screw theory for the development of robotic mechanisms. It addresses the analytical description and algebraic computation of finite motion, resulting in a generalized type synthesis approach. It then discusses the direct connection between topology and performance models, leading to an integrated performance analysis and design framework. The book then explores parameter uncertainty and multiple performance requirements for reliable, optimal design methods, and describes the error accumulation principle and parameter identification algorithm, to increase robot accuracy. It proposes a unified and generic methodology, and applies to the invention, analysis, design, and calibration of robotic mechanisms. The book is intended for researchers, graduate students and engineers in the fields of robotic mechanism and robot design and applications. 410 0$aSpringer Tracts in Mechanical Engineering,$x2195-9862 606 $aAutomatic control 606 $aRobotics 606 $aMechatronics 606 $aVibration 606 $aDynamics 606 $aDynamics 606 $aEngineering design 615 0$aAutomatic control. 615 0$aRobotics. 615 0$aMechatronics. 615 0$aVibration. 615 0$aDynamics. 615 0$aDynamics. 615 0$aEngineering design. 676 $a629.892 700 $aSun$b Tao$c(Mechanical engineer)$4aut$4http://id.loc.gov/vocabulary/relators/aut$01103303 702 $aYang$b Shuofei$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aLian$b Binbin$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483408103321 996 $aFinite and Instantaneous Screw Theory in Robotic Mechanism$92850278 997 $aUNINA LEADER 04061nam 22005535 450 001 9910484076203321 005 20200704000823.0 010 $a3-030-39261-9 024 7 $a10.1007/978-3-030-39261-1 035 $a(CKB)4100000011273754 035 $a(MiAaPQ)EBC6214832 035 $a(DE-He213)978-3-030-39261-1 035 $a(PPN)248396250 035 $a(EXLCZ)994100000011273754 100 $a20200530d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aExcel 2019 for Business Statistics $eA Guide to Solving Practical Problems /$fby Thomas J. Quirk 205 $a2nd ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (260 pages) $cillustrations 225 1 $aExcel for Statistics,$x2570-4605 300 $aIncludes index. 311 $a3-030-39260-0 327 $aPreface -- Acknowledgements -- 1 Sample Size, Mean, Standard Deviation, and Standard Error of the Mean -- 2 Random Number Generator -- 3 Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing -- 4 One-Group t-Test for the Mean -- 5 Two-Group t-Test of the Difference of the Means for Independent Groups -- 6 Correlation and Simple Linear Regression -- 7 Multiple Correlation and Multiple Regression -- 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 $aNewly revised to specifically provide demonstration in Excel 2019, this volume shows the capabilities of Microsoft Excel in business statistics. Similar to its predecessor, Excel 2016 for Business Statistics, it is a step-by-step, exercise-driven guide for students and practitioners who are looking to master Excel to solve practical business problems. Excel, a widely available computer program for students and professionals, is also an effective teaching and learning tool for quantitative analyses in business courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. Excel 2019 for Business Statistics: A Guide to Solving Practical Problems capitalizes on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand business problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full practice test (with answers in an appendix) that allows readers to test what they have learned. This new edition offers a wealth of new sample problems, as well as updated chapter content throughout. 410 0$aExcel for Statistics,$x2570-4605 606 $aStatistics 606 $aBusiness mathematics 606 $aStatistics for Business, Management, Economics, Finance, Insurance$3https://scigraph.springernature.com/ontologies/product-market-codes/S17010 606 $aBusiness Mathematics$3https://scigraph.springernature.com/ontologies/product-market-codes/523000 606 $aStatistics and Computing/Statistics Programs$3https://scigraph.springernature.com/ontologies/product-market-codes/S12008 615 0$aStatistics. 615 0$aBusiness mathematics. 615 14$aStatistics for Business, Management, Economics, Finance, Insurance. 615 24$aBusiness Mathematics. 615 24$aStatistics and Computing/Statistics Programs. 676 $a330.015195 700 $aQuirk$b Thomas J$4aut$4http://id.loc.gov/vocabulary/relators/aut$0721655 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484076203321 996 $aExcel 2019 for Business Statistics$92126347 997 $aUNINA