03739nam 2200637 a 450 991046212690332120210423234509.01-283-65659-00-300-18929-X10.12987/9780300189292(CKB)2670000000275551(OCoLC)819379504(CaPaEBR)ebrary10612161(SSID)ssj0000757165(PQKBManifestationID)12318745(PQKBTitleCode)TC0000757165(PQKBWorkID)10754164(PQKB)11052396(StDuBDS)EDZ0000157968(MiAaPQ)EBC3421070(DE-B1597)486324(OCoLC)817828483(DE-B1597)9780300189292(Au-PeEL)EBL3421070(CaPaEBR)ebr10612161(CaONFJC)MIL396909(OCoLC)923601285(EXLCZ)99267000000027555120120509d2012 uy 0engur|||||||||||txtccrThe true history of Merlin the magician[electronic resource] /Anne Lawrence-MathersNew Haven Yale University Press20121 online resource (275 p.)Bibliographic Level Mode of Issuance: Monograph0-300-14489-X Includes bibliographical references and index.Front matter --Contents --Illustrations --Introduction --1. The Discovery of Merlin --2. Writing the History of Merlin --3. The British Merlin --4. The Curious Career of Merlin the Astrologer --5. Merlin's Magic --6. A Demonic Heritage --7. Merlin in Europe --8. Love and Death --Conclusion: The Measure of Merlin --Notes --Bibliography --IndexMerlin the Magician has remained an enthralling and curious individual since he was first introduced in the twelfth century though the pages of Geoffrey of Monmouth's Historia Regum Britanniae. But although the Merlin of literature and Arthurian myth is well known, Merlin the historical' figure and his relation to medieval magic are less familiar. In this book Anne Lawrence-Mathers explores just who he was, and what he has meant to Britain. The historical Merlin was no rough magician: he was a learned figure from the cutting edge of medieval science and adept in astrology, cosmology, prophecy and natural magic, as well as being a seer and a proto-alchemist. His powers were convincingly real-and useful, for they helped to add credibility to the 'long-lost' history of Britain which first revealed them to a European public. Merlin's prophecies reassuringly foretold Britain's path, establishing an ancient ancestral line and linking biblical prophecy with more recent times. Merlin helped to put British history into world history. Lawrence-Mathers also explores the meaning of Merlin's magic across the centuries, arguing that he embodied ancient Christian and pagan magical traditions, recreated for a medieval court and shaped to fit a new moral framework. Linking Merlin's reality and power with the culture of the Middle Ages, this remarkable book reveals the true impact of the most famous magician of all time.Merlin (Legendary character)Arthurian romancesHistory and criticismElectronic books.Merlin (Legendary character)Arthurian romancesHistory and criticism.809/.93351Lawrence-Mathers Anne1953-1046253MiAaPQMiAaPQMiAaPQBOOK9910462126903321The true history of Merlin the magician2473034UNINA05534nam 2200673Ia 450 991083104810332120230721010612.01-283-27393-497866132739321-118-16453-91-118-16446-6(CKB)2550000000054311(EBL)848509(OCoLC)757394818(SSID)ssj0000550643(PQKBManifestationID)11355077(PQKBTitleCode)TC0000550643(PQKBWorkID)10509726(PQKB)11628301(MiAaPQ)EBC848509(EXLCZ)99255000000005431120080728d2009 uy 0engur|n|---|||||txtccrStatistical control by monitoring and feedback adjustment[electronic resource] /George E.P. Box, Alberto Luceño, Maria del Carmen Paniagua-Quiñones2nd ed.Hoboken, N.J. John Wiley & Sons20091 online resource (358 p.)Wiley series in probability and statisticsDescription based upon print version of record.0-470-14832-2 Includes bibliographical references and index.Statistical Control by Monitoring and Adjustment, Second Edition; Contents; Preface; 1 Introduction and Revision of Some Statistical Ideas; 1.1 Necessity for Process Control; 1.2 SPC and EPC; 1.3 Process Monitoring Without a Model; 1.4 Detecting a Signal in Noise; 1.5 Measurement Data; 1.6 Two Important Characteristics of a Probability Distribution; 1.7 Normal Distribution; 1.8 Normal Distribution Defined by μ and σ; 1.9 Probabilities Associated with Normal Distribution; 1.10 Estimating Mean and Standard Deviation from Data; 1.11 Combining Estimates of σ21.12 Data on Frequencies (Events): Poisson Distribution1.13 Normal Approximation to Poisson Distribution; 1.14 Data on Proportion Defective: Binomial Distribution; 1.15 Normal Approximation to Binomial Distribution; Appendix 1A: Central Limit Effect; Problems; 2 Standard Control Charts Under Ideal Conditions As a First Approximation; 2.1 Control Charts for Process Monitoring; 2.2 Control Chart for Measurement (Variables) Data; 2.3 Shewhart Charts for Sample Average and Range; 2.4 Shewhart Chart for Sample Range; 2.5 Process Monitoring With Control Charts for Frequencies2.6 Data on Frequencies (Counts): Poisson Distribution2.7 Common Causes and Special Causes; 2.8 For What Kinds of Data Has the c Chart Been Used?; 2.9 Quality Control Charts for Proportions: p Chart; 2.10 EWMA Chart; 2.11 Process Monitoring Using Cumulative Sums; 2.12 Specification Limits, Target Accuracy, and Process Capability; 2.13 How Successful Process Monitoring can Improve Quality; Problems; 3 What Can Go Wrong and What Can We Do About It?; 3.1 Introduction; 3.2 Measurement Charts; 3.3 Need for Time Series Models; 3.4 Types of Variation; 3.5 Nonstationary Noise3.6 Values for constants3.7 Frequencies and Proportions; 3.8 Illustration; 3.9 Robustness of EWMA; Appendix 3A: Alternative Forms of Relationships for EWMAs; Questions; 4 Introduction to Forecasting and Process Dynamics; 4.1 Forecasting with an EWMA; 4.2 Forecasting Sales of Dingles; 4.3 Pete's Rule; 4.4 Effect of Changing Discount Factor; 4.5 Estimating Best Discount Factor; 4.6 Standard Deviation of Forecast Errors and Probability Limits for Forecasts; 4.7 What to Do If You Do Not Have Enough Data to Estimate θ; 4.8 Introduction to Process Dynamics and Transfer Function4.9 Dynamic Systems and Transfer Funtions4.10 Difference Equations to Represent Dynamic Relations; 4.11 Representing Dynamics of Industrial Process; 4.12 Transfer Function Models Using Difference Equations; 4.13 Stable and Unstable Systems; Problems; 5 Nonstationary Time Series Models for Process Disturbances; 5.1 Reprise; 5.2 Stationary Time Series Model in Which Successive Values Are Correlated; 5.3 Major Effects of Statistical Dependence: Illustration; 5.4 Random Walk; 5.5 How to Test a Forecasting Method; 5.6 Qualification of EWMA As a Forecast5.7 Understanding Time Series Behavior with VariogramPraise for the First Edition ""This book . . . is a significant addition to the literature on statistical practice . . . should be of considerable interest to those interested in these topics.""-International Journal of Forecasting Recent research has shown that monitoring techniques alone are inadequate for modern Statistical Process Control (SPC), and there exists a need for these techniques to be augmented by methods that indicate when occasional process adjustment is necessary. Statistical Control by Monitoring and Adjustment, Second Edition presents the relationship among these concepWiley series in probability and statistics.Feedback control systemsProcess controlStatistical methodsFeedback control systems.Process controlStatistical methods.629.8/3629.83Box George E. P30397Luceño Alberto253452Paniagua-Quiñones María del Carmen1721797MiAaPQMiAaPQMiAaPQBOOK9910831048103321Statistical control by monitoring and feedback adjustment4121653UNINA