LEADER 03309nam 2200637Ia 450 001 9910786568803321 005 20200520144314.0 010 $a1-283-85451-1 010 $a90-04-24177-9 035 $a(CKB)2670000000309438 035 $a(EBL)1081558 035 $a(OCoLC)821180633 035 $a(SSID)ssj0000784732 035 $a(PQKBManifestationID)11486498 035 $a(PQKBTitleCode)TC0000784732 035 $a(PQKBWorkID)10763449 035 $a(PQKB)11511093 035 $a(MiAaPQ)EBC1081558 035 $a(nllekb)BRILL9789004241770 035 $a(Au-PeEL)EBL1081558 035 $a(CaPaEBR)ebr10631728 035 $a(CaONFJC)MIL416701 035 $a(PPN)174395426 035 $a(EXLCZ)992670000000309438 100 $a20120907d2013 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aBreaking into the monopoly$b[electronic resource] $eprovincial merchants and manufacturers' campaigns for access to the Asian market, 1790-1833 /$fby Yukihisa Kumagai 210 $aLeiden ;$aBoston $cBrill$d2013 215 $a1 online resource (249 p.) 225 0 $aLibrary of economic history ;$vv. 4 300 $aDescription based upon print version of record. 311 0 $a90-04-24172-8 320 $aIncludes bibliographical references and index. 327 $aPreliminary Material -- Introduction -- Defending the Monopoly: The East India Company, 1790's?1830's -- Challenging the Commercial Giant: The Glasgow East India Association, 1812?1813 -- Struggling for Lucrative Trade: The Glasgow East India Association, 1829?1833 -- Aiming for the Premier Port of the Empire: The Liverpool East India Association, 1812?1813 and 1829?1833 -- Searching for New Markets: The Manchester Chamber of Commerce and Manufacturers, 1829?1833 -- Conclusion -- Appendices -- Bibliography -- Index. 330 $aBased on a number of historical documents, Breaking into the Monopoly examines how the commercial pressure groups of Glasgow, Liverpool, and Manchester organised nationwide campaigns to break into the British East India Company?s monopoly for free access to Asian markets from 1812-1813 and 1829-1833. The analysis includes various aspects of the campaigners? motives, strategies, methods, and networks, as well as their relationship with the London mercantile society in nineteenth-century Britain. The author, Yukihisa Kumagai, brings new insights to the question regarding the connection between the rapidly growing provincial mercantile and manufacturing interests and Britain?s economic and imperial policies during the Industrial Revolution. 410 0$aLibrary of Economic History$v4. 606 $aMonopolies$zGreat Britain$xHistory$y19th century 606 $aTrade associations$zGreat Britain$xHistory$y19th century 607 $aAsia$xCommerce$zGreat Britain 607 $aGreat Britain$xCommerce$zAsia 615 0$aMonopolies$xHistory 615 0$aTrade associations$xHistory 676 $a382.095 676 $a382.095041 700 $aKumagai$b Yukihisa$01513069 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910786568803321 996 $aBreaking into the monopoly$93747310 997 $aUNINA LEADER 05634nam 22006974a 450 001 9910830719503321 005 20230207223912.0 010 $a1-280-44761-3 010 $a9786610447619 010 $a0-470-03648-6 010 $a0-470-03647-8 035 $a(CKB)1000000000355769 035 $a(EBL)257031 035 $a(OCoLC)71626407 035 $a(SSID)ssj0000194112 035 $a(PQKBManifestationID)11188457 035 $a(PQKBTitleCode)TC0000194112 035 $a(PQKBWorkID)10231424 035 $a(PQKB)11619141 035 $a(MiAaPQ)EBC257031 035 $a(EXLCZ)991000000000355769 100 $a20051219d2006 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aLongitudinal data analysis$b[electronic resource] /$fDonald Hedeker, Robert D. Gibbons 210 $aHoboken, N.J. $cWiley-Interscience$dc2006 215 $a1 online resource (369 p.) 225 1 $aWiley series in probability and statistics 300 $aDescription based upon print version of record. 311 $a0-471-42027-1 320 $aIncludes bibliographical references (p. 313-334) and index. 327 $aLONGITUDINAL DATA ANALYSIS; CONTENTS; Preface; Acknowledgments; Acronyms; 1 Introduction; 1.1 Advantages of Longitudinal Studies; 1.2 Challenges of Longitudinal Data Analysis; 1.3 Some General Notation; 1.4 Data Layout; 1.5 Analysis Considerations; 1.6 General Approaches; 1.7 The Simplest Longitudinal Analysis; 1.7.1 Change Score Analysis; 1.7.2 Analysis of Covariance of Post-test Scores; 1.7.3 ANCOVA of Change Scores; 1.7.4 Example; 1.8 Summary; 2 ANOVA Approaches to Longitudinal Data; 2.1 Single-Sample Repeated Measures ANOVA; 2.1.1 Design; 2.1.2 Decomposing the Time Effect 327 $a2.1.2.1 Trend Analysis-Orthogonal Polynomial Contrasts2.1.2.2 Change Relative to Baseline-Reference Cell Contrasts; 2.1.2.3 Consecutive Time Comparisons-Profile Contrasts; 2.1.2.4 Contrasting Each Timepoint to the Mean of Subsequent Timepoints-Helmert Contrasts; 2.1.2.5 Contrasting Each Timepoint to the Mean of Others-Deviation Contrasts; 2.1.2.6 Multiple Comparisons; 2.2 Multiple-Sample Repeated Measures ANOVA; 2.2.1 Testing for Group by Time Interaction; 2.2.2 Testing for Subject Effect; 2.2.3 Contrasts for Time Effects; 2.2.3.1 Orthogonal Polynomial Partition of SS 327 $a2.2.4 Compound Symmetry and Sphericity2.2.4.1 Sphericity; 2.3 Illustration; 2.4 Summary; 3 MANOVA Approaches to Longitudinal Data; 3.1 Data Layout for ANOVA versus MANOVA; 3.2 MANOVA for Repeated Measurements; 3.2.1 Growth Curve Analysis-Polynomial Representation; 3.2.2 Extracting Univariate Repeated Measures ANOVA Results; 3.2.3 Multivariate Test of the Time Effect; 3.2.4 Tests of Specific Time Elements; 3.3 MANOVA of Repeated Measures-s Sample Case; 3.3.1 Extracting Univariate Repeated Measures ANOVA Results; 3.3.2 Multivariate Tests; 3.4 Illustration; 3.5 Summary 327 $a4 Mixed-Effects Regression Models for Continuous Outcomes4.1 Introduction; 4.2 A Simple Linear Regression Model; 4.3 Random Intercept MRM; 4.3.1 Incomplete Data Across Time; 4.3.2 Compound Symmetry and Intraclass Correlation; 4.3.3 Inference; 4.3.4 Psychiatric Dataset; 4.3.5 Random Intercept Model Example; 4.4 Random Intercept and Trend MRM; 4.4.1 Random Intercept and Trend Example; 4.4.2 Coding of Time; 4.4.2.1 Example; 4.4.3 Effect of Diagnosis on Time Trends; 4.5 Matrix Formulation; 4.5.1 Fit of Variance-Covariance Matrix; 4.5.2 Model with Time-Varying Covariates 327 $a4.5.2.1 Within and Between-Subjects Effects for Time-Varying Covariates4.5.2.2 Time Interactions with Time-Varying Covariates; 4.6 Estimation; 4.6.1 ML Bias in Estimation of Variance Parameters; 4.7 Summary; 5 Mixed-Effects Polynomial Regression Models; 5.1 Introduction; 5.2 Curvilinear Trend Model; 5.2.1 Curvilinear Trend Example; 5.3 Orthogonal Polynomials; 5.3.1 Model Representations; 5.3.2 Orthogonal Polynomial Trend Example; 5.3.3 Translating Parameters; 5.3.4 Higher-Order Polynomial Models; 5.3.5 Cubic Trend Example; 5.4 Summary; 6 Covariance Pattern Models; 6.1 Introduction 327 $a6.2 Covariance Pattern Models 330 $aLongitudinal data analysis for biomedical and behavioral sciencesThis innovative book sets forth and describes methods for the analysis of longitudinaldata, emphasizing applications to problems in the biomedical and behavioral sciences. Reflecting the growing importance and use of longitudinal data across many areas of research, the text is designed to help users of statistics better analyze and understand this type of data.Much of the material from the book grew out of a course taught by Dr. Hedeker on longitudinal data analysis. 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