Search Results - Formula 4

Recognizing the stranger recognition scenes in the Gospel of John / by Larsen, Kasper Bro

Table of Contents: “…Introduction -- Odysseus' scar and Jesus' wound marks -- Previous studies in Johannine recognition -- The present study : aim, method, and outline -- Anagnorisis in a theoretical and historical perspective -- Anagnorisis in Aristotle's poetics -- The embarrassments of recognition -- Anagnorisis and the cognitive dimension of John's Gospel -- The semiotics of recognition -- The dual appearance of the observed -- How to display the recognition Mark : showing, telling, and whispering -- Aspects of recognition : identification and social recognition -- Anagnorisis as a type-scene in ancient literature -- The meeting -- The move of cognitive resistance -- The move of displaying the token -- The moment of recognition -- Attendant reactions and physical (re-)union -- Anagnorisis and arrival (John 1-4) -- Anagnorisis within the matrix of John's narrative -- Prologue and prejudice : prefatory whisperings -- The prologue's web of identity relations -- The logos changes its guise -- Recognizing a stranger : comparing Jesus with Odysseus -- Establishing Jesus' presence in the story-world (1:19-51) -- John the Baptist : recognizing the wrong man (1:19-28) -- Jesus and John the Baptist : from baptismal scene to recognition scene (1:29-34) -- Jesus and the disciples : call narratives in the form of recognition scenes (1:35-51) -- Semeia as Semata : tokens of Jesus' divine doxa -- Jesus and the Samaritan woman (4:4-42) : betrothal and recognition -- Recognition in conflict (John 5-19) -- John 5:1-18 : a recognition parody -- "I am" : a recognition formula -- John 9 : blindness and insight -- The recognition scenes of the hour -- The exposure of Judas as traitor (13:18-30) -- Jesus' arrest : from discovery to self-disclosure (18:1-12) -- Peter's denial (18:15-18, 25-27) -- Jesus judged by Pilate : by what law? …”
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Recognizing the stranger recognition scenes in the Gospel of John / by Larsen, Kasper Bro

Table of Contents: “…Introduction -- Odysseus' scar and Jesus' wound marks -- Previous studies in Johannine recognition -- The present study : aim, method, and outline -- Anagnorisis in a theoretical and historical perspective -- Anagnorisis in Aristotle's poetics -- The embarrassments of recognition -- Anagnorisis and the cognitive dimension of John's Gospel -- The semiotics of recognition -- The dual appearance of the observed -- How to display the recognition Mark : showing, telling, and whispering -- Aspects of recognition : identification and social recognition -- Anagnorisis as a type-scene in ancient literature -- The meeting -- The move of cognitive resistance -- The move of displaying the token -- The moment of recognition -- Attendant reactions and physical (re-)union -- Anagnorisis and arrival (John 1-4) -- Anagnorisis within the matrix of John's narrative -- Prologue and prejudice : prefatory whisperings -- The prologue's web of identity relations -- The logos changes its guise -- Recognizing a stranger : comparing Jesus with Odysseus -- Establishing Jesus' presence in the story-world (1:19-51) -- John the Baptist : recognizing the wrong man (1:19-28) -- Jesus and John the Baptist : from baptismal scene to recognition scene (1:29-34) -- Jesus and the disciples : call narratives in the form of recognition scenes (1:35-51) -- Semeia as Semata : tokens of Jesus' divine doxa -- Jesus and the Samaritan woman (4:4-42) : betrothal and recognition -- Recognition in conflict (John 5-19) -- John 5:1-18 : a recognition parody -- "I am" : a recognition formula -- John 9 : blindness and insight -- The recognition scenes of the hour -- The exposure of Judas as traitor (13:18-30) -- Jesus' arrest : from discovery to self-disclosure (18:1-12) -- Peter's denial (18:15-18, 25-27) -- Jesus judged by Pilate : by what law? …”
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The Origin of Forced Labor in the Soviet State, 1917-1921 : Documents and Materials / by Bunyan, James, 1898-1977

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The Origin of Forced Labor in the Soviet State, 1917-1921 : Documents and Materials / by Bunyan, James, 1898-1977

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Persuasion IQ the 10 skills you need to get exactly what you want / by Mortensen, Kurt W.

Table of Contents: “…The new rules of success and wealth -- Persuasion resistance: ten common obstacles that limit your persuasion success -- PQ skill #1: Mental programming of top persuaders -- PQ skill #2: Understanding how your audience thinks -- PQ skill #3: Instant rapport and social synchronization -- PQ skill #4: Establishing automatic trust -- PQ skill #5: Command attention with power and authority -- PQ skill #6: The ability to influence other people -- PQ skill #7: How to motivate yourself and others every time -- PQ skill #8: Advanced presentation and communication skills -- PQ skill #9: Preplanned anticipation: the secret formulas of the pros -- PQ skill #10: Self-mastery and personal development -- Final thoughts: time to capture your greatness.…”
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Persuasion IQ the 10 skills you need to get exactly what you want / by Mortensen, Kurt W.

Table of Contents: “…The new rules of success and wealth -- Persuasion resistance: ten common obstacles that limit your persuasion success -- PQ skill #1: Mental programming of top persuaders -- PQ skill #2: Understanding how your audience thinks -- PQ skill #3: Instant rapport and social synchronization -- PQ skill #4: Establishing automatic trust -- PQ skill #5: Command attention with power and authority -- PQ skill #6: The ability to influence other people -- PQ skill #7: How to motivate yourself and others every time -- PQ skill #8: Advanced presentation and communication skills -- PQ skill #9: Preplanned anticipation: the secret formulas of the pros -- PQ skill #10: Self-mastery and personal development -- Final thoughts: time to capture your greatness.…”
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New Methods for Measuring and Analyzing Segregation by Fossett, Mark

Table of Contents: “…Introduction and Goals -- 2. Alternative Formulas for Selected Indices -- 3. Overview of the “Difference of Means” Framework -- 4. …”
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New Methods for Measuring and Analyzing Segregation by Fossett, Mark

Table of Contents: “…Introduction and Goals -- 2. Alternative Formulas for Selected Indices -- 3. Overview of the “Difference of Means” Framework -- 4. …”
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QCD as a theory of hadrons from partons to confinement / by Narison, S.

Table of Contents: “…MS scheme for QCD and QED -- Pt. IV. Deep inelastic scatterings at hadron colliders -- Pt. …”
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QCD as a theory of hadrons from partons to confinement / by Narison, S.

Table of Contents: “…MS scheme for QCD and QED -- Pt. IV. Deep inelastic scatterings at hadron colliders -- Pt. …”
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Electrical energy efficiency technologies and applications /

Table of Contents: “…Australia 9.1.2. USA 9.1.3. Europe 9.1.4. Market figures 9.1.5. Formulas for losses evaluation - American and European 4 - BUILDING AUTOMATION, SUPERVISION, MONITORING AND CONTROL Angelo Baggini, Annalisa Marra 1. …”
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Electrical energy efficiency technologies and applications /

Table of Contents: “…Australia 9.1.2. USA 9.1.3. Europe 9.1.4. Market figures 9.1.5. Formulas for losses evaluation - American and European 4 - BUILDING AUTOMATION, SUPERVISION, MONITORING AND CONTROL Angelo Baggini, Annalisa Marra 1. …”
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Crystals and crystallinity in polymers : diffraction analysis of ordered and disordered crystals / by De Rosa, Claudio

Table of Contents: “…Machine generated contents note: Chapter 1 Configuration and Conformation of Macromolecules in Polymer Crystals 1.1 Crystals of polymers 1.2 Constitution and configuration of crystalline polymers 1.3 Conformation 1.4 Relationships among internal parameters of macromolecules 1.5 Conformation of polymer chains in the crystalline state 1.6 Helical conformations in isotactic and syndiotactic polymers 1.7 Conformational energy calculations 1.8 Helical conformation and optical activity 1.9 Alternating copolymers 1.10 Polydienes 1.11 Non helical chain conformations of isotactic polymers References Chapter 1 Chapter 2 Packing of macromolecules in polymer crystals 2.1 General principles 2.2 The principle of density (entropy)-driven phase formation in polymers 2.3 Symmetry breaking 2.4 Impact of chain folding on crystal structure symmetry 2.5 Frustrated Polymer Crystal Structures 2.6 Chiral crystallization of polymers with helical chain conformations 2.7 Packing effects on the conformation of polymer chains in the crystals: the case of aliphatic polyamides References Chapter 2 Chapter 3 3.1 X-ray diffraction of semicrystalline polymers 3.2 Fourier synthesis and the phase problem in crystallography 3.3 X-ray fiber diffraction analysis 3.4 Determination of parameters of the unit cell and indexing of the diffraction pattern 3.5 Measure of the integrated intensities of the reflections and corrections for geometrical (Lorentz), polarization and absorption factors 3.6 Calculation of Structure Factors 3.7 Structural refinement 3.8 Form of diffraction pattern and broadening due to the Laue function References Chapter 3 Chapter 4 Defects and Disorder in Polymer Crystals 4.1 Classification of different types of structural disorder 4.2 Crystals with partial three-dimensional order (Class A)Disorder with three-dimensional periodicity maintained only for some characterizing points of the structure 4.3 Solid mesophases References Chapter 4 Chapter 5 Methods of Analysis of Diffuse Scattering from Disordered Structures of Polymers 5.1 Structural disorder and diffuse scattering 5.2 Methods of diffraction analysis from disordered crystals 5.3 Long Range Order in Disordered Lattices of Class A 5.4 Short Range Order in Disordered Crystals of Class A 5.5 Short Range Order in Disordered Crystals with Substitution type Disorder 5.6 Short Range vs Long Range Order in Disordered Crystals of Class B and C (Solid Mesophases) 5.7 Disordered Models with Perturbations Occurring over Continuous Ranges 5.8 Basic formulas for the calculation of X-ray Diffraction Intensity from Disordered Model Structures of Polymers 5.9 Examples of calculation of average diffracted intensity of structures disordered in one dimension 5.10 Integration method of diffraction intensity for cylindrically and spherical surfaces in the reciprocal space References Chapter 5 Chapter 6 Crystal habit 6.1 Basic remark 6.2 Rounded lateral habits 6.3 Chain folding, molecular orientation and sectorization 6.4 Twinning and secondary nucleation theory 6.5 Homoepitaxy, morphology, stem orientation and polymorphism References Chapter 6 Chapter 7 Influence of Crystal Defects and Structural Disorder on the Physical and Mechanical Properties of Polymeric Materials 7.1 Introduction 7.2 Stress induced phase transformations during deformation 7.3 Isotactic polypropylene 7.4 Syndiotactic Polypropylene References Chapter 7.…”
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Crystals and crystallinity in polymers : diffraction analysis of ordered and disordered crystals / by De Rosa, Claudio

Table of Contents: “…Machine generated contents note: Chapter 1 Configuration and Conformation of Macromolecules in Polymer Crystals 1.1 Crystals of polymers 1.2 Constitution and configuration of crystalline polymers 1.3 Conformation 1.4 Relationships among internal parameters of macromolecules 1.5 Conformation of polymer chains in the crystalline state 1.6 Helical conformations in isotactic and syndiotactic polymers 1.7 Conformational energy calculations 1.8 Helical conformation and optical activity 1.9 Alternating copolymers 1.10 Polydienes 1.11 Non helical chain conformations of isotactic polymers References Chapter 1 Chapter 2 Packing of macromolecules in polymer crystals 2.1 General principles 2.2 The principle of density (entropy)-driven phase formation in polymers 2.3 Symmetry breaking 2.4 Impact of chain folding on crystal structure symmetry 2.5 Frustrated Polymer Crystal Structures 2.6 Chiral crystallization of polymers with helical chain conformations 2.7 Packing effects on the conformation of polymer chains in the crystals: the case of aliphatic polyamides References Chapter 2 Chapter 3 3.1 X-ray diffraction of semicrystalline polymers 3.2 Fourier synthesis and the phase problem in crystallography 3.3 X-ray fiber diffraction analysis 3.4 Determination of parameters of the unit cell and indexing of the diffraction pattern 3.5 Measure of the integrated intensities of the reflections and corrections for geometrical (Lorentz), polarization and absorption factors 3.6 Calculation of Structure Factors 3.7 Structural refinement 3.8 Form of diffraction pattern and broadening due to the Laue function References Chapter 3 Chapter 4 Defects and Disorder in Polymer Crystals 4.1 Classification of different types of structural disorder 4.2 Crystals with partial three-dimensional order (Class A)Disorder with three-dimensional periodicity maintained only for some characterizing points of the structure 4.3 Solid mesophases References Chapter 4 Chapter 5 Methods of Analysis of Diffuse Scattering from Disordered Structures of Polymers 5.1 Structural disorder and diffuse scattering 5.2 Methods of diffraction analysis from disordered crystals 5.3 Long Range Order in Disordered Lattices of Class A 5.4 Short Range Order in Disordered Crystals of Class A 5.5 Short Range Order in Disordered Crystals with Substitution type Disorder 5.6 Short Range vs Long Range Order in Disordered Crystals of Class B and C (Solid Mesophases) 5.7 Disordered Models with Perturbations Occurring over Continuous Ranges 5.8 Basic formulas for the calculation of X-ray Diffraction Intensity from Disordered Model Structures of Polymers 5.9 Examples of calculation of average diffracted intensity of structures disordered in one dimension 5.10 Integration method of diffraction intensity for cylindrically and spherical surfaces in the reciprocal space References Chapter 5 Chapter 6 Crystal habit 6.1 Basic remark 6.2 Rounded lateral habits 6.3 Chain folding, molecular orientation and sectorization 6.4 Twinning and secondary nucleation theory 6.5 Homoepitaxy, morphology, stem orientation and polymorphism References Chapter 6 Chapter 7 Influence of Crystal Defects and Structural Disorder on the Physical and Mechanical Properties of Polymeric Materials 7.1 Introduction 7.2 Stress induced phase transformations during deformation 7.3 Isotactic polypropylene 7.4 Syndiotactic Polypropylene References Chapter 7.…”
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Mixed models theory and applications with R / by Demidenko, Eugene, 1948-

Table of Contents: “…331.16 Software and books361.17 Summary points 372 MLE for LME Model 412.1 Example: Weight versus height 422.2 The model and log-likelihood functions 452.3 Balanced random-coefficient model 602.4 LME model with random intercepts 642.5 Criterion for the MLE existence 722.6 Criterion for positive definiteness of matrix D742.7 Preestimation bounds for variance parameters 772.8 Maximization algorithms792.9 Derivatives of the log-likelihood function 812.10 Newton--Raphson algorithm 832.11 Fisher scoring algorithm852.12 EM algorithm 882.13 Starting point 932.14 Algorithms for restricted MLE 962.15 Optimization on nonnegative definite matrices 972.16 lmeFS and lme in R 1082.17 Appendix: Proof of the MLE existence 1122.18 Summary points 1153 Statistical Properties of the LME Model 1193.1 Introduction 1193.2 Identifiability of the LMEmodel 1193.3 Information matrix for variance parameters 1223.4 Profile-likelihood confidence intervals 1333.5 Statistical testing of the presence of random effects 1353.6 Statistical properties of MLE 1393.7 Estimation of random effects 1483.8 Hypothesis and membership testing 1533.9 Ignoring random effects 1573.10 MINQUE for variance parameters 1603.11 Method of moments 1693.12 Variance least squares estimator 1733.13 Projection on D+ space 1783.14 Comparison of the variance parameter estimation 1783.15 Asymptotically efficient estimation for [beta] 1823.16 Summary points 1834 Growth Curve Model and Generalizations 1874.1 Linear growth curve model 1874.2 General linear growth curve model 2034.3 Linear model with linear covariance structure 2214.4 Robust linear mixed effects model 2354.5 Appendix: Derivation of the MM estimator 2434.6 Summary points 2445 Meta-analysis Model 2475.1 Simple meta-analysis model 2485.2 Meta-analysis model with covariates 2755.3 Multivariate meta-analysis model 2805.4 Summary points 2916 Nonlinear Marginal Model 2936.1 Fixed matrix of random effects 2946.2 Varied matrix of random effects 3076.3 Three types of nonlinear marginal models 3186.4 Total generalized estimating equations approach 3236.5 Summary points 3307 Generalized Linear Mixed Models 3337.1 Regression models for binary data 3347.2 Binary model with subject-specific intercept 3577.3 Logistic regression with random intercept 3647.4 Probit model with random intercept 3847.5 Poisson model with random intercept 3887.6 Random intercept model: overview 4037.7 Mixed models with multiple random effects 4047.8 GLMM and simulation methods 4137.9 GEE for clustered marginal GLM 4187.10 Criteria for MLE existence for binary model 4267.11 Summary points 4318 Nonlinear Mixed Effects Model 4358.1 Introduction 4358.2 The model 4368.3 Example: Height of girls and boys 4398.4 Maximum likelihood estimation 4418.5 Two-stage estimator 4448.6 First-order approximation 4508.7 Lindstrom--Bates estimator 4528.8 Likelihood approximations 4578.9 One-parameter exponential model 4608.10 Asymptotic equivalence of the TS and LB estimators 4678.11 Bias-corrected two-stage estimator 4698.12 Distribution misspecification 4718.13 Partially nonlinear marginal mixed model 4748.14 Fixed sample likelihood approach4758.15 Estimation of random effects and hypothesis testing 4788.16 Example (continued) 4798.17 Practical recommendations 4818.18 Appendix: Proof of theorem on equivalence 4828.19 Summary points 4859 Diagnostics and Influence Analysis 4899.1 Introduction 4899.2 Influence analysis for linear regression 4909.3 The idea of infinitesimal influence 4939.4 Linear regression model 4959.5 Nonlinear regression model 5129.6 Logistic regression for binary outcome 5179.7 Influence of correlation structure 5269.8 Influence of measurement error 5279.9 Influence analysis for the LME model 5309.10 Appendix: MLE derivative with respect to σ2 5369.11 Summary points 53710 Tumor Regrowth Curves 54110.1 Survival curves 54310.2 Double--exponential regrowth curve 54510.3 Exponential growth with fixed regrowth time 55910.4 General regrowth curve 56510.5 Double--exponential transient regrowth curve 56610.6 Gompertz transient regrowth curve 57310.7 Summary points 57611 Statistical Analysis of Shape 57911.1 Introduction 57911.2 Statistical analysis of random triangles 58111.3 Face recognition 58411.4 Scale-irrelevant shape model 58511.5 Gorilla vertebrae analysis 58911.6 Procrustes estimation of the mean shape 59111.7 Fourier descriptor analysis 59811.8 Summary points 60712 Statistical Image Analysis 60912.1 Introduction 60912.2 Testing for uniform lighting 61212.3 Kolmogorov--Smirnov image comparison 61612.4 Multinomial statistical model for images 62012.5 Image entropy 62312.6 Ensemble of unstructured images 62712.7 Image alignment and registration 64012.8 Ensemble of structured images 65212.9 Modeling spatial correlation 65412.10 Summary points 66013 Appendix: Useful Facts and Formulas 66313.1 Basic facts of asymptotic theory 66313.2 Some formulas of matrix algebra 67013.3 Basic facts of optimization theory 674References 683Index 713.…”
An electronic book accessible through the World Wide Web; click to view

Mixed models theory and applications with R / by Demidenko, Eugene, 1948-

Table of Contents: “…331.16 Software and books361.17 Summary points 372 MLE for LME Model 412.1 Example: Weight versus height 422.2 The model and log-likelihood functions 452.3 Balanced random-coefficient model 602.4 LME model with random intercepts 642.5 Criterion for the MLE existence 722.6 Criterion for positive definiteness of matrix D742.7 Preestimation bounds for variance parameters 772.8 Maximization algorithms792.9 Derivatives of the log-likelihood function 812.10 Newton--Raphson algorithm 832.11 Fisher scoring algorithm852.12 EM algorithm 882.13 Starting point 932.14 Algorithms for restricted MLE 962.15 Optimization on nonnegative definite matrices 972.16 lmeFS and lme in R 1082.17 Appendix: Proof of the MLE existence 1122.18 Summary points 1153 Statistical Properties of the LME Model 1193.1 Introduction 1193.2 Identifiability of the LMEmodel 1193.3 Information matrix for variance parameters 1223.4 Profile-likelihood confidence intervals 1333.5 Statistical testing of the presence of random effects 1353.6 Statistical properties of MLE 1393.7 Estimation of random effects 1483.8 Hypothesis and membership testing 1533.9 Ignoring random effects 1573.10 MINQUE for variance parameters 1603.11 Method of moments 1693.12 Variance least squares estimator 1733.13 Projection on D+ space 1783.14 Comparison of the variance parameter estimation 1783.15 Asymptotically efficient estimation for [beta] 1823.16 Summary points 1834 Growth Curve Model and Generalizations 1874.1 Linear growth curve model 1874.2 General linear growth curve model 2034.3 Linear model with linear covariance structure 2214.4 Robust linear mixed effects model 2354.5 Appendix: Derivation of the MM estimator 2434.6 Summary points 2445 Meta-analysis Model 2475.1 Simple meta-analysis model 2485.2 Meta-analysis model with covariates 2755.3 Multivariate meta-analysis model 2805.4 Summary points 2916 Nonlinear Marginal Model 2936.1 Fixed matrix of random effects 2946.2 Varied matrix of random effects 3076.3 Three types of nonlinear marginal models 3186.4 Total generalized estimating equations approach 3236.5 Summary points 3307 Generalized Linear Mixed Models 3337.1 Regression models for binary data 3347.2 Binary model with subject-specific intercept 3577.3 Logistic regression with random intercept 3647.4 Probit model with random intercept 3847.5 Poisson model with random intercept 3887.6 Random intercept model: overview 4037.7 Mixed models with multiple random effects 4047.8 GLMM and simulation methods 4137.9 GEE for clustered marginal GLM 4187.10 Criteria for MLE existence for binary model 4267.11 Summary points 4318 Nonlinear Mixed Effects Model 4358.1 Introduction 4358.2 The model 4368.3 Example: Height of girls and boys 4398.4 Maximum likelihood estimation 4418.5 Two-stage estimator 4448.6 First-order approximation 4508.7 Lindstrom--Bates estimator 4528.8 Likelihood approximations 4578.9 One-parameter exponential model 4608.10 Asymptotic equivalence of the TS and LB estimators 4678.11 Bias-corrected two-stage estimator 4698.12 Distribution misspecification 4718.13 Partially nonlinear marginal mixed model 4748.14 Fixed sample likelihood approach4758.15 Estimation of random effects and hypothesis testing 4788.16 Example (continued) 4798.17 Practical recommendations 4818.18 Appendix: Proof of theorem on equivalence 4828.19 Summary points 4859 Diagnostics and Influence Analysis 4899.1 Introduction 4899.2 Influence analysis for linear regression 4909.3 The idea of infinitesimal influence 4939.4 Linear regression model 4959.5 Nonlinear regression model 5129.6 Logistic regression for binary outcome 5179.7 Influence of correlation structure 5269.8 Influence of measurement error 5279.9 Influence analysis for the LME model 5309.10 Appendix: MLE derivative with respect to σ2 5369.11 Summary points 53710 Tumor Regrowth Curves 54110.1 Survival curves 54310.2 Double--exponential regrowth curve 54510.3 Exponential growth with fixed regrowth time 55910.4 General regrowth curve 56510.5 Double--exponential transient regrowth curve 56610.6 Gompertz transient regrowth curve 57310.7 Summary points 57611 Statistical Analysis of Shape 57911.1 Introduction 57911.2 Statistical analysis of random triangles 58111.3 Face recognition 58411.4 Scale-irrelevant shape model 58511.5 Gorilla vertebrae analysis 58911.6 Procrustes estimation of the mean shape 59111.7 Fourier descriptor analysis 59811.8 Summary points 60712 Statistical Image Analysis 60912.1 Introduction 60912.2 Testing for uniform lighting 61212.3 Kolmogorov--Smirnov image comparison 61612.4 Multinomial statistical model for images 62012.5 Image entropy 62312.6 Ensemble of unstructured images 62712.7 Image alignment and registration 64012.8 Ensemble of structured images 65212.9 Modeling spatial correlation 65412.10 Summary points 66013 Appendix: Useful Facts and Formulas 66313.1 Basic facts of asymptotic theory 66313.2 Some formulas of matrix algebra 67013.3 Basic facts of optimization theory 674References 683Index 713.…”
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Mastering Lean Six Sigma advanced black belt concepts / by Taghizadegan, Salman, 1957-

Table of Contents: “…Statistical tables and formulas -- Appendix III. Values of y = exp(-[nu]) -- Appendix IV. …”
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Mastering Lean Six Sigma advanced black belt concepts / by Taghizadegan, Salman, 1957-

Table of Contents: “…Statistical tables and formulas -- Appendix III. Values of y = exp(-[nu]) -- Appendix IV. …”
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Probabilistic inequalities by Anastassiou, George A., 1952-

Table of Contents: “…Multidimensional Montgomery identities and Ostrowski type inequalities -- 4. General probabilistic inequalities -- 5. About Grothendieck inequalities -- 6. …”
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Probabilistic inequalities by Anastassiou, George A., 1952-

Table of Contents: “…Multidimensional Montgomery identities and Ostrowski type inequalities -- 4. General probabilistic inequalities -- 5. About Grothendieck inequalities -- 6. …”
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