Search Results - "Subjectivity"
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- History 333
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Strategic approaches in coronary intervention /
Published 2006Table of Contents: “…Bhatt -- Catheter-based radiation / Ron Waksman -- Coated stents-approaches to a complex subject -- Plaque sealing / Bernhard Meier -- Transradial approach / Joseph G. …”
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Low-Income Students, Human Development and Higher Education in South Africa : Opportunities, obstacles and outcomes
Published 2022Table of Contents: “…Cover -- Title page -- Copyright page -- Contents -- About the authors -- Acknowledgements -- CHAPTER 1 -- Raising 'learning outcomes' for inclusive higher education: The Miratho Project -- Rationale for pursuing the human development capability approach (CA) -- Methodology and methods of data generation -- Note on data analysis -- The longitudinal life-history interviews -- Participatory research -- Student survey -- Ethical conduct of the research -- Use of secondary datasets -- Capability-based learning outcomes in the Miratho Matrix -- Conclusion -- CHAPTER 2 -- Capabilities and functionings: Reconceptualising learning outcomes -- Part 1: The capability approach, poverty and higher education -- Poverty reduction and the capability approach -- Higher education and the capability approach -- Part 2: Problematising 'learning outcomes' for inclusive higher education -- The politics of learning outcomes -- Measurement challenges -- Part 3: Learning outcomes as capability-based key functionings -- Learning outcomes at the level of teaching sessions and modules -- Learning outcomes at the level of programmes and institutions -- Conclusion -- CHAPTER 3 -- A challenging context and intersectional conversion factors -- Objective conversion factors: Society and economy -- Objective conversion factors: University -- Foregrounding poverty -- Brief commentary on the hardship numbers -- Poverty and well-being of university students -- Subjective conversion factors emerging from life-history interviews -- Conclusion -- CHAPTER 4 -- The Miratho Capabilitarian Matrix: Evaluating individual achievements and institutional arrangements -- Step one: A principled method -- Step two: Identifying capability domains and key functionings -- Epistemic contribution domain -- Ubuntu domain -- Practical reason domain -- Navigation domain -- Narrative domain.…”
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The encyclopedia of strikes in American history
Published 2009Table of Contents: “…Letwin -- Musician strikes / Damone Richardson -- Striking the ivory tower: student employee strikes at private universities / Mandi Isaacs Jackson -- The Boston University strike of 1979 / Gary Zabel -- Strikes by professional athletes / Michael Schiavone -- Nurses on strike / Lisa Hayes -- Organizing home health care workers in New York City / Immanuel Ness -- Bibliography -- Name index -- General subject index.…”
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Fatigue of materials and structures application to design and damage /
Published 2011Table of Contents: “…Superposition" method -- 3.4.5.Superposition method: applicable examples -- 3.4.6.Numerical application exercise -- 3.5.Performing some "damage tolerance" calculations -- 3.5.1.Complementarity of fatigue and damage tolerance -- 3.5.2.Safety coefficients to understand curve a = f(N) -- 3.5.3.Acquisition of the material parameters -- 3.5.4.Negative parameter: corrosion -- "corrosion fatigue" -- 3.6.Application to the residual strength of thin sheets -- 3.6.1.Planar panels: Feddersen diagram -- 3.6.2.Case of stiffened panels -- 3.7.Propagation of cracks subjected to random loading in the aeronautic industry -- 3.7.1.Modeling of the interactions of loading cycles -- 3.7.2.Comparison of predictions with experimental results -- 3.7.3.Rainflow treatment of random loadings -- 3.8.Conclusion -- 3.8.1.Organization of the evolution of "damage tolerance" -- 3.8.2.Structural maintenance program -- 3.8.3.Inspection of structures being used -- 3.9.Damage tolerance within the gigacyclic domain -- 3.9.1.Observations on crack propagation -- 3.9.2.Propagation of a fish-eye with regards to damage tolerance -- 3.9.3.Example of a turbine disk subjected to vibration -- 3.10.Bibliography -- ch. 4 Defect Influence on the Fatigue Behavior of Metallic Materials / Gilles Baudry -- 4.1.Introduction -- 4.2.Some facts -- 4.2.1.Failure observation -- 4.2.2.Endurance limit level -- 4.2.3.Influence of the rolling reduction ratio and the effect of rolling direction -- 4.2.4.Low cycle fatigue: SN curves -- 4.2.5.Wohler curve: existence of an endurance limit -- 4.2.6.Summary -- 4.3.Approaches -- 4.3.1.First models -- 4.3.2.Kitagawa diagram -- 4.3.3.Murakami model -- 4.4.A few examples -- 4.4.1.Medium-loaded components: example of as-forged parts: connecting rods -- effect of the forging skin -- 4.4.2.High-loaded components: relative importance of cleanliness and surface state -- example of the valve spring -- 4.4.3.High-loaded components: Bearings-Endurance cleanliness relationship -- 4.5.Prospects -- 4.5.1.Estimation of lifetimes and their dispersions -- 4.5.2.Fiber orientation -- 4.5.3.Prestressing -- 4.5.4.Corrosion -- 4.5.5.Complex loadings: spectra/over-loadings/multiaxial loadings -- 4.5.6.Gigacycle fatigue -- 4.6.Conclusion -- 4.7.Bibliography -- ch. 5 Fretting Fatigue: Modeling and Applications / Trevor Lindley -- 5.1.Introduction -- 5.2.Experimental methods -- 5.2.1.Fatigue specimens and contact pads -- 5.2.2.Fatigue S-N data with and without fretting -- 5.2.3.Frictional force measurement -- 5.2.4.Metallography and fractography -- 5.2.5.Mechanisms in fretting fatigue -- 5.3.Fretting fatigue analysis -- 5.3.1.The S-N approach -- 5.3.2.Fretting modeling -- 5.3.3.Two-body contact -- 5.3.4.Fatigue crack initiation -- 5.3.5.Analysis of cracks: the fracture mechanics approach -- 5.3.6.Propagation -- 5.4.Applications under fretting conditions -- 5.4.1.Metallic material: partial slip regime -- 5.4.2.Epoxy polymers: development of cracks under a total slip regime -- 5.5.Palliatives to combat fretting fatigue -- 5.6.Conclusions -- 5.7.Bibliography -- ch. 6 Contact Fatigue / Ky Dang Van -- 6.1.Introduction -- 6.2.Classification of the main types of contact damage -- 6.2.1.Background -- 6.2.2.Damage induced by rolling contacts with or without sliding effect -- 6.2.3.Fretting -- 6.3.A few results on contact mechanics -- 6.3.1.Hertz solution -- 6.3.2.Case of contact with friction under total sliding conditions -- 6.3.3.Case of contact with partial sliding -- 6.3.4.Elastic contact between two solids of different elastic modules -- 6.3.5.3D elastic contact -- 6.4.Elastic limit -- 6.5.Elastoplastic contact -- 6.5.1.Stationary methods -- 6.5.2.Direct cyclic method -- 6.6.Application to modeling of a few contact fatigue issues -- 6.6.1.General methodology -- 6.6.2.Initiation of fatigue cracks in rails -- 6.6.3.Propagation of initiated cracks -- 6.6.4.Application to fretting fatigue -- 6.7.Conclusion -- 6.8.Bibliography -- ch. 7 Thermal Fatigue / Luc Remy -- 7.1.Introduction -- 7.2.Characterization tests -- 7.2.1.Cyclic mechanical behavior -- 7.2.2.Damage -- 7.3.Constitutive and damage models at variable temperatures -- 7.3.1.Constitutive laws -- 7.3.2.Damage process modeling based on fatigue conditions -- 7.3.3.Modeling the damage process in complex cases: towards considering interactions with creep and oxidation phenomena -- 7.4.Applications -- 7.4.1.Exhaust manifolds in automotive industry -- 7.4.2.Cylinder heads made from aluminum alloys in the automotive industry -- 7.4.3.Brake disks in the rail and automotive industries -- 7.4.4.Nuclear industry pipes -- 7.4.5.Simple structures simulating turbine blades -- 7.5.Conclusion -- 7.6.Bibliography.…”
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Engineering decision making and risk management /
Published 2015Table of Contents: “…Decision Making Under Uncertainty 5.1 Types of Uncertainties 5.2 Assessing a Subjective Probability 5.3 Imprecise Probabilities 5.4 Cumulative Risk Profile and Dominance 5.5 Decision Trees: Modeling 5.6 Decision Trees: Determining Expected Values 5.7 Sequential Decision Making 5.8 Modeling Risk Aversion 5.9 Robustness 5.10 Uncertainty Propagation: Sensitivity Analysis 5.11 Uncertainty Propagation: Method of Moments 5.12 Uncertainty Propagation: Monte Carlo Simulation Exercises References 6. …”
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Bayesian cost-effectiveness analysis of medical treatments /
Published 2019Table of Contents: “…<OL><B><LI>Health economics evaluation </LI></B><P>Introduction </P><P>Conventional types of economic evaluation </P><P>The variables of cost-effectiveness analysis </P><P>Sources of uncertainty in cost-effectiveness analysis </P><P>Conventional tools for cost-effectiveness analysis </P><P>The incremental cost-effectiveness ratio </P><P>The incremental net benefit </P><P>Cost-effectiveness acceptability curve </P><P>Conventional subgroup analysis </P><P>An outline of Bayesian cost-effectiveness analysis </P><B><P></P><P><LI>Statistical inference in parametric models </LI><P></P></B><P>Introduction </P><P>Parametric sampling models </P><P>The likelihood function </P><P>Likelihood sets </P><P>The maximum likelihood estimator </P><P>Proving consistency and asymptotic normality </P><P>Reparametrization to a subparameter </P><P>Parametric Bayesian models </P><P>Subjective priors </P><P>Conjugate priors </P><P>Objective priors </P><P>The predictive distribution </P><P>Bayesian model selection </P><P>Intrinsic priors for model selection </P><P>The normal linear model </P><P>Maximum likelihood estimators </P><P>Bayesian estimators </P><P>An outline of variable selection </P><P></P><B><P><LI>Statistical decision theory </LI><P></P></B><P>Introduction </P><P>Elements of a decision problem </P><P>Ordering rewards </P><P>Lotteries </P><P>The Utility function </P><P>Axioms for the existence of the utility function </P><P>Criticisms to the utility function </P><P>Lotteries that depend on a parameter </P><P>The minimax strategy </P><P>The Bayesian strategy </P><P>Comparison </P><P>Optimal decisions in the presence of sampling information</P><P>The frequentist procedure </P><P>The Bayesian procedure </P><P></P><B><P><LI>Cost-effectiveness analysis. …”
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Tools for infinite dimensional analysis /
Published 2021Taylor & Francis
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Mixed models theory and applications with R /
Published 2013Table 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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Christians under the crescent and Muslims under the cross c.630-1923
Published 2021Taylor & Francis
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Introduction to wavelet transforms
Published 2020Taylor & Francis
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ADVANCED MECHANICAL VIBRATIONS physics, mathematics and applications.
Published 2020Taylor & Francis
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