Tabla de Contenidos: “…Renforcer la concurrence sur les marchés de produits -- C. Améliorer les résultats du système éducatif -- D. …”

Tabla de Contenidos: “…A.3 Sustainability Cultural Indicators Program (SCIP) -- A.4 Army Study to Assess Risk and Resilience in Service members (STARRS) -- A.5 Panel Study of Income Dynamics Childhood Retrospective Circumstances Study (PSID-CRCS) -- Appendix 10.B: Smartphone Prevalence in Web Surveys -- Appendix 10.C: Screen Captures from Peterson et al. (2013) Experiment -- Appendix 10.D: Survey Questions Used in the Analysis of the Peterson et al. (2013) Experiment -- References -- Chapter 11 Survey Research and the Quality of Survey Data Among Ethnic Minorities -- 11.1 Introduction -- 11.2 On the Use of the Terms Ethnicity and Ethnic Minorities -- 11.3 On the Representation of Ethnic Minorities in Surveys -- 11.3.1 Coverage of Ethnic Minorities -- 11.3.2 Factors Affecting Nonresponse Among Ethnic Minorities -- 11.3.3 Postsurvey Adjustment Issues Related to Surveys Among Ethnic Minorities -- 11.4 Measurement Issues -- 11.4.1 The Tradeoff When Using Response-Enhancing Measures -- 11.5 Comparability, Timeliness, and Cost Concerns -- 11.5.1 Comparability -- 11.5.2 Timeliness and Cost Considerations -- 11.6 Conclusion -- References -- Section 3 Data Collection and Data Processing Applications -- Chapter 12 Measurement Error in Survey Operations Management: Detection, Quantification, Visualization, and Reduction -- 12.1 TSE Background on Survey Operations -- 12.2 Better and Better: Using Behavior Coding (CARIcode) and Paradata to Evaluate and Improve Question (Specification) Erro... -- 12.2.1 CARI Coding at Westat -- 12.2.2 CARI Experiments -- 12.3 Field-Centered Design: Mobile App for Rapid Reporting and Management -- 12.3.1 Mobile App Case Study -- 12.3.2 Paradata Quality -- 12.4 Faster and Cheaper: Detecting Falsification With GIS Tools -- 12.5 Putting It All Together: Field Supervisor Dashboards -- 12.5.1 Dashboards in Operations -- 12.5.2 Survey Research Dashboards…”

Tabla de Contenidos: “…21.4 Amortized Performance and Average Performance -- 21.5 Two Principles: Reducing Overhead and Managing Memory -- 21.6 Performance Tip: Use Numerical Libraries When Applicable -- 21.7 Performance Tip: Delete Large Structures You Don't Need -- 21.8 Performance Tip: Use Built-In Functions When Possible -- 21.9 Performance Tip: Avoid Superfluous Function Calls -- 21.10 Performance Tip: Avoid Creating Large New Objects -- 21.11 Further Reading -- 21.12 Glossary -- Part III Specialized or Advanced Topics -- Chapter 22 Computer Memory and Data Structures -- 22.1 Virtual Memory, the Stack, and the Heap -- 22.2 Example C Program -- 22.3 Data Types and Arrays in Memory -- 22.4 Structs -- 22.5 Pointers, the Stack, and the Heap -- 22.6 Key Data Structures -- 22.7 Further Reading -- 22.8 Glossary -- Chapter 23 Maximum Likelihood Estimation and Optimization -- 23.1 Maximum Likelihood Estimation -- 23.2 A Simple Example: Fitting a Line -- 23.3 Another Example: Logistic Regression -- 23.4 Optimization -- 23.5 Gradient Descent and Convex Optimization -- 23.6 Convex Optimization -- 23.7 Stochastic Gradient Descent -- 23.8 Further Reading -- 23.9 Glossary -- Chapter 24 Advanced Classifiers -- 24.1 A Note on Libraries -- 24.2 Basic Deep Learning -- 24.3 Convolutional Neural Networks -- 24.4 Different Types of Layers. …”

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