Tabla de Contenidos: “…. -- Figure 5.1 The physical-digital blur -- Figure 5.2 One Mouse per Child for Basic Math -- Figure 5.3 Estimating the average level of attention in a classroom by analysing head movements -- Figure 5.4 Three types of interventions in domain independent actions -- Figure 5.5 Teaching dashboard of a logistics lesson -- Figure 5.6 Use of a dashboard to increase learning gains -- Figure 5.7 Using dashboards to form dynamic teams -- Figure 5.8 Progression chart of the time extension gain -- Figure 5.9 Progression chart of the time extension gain -- Figure 5.10 Showing teachers their location in the classroom -- Figure 6.1 The ECHOES environment -- Figure 6.2 Making it rain in ECHOES…”

Tabla de Contenidos: “…Evaluating the equalisation system modality -- Equalisation modality hinges on how fiscal capacity is measured -- Data requirements vary with the design of the equalisation system -- Selecting the rate of equalisation -- Equalisation may not supplant all other transfers -- Implementing transition measures -- Guidance from OECD country surveys on equalisation reform -- Enhance the policy neutrality and relevance of cost equalisation -- Equalisation should be carefully targeted to ensure it is not exacerbating disparities nor undermining SCG fiscal autonomy -- Equalisation reform in practice -- In practice, large-scale reforms aim to reinforce subnational fiscal autonomy and stability through the adoption of rules-based equalisation systems -- Italy's comprehensive equalisation reform -- Moving towards rules-based systems -- Enhancing subnational fiscal autonomy -- Reforms to established equalisation systems tend to reinforce transparency and relevance through simplification and updating of formulas -- Simplifying equalisation formulas -- Updating equalisation formulas -- References -- Notes -- 3 Twenty years of tax autonomy across levels of government: Measurement and applications -- Introduction and main findings -- The importance of tax autonomy for sub-central governments -- Measuring tax autonomy -- The use of the OECD's tax autonomy analysis -- Tax autonomy in OECD member countries: Latest update -- Trends in sub-central government tax revenues -- Taxing power of state and local governments in the 2020 exercise -- Changes in tax autonomy 2000 to 2018 -- US local government tax autonomy -- Measuring local government tax autonomy -- Local government tax autonomy: The United States compared with the OECD average -- Tax autonomy by type of tax -- Tax autonomy by state -- References -- Notes…”

Tabla de Contenidos: “…Other popular image testing datasets -- The CIFAR dataset -- The Fashion-MNIST dataset -- The ImageNet dataset and competition -- The bigger deep learning models -- The AlexNet model -- The VGG-16 model -- The Google Inception-V3 model -- The Microsoft ResNet-50 model -- The SqueezeNet model -- Spatial transformer networks -- The DenseNet model -- Training a model for cats versus dogs -- Preparing the data -- Benchmarking with simple CNN -- Augmenting the dataset -- Augmentation techniques -- Transfer learning or fine-tuning of a model -- Training on bottleneck features -- Fine-tuning several layers in deep learning -- Developing real-world applications -- Choosing the right model -- Tackling the underfitting and overfitting scenarios -- Gender and age detection from face -- Fine-tuning apparel models -- Brand safety -- Summary -- Chapter 3: Image Retrieval -- Understanding visual features -- Visualizing activation of deep learning models -- Embedding visualization -- Guided backpropagation -- The DeepDream -- Adversarial examples -- Model inference -- Exporting a model -- Serving the trained model -- Content-based image retrieval -- Building the retrieval pipeline -- Extracting bottleneck features for an image -- Computing similarity between query image and target database -- Efficient retrieval -- Matching faster using approximate nearest neighbour -- Advantages of ANNOY -- Autoencoders of raw images -- Denoising using autoencoders -- Summary -- Chapter 4: Object Detection -- Detecting objects in an image -- Exploring the datasets -- ImageNet dataset -- PASCAL VOC challenge -- COCO object detection challenge -- Evaluating datasets using metrics -- Intersection over Union -- The mean average precision -- Localizing algorithms -- Localizing objects using sliding windows -- The scale-space concept…”

Tabla de Contenidos: “…The data flow computation paradigm -- An introduction to the RxCpp library -- The RxCpp library and its programming model -- A simple Observable/Observer interaction -- Filters and Transformations with Observables -- Streaming values from C++ containers -- Creating Observables from the scratch -- Concatenating Observable Streams -- Unsubscribing from Observable Streams -- An introduction to marble diagrams for visual representation -- RxCpp (Stream) Operators -- The average Operator -- The Scan Operator -- Composing Operators through the pipe Operator -- Working with Schedulers -- A tale of two Operators - flatmap versus concatmap -- Other Important Operators -- A peek into the things we haven't covered yet -- Summary -- Chapter 8: RxCpp - the Key Elements -- Observables -- What's a Producer? …”

Tabla de Contenidos: “…Heat in Metal Cutting -- 9.1 Heat Sources in Metal Cutting and Cutting Temperature -- 9.2 Heat Flow and Distribution in the Cutting Zone -- 9.3 Prediction and Modelling of Temperatures in the Cutting Zone -- 9.3.1 Calculation of Temperature Rise Due to Plastic Deformation in the PDZ -- 9.3.2 Calculation of Average and Maximum Interface Temperatures -- 9.3.3 FEM and FDA Prediction of Cutting Temperature -- 9.4 Measurements of Temperatures in the Cutting Zone -- References -- 10. …”

Tabla de Contenidos: “…An Analysis of Consumption Profiles for Categories of Danish Electricity Customers -- INTRODUCTION -- DATA FOR HOURLY ELECTRICITY CONSUMPTION -- AVERAGE HOURLY CONSUMPTION AND SPOT MARKET PRICE PROFILES…”

Tabla de Contenidos: “…Qualitative Methods -- Delphi Technique -- Nominal Group Method -- Market Research -- Time-series Analysis -- Moving Average Method -- Exponential Smoothing -- Tracking Signal -- Decision Making -- Decision Trees -- Management Information Systems and Decision Support Systems -- Scenario Planning -- Forces of Scenario Planning -- Steps for Scenario Planning -- Case Kumar.com: Problems Suffered due to Poor Planning -- Summary -- Key Terms -- Review Questions -- Critical Thinking Questions -- References -- Further Reading -- Annexure 2.1 -- Annexure 2.2 -- Chapter 3: Organizing -- Introduction -- Concept of Organization -- Theories of Organization -- Principles of Organization -- Human Factors Behind Organizing -- Important Steps in Organizing -- Benefits of Organizing -- Types of Organizations -- Systems View of Organizations -- Organizational Structure and Systems -- Organization Structure -- Drucker's approach -- Mintzberg's approach -- Types of Organization Structures -- Organizational Effectiveness -- Developing an Organization Structure or Design -- Dynamic Organizational Structure and Departmentation -- Principles of Departmentation -- Process of Departmentation -- Patterns Used in Departmentation -- Departmentation by functions -- Departmentation by products or services -- Departmentation by locations or territories -- Departmentation by time -- Departmentation by process and equipment -- Departmentation by customers -- Hybrid structure -- Matrix structure -- Organization Structure in a Globalized World -- Virtual or Networked Organizations -- Organizing as Part of the Total Management Task -- Delegation of Authority -- Features of authority delegation -- Principles of delegation -- Barriers to delegation -- Decentralization -- Decentralization versus centralization -- Criteria for decentralization -- Need for decentralization…”

Tabla de Contenidos: “…11.5 Experimental Design of an Adaptively Linearized UMTS Receiver -- 11.6 Experimental Results of an Adaptively Linearized UMTS Receiver -- 11.7 Conclusions -- III TRANSMITTER TECHNIQUES -- 12 Linearity and Efficiency Strategies for Next-Generation Wireless Communications (Lawrence Larson,Peter Asbeck, and Donald Kimball) -- 12.1 Introduction -- 12.2 Power Amplifier Function -- 12.3 Power Amplifier Efficiency Enhancement -- 12.4 Techniques for Linearity Enhancement -- 12.5 Conclusions -- 13 CMOS RF Power Amplifiers for Mobile Communications (Patrick Reynaert) -- 13.1 Introduction -- 13.2 Challenges -- 13.3 Low Supply Voltage -- 13.4 Average Efficiency, Dynamic Range, and Linearity -- 13.5 Polar Modulation -- 13.6 Distortion in a Polar-Modulated Power Amplifier -- 13.7 Design and Implementation of a Polar-Modulated Power Amplifier -- 13.8 Conclusions -- 14 Digitally Assisted RF Architectures: Two Illustrative Designs (Joel L. …”

Tabla de Contenidos: “…-- Cultural Factors -- Social Factors -- Personal Factors -- Marketing Memo: The Average U.S. Consumer Quiz -- Key Psychological Processes -- Motivation -- Perception -- Marketing Memo: The Power of Sensory Marketing -- Learning -- Emotions -- Memory -- The Buying Decision Process: The Five-Stage Model -- Problem Recognition -- Information Search -- Evaluation of Alternatives -- Purchase Decision -- Postpurchase Behavior -- Moderating Effects on Consumer Decision Making -- Behavioral Decision Theory and Behavioral Economics -- Decision Heuristics -- Framing -- Summary -- Applications -- Marketing Excellence: Disney -- Marketing Excellence: IKEA -- Chapter 7: Analyzing Business Markets -- What is Organizational Buying? …”

Tabla de Contenidos: “…Starting with Arrays -- Exercise 7.03: Analyzing Sequences Using Arrays -- Using JSON Data types in PostgreSQL -- JSONB: Pre-Parsed JSON -- Accessing Data from a JSON or JSONB Field -- Leveraging the JSON Path Language for JSONB Fields -- Creating and Modifying Data in a JSONB Field -- Exercise 7.04: Searching through JSONB -- Text Analytics Using PostgreSQL -- Tokenizing Text -- Exercise 7.05: Performing Text Analytics -- Performing Text Search -- Optimizing Text Search on PostgreSQL -- Activity 7.01: Sales Search and Analysis -- Summary -- Chapter 8: Performant SQL -- Introduction -- The Importance of Highly Efficient SQL -- Database Scanning Methods -- Query Planning -- Exercise 8.01: Interpreting the Query Planner -- Activity 8.01: Query Planning -- Index Scanning -- The B-Tree Index -- Exercise 8.02: Creating an Index Scan -- Activity 8.02: Implementing Index Scans -- The Hash Index -- Exercise 8.03: Generating Several Hash Indexes to Investigate Performance -- Activity 8.03: Implementing Hash Indexes -- Effective Index Use -- Killing Queries -- Exercise 8.04: Canceling a Long-Running Query -- Functions and Triggers -- Function Definitions -- Exercise 8.05: Creating Functions without Arguments -- Activity 8.04: Defining a Largest Sale Value Function -- Exercise 8.06: Creating Functions with Arguments -- The \df and \sf commands -- Activity 8.05: Creating Functions with Arguments -- Triggers -- Exercise 8.07: Creating Triggers to Update Fields -- Activity 8.06: Creating a Trigger to Track Average Purchases -- Summary -- Chapter 9: Using SQL to Uncover the Truth - a Case Study -- Introduction -- Case Study -- The Scientific Method -- Exercise 9.01: Preliminary Data Collection Using SQL Techniques -- Exercise 9.02: Extracting the Sales Information -- Activity 9.01: Quantifying the Sales Drop -- Exercise 9.03: Launch Timing Analysis…”

Tabla de Contenidos: “…RISK FACTORS FOR IPV IN THE UNITED STATES -- Homicides -- Nonlethal Physical and Sexual Assault -- Other Vulnerable Populations -- Summary -- THE NEGATIVE HEALTH EFFECTS OF IPV VICTIMIZATION -- Physical Effects -- Psychological Effects -- Summary -- THE NEED FOR ROUTINE HEALTHCARE SCREENING -- Resistance to IPV Screening -- Overcoming Attitudinal Barriers to IPV Screening -- FUTURE DIRECTIONS -- REFERENCES -- SECTION II: Well-Being and Health Challenges -- Chapter 5 Alcohol Use in Women -- INTRODUCTION -- PATTERNS OF ALCOHOL USE AND ALCOHOL PROBLEMS IN WOMEN -- Prevalence of Women's Drinking and Average Drinking Levels -- Prevalence of Women's Alcohol Problems and Disorders -- HEALTH AND SOCIAL CONSEQUENCES OF WOMEN 'S DRINKING -- Gender Differences in Alcohol-Related Morbidity and Mortality -- Women's Reproductive Health -- Adverse Psychological and Social Consequences of Women's Problem Drinking -- RISK FACTORS FOR WOMEN'S PROBLEM DRINKING -- Understanding Gender Differences in Alcohol use and Related Problems -- Genetic and Familial Risks -- Demographic Correlates and Psychosocial Risk Factors -- ASSESSMENT, INTERVENTION, AND PREVENTION OF ALCOHOL PROBLEMS IN WOMEN -- Screening and Assessment for Women's Problem Drinking -- Gender Differences in Outcome of Treatment for Alcohol Dependence -- Evidence-Based Interventions for Women's Problem Drinking -- Prevention of Risky Drinking in Women and Girls -- CONCLUSIONS AND FUTURE DIRECTIONS -- REFERENCES -- Chapter 6 Women and Smoking -- INTRODUCTION -- SIGNIFICANCE AND CURRENT TRENDS -- TOBACCO-RELATED MORBIDITY AND MORTALITY -- Cancer -- Respiratory and Cardiovascular Diseases -- Reproductive Health -- Maternal Smoking and Child SHSe -- SHSe and Nonsmoking Women's Health -- Health Disparities and High-Risk Groups -- PSYCHOSOCIAL CORRELATES OF SMOKING INITIATION -- Media Influence -- Parents and Peers…”

Tabla de Contenidos: “…The Role of Protein and Amino Acids in Sustaining and Enhancing Performance -- Copyright -- Preface -- HISTORY OF THE COMMITTEE -- FOCUS OF THE REPORT -- ORGANIZATION OF THE REPORT -- ACKNOWLEDGMENTS -- Contents -- Executive Summary -- COMMITTEE'S TASK -- METHODS -- FINDINGS -- Effect of Stressors on Protein Requirements of Military Personnel -- Baseline Protein and Amino Acid Requirements -- Physical Activity -- Infection, Injury, and Illness -- Other Stressors -- THE MRDA FOR PROTEIN -- Pregnancy and Lactation -- Benefits and Risks of Protein and Amino Acid Supplements and Alternative Sources of Dietary Protein -- Protein and Amino Acid Supplements and Cognitive Performance -- Protein, Amino Acids, Muscle Mass, and Physical Performance -- Protein, Amino Acids, and Immune Function -- Issues of Protein Quality and Timing of Consumption -- Dietary Protein and Renal Function -- Dietary Protein and Calcium Status -- Amino Acid Toxicity -- Protein and Amino Acid Supplements and Pregnancy -- CONCLUSIONS AND RECOMMENDATIONS -- Effects of Stressors on Protein Requirements -- Military Recommended Dietary Allowances for Protein -- Benefits and Risks of Supplemental Protein, Amine Acids, and Alternative Sources of Dietary Protein -- REFERENCES -- I Committee Summary and Recommendations -- 1 Committee Overview -- INTRODUCTION -- THE ARMY'S INTEREST IN DIETARY PROTEIN AND PROTEIN BALANCE -- ESTIMATION OF PROTEIN REQUIREMENTS -- Protein Metabolism -- Methods for Assessment of Protein Requirements -- FAO/WHO/UNU Requirements and RDAs: Current Estimates of Average Protein Intake -- Importance of the Debate over Indispensable Amino Acid Requirements -- Argument for Higher Indispensable Amine Acid Requirements -- Argument Against Higher Indispensable Amino Acid Requirements -- The Rebuttal -- Resolution of the Debate…”

Tabla de Contenidos: “…Reasons for Using Cost-Effectiveness Analysis -- Limits of Cost-Effectiveness Analysis -- Ethical Issues -- Analytic Perspectives -- Time Horizon and Discounting -- MODEL OVERVIEW -- Health Benefits: The Denominator -- Quality Adjustments: Weighting -- Morbidity Scenarios -- Quality Adjustments for Average Population Health States -- Disease Incidence and Death Rates -- Time Intervals -- QALYs Gained with Vaccine Use -- Costs: The Numerator -- Cost of Research and Development -- Cost of Vaccine Use -- Health Care Costs -- Vaccine Efficacy and Utilization -- Cost-Effectiveness Ratios -- Exclusions from the Analysis -- EXAMPLES: HYPOTHETICAL VACCINE X -- Target Population -- Program Considerations -- Disease Severity -- Discounting -- An Idealized Scenario -- Summary -- RESULTS -- Challenges -- 5 Review of the Analytic Model -- UNIT OF ANALYSIS -- IMPLEMENTING THE ANALYSIS -- Basic Model -- Performing the Analysis -- CALCULATION OF HEALTH BENEFITS -- Quality-Adjusted Life Years -- Quality-Adjustment Weights Based on the Health Utilities Index -- Steps in the Calculation of Anticipated Health Benefits from Vaccine Use -- Develop Morbidity Scenarios -- Calculate Quality-Adjustment Weights -- Calculate Discounted Quality-Adjusted Life Expectancies -- Establish Age-Specific Incidence and Death Rates -- Calculate Time Intervals for Discounting Future Health Benefits -- Calculate Condition-Related Life Expectancies -- Adjust for the Underlying Health Status of the Population -- Calculate Discounted QALYs for Each Health State -- Calculate Total QALYs Gained with Vaccine Use -- COST FACTORS -- Vaccine Development -- Vaccine Use -- Cost of Care -- VACCINE EFFICACY AND UTILIZATION -- COST-EFFECTIVENESS RATIOS -- 6 Ethical Considerations and Caveats -- ETHICAL AND VALUE JUDGMENTS BUILT INTO THE MODEL -- All QALYs Count Equally…”

Tabla de Contenidos: “…Chemoprophylaxis and Therapy -- Drug Resistance -- Paradigms -- Bednets -- REFERENCES -- 11 Economics of Malaria Control -- WHERE WE WANT TO BE IN THE YEAR 2010 -- WHERE WE ARE TODAY -- Applications of Economics to Malaria -- The Economic Costs of Malaria -- Costs and Effects of Malaria Control -- Operational Research -- Economics and Policymaking -- Determining Policy Option -- Epidemiology and Economics -- Example 1: The Burden of Disease and Priority Setting -- Example 2: Decreasing Returns -- Example 3: More Decreasing Returns -- Example 4: Average Versus Marginal Costs and Benefits -- Example 5: Economics and Epidemiologic Paradigms -- RESEARCH AGENDA -- Decision Making Skills -- Data Collection -- Information, Education, and Communication Programs -- Resources -- REFERENCES -- 12 Social and Behavioral Aspects of Malaria -- WHERE WE WANT TO BE IN THE YEAR 2010 -- WHERE WE ARE TODAY -- Factors Favoring Malaria Transmission -- Agricultural Development -- Type I and Type II Farming Systems -- Human Population Movements -- Urbanization -- Implications for Malaria Control Programs -- Acceptance and Usage of Control Methods -- Perceptions of Cerebral Malaria -- Causes of Malaria -- Water and Mosquitoes -- Distinguishing Malaria from Other Diseases -- Drug Side Effects and Beliefs About Drug Action -- Logistical and Organizational Problems -- Lack of Community Participation -- RESEARCH AGENDA -- Understanding Community Beliefs -- Health-Seeking Behavior -- Research Methods -- Health Communications -- Community Participation -- Community Involvement in Planning and Evaluation -- REFERENCES -- Appendix A Paradigms -- TYPES OF MALARIA -- DETERMINANTS -- TOOLS -- Appendix B Dissenting Opinion -- REFERENCES -- Glossary A -- Index…”

Tabla de Contenidos: “…Activity 5.02: Building a Movie Genre Tagging a Model with TensorFlow -- Summary -- Chapter 6: Regularization and Hyperparameter Tuning -- Introduction -- Regularization Techniques -- L1 Regularization -- L2 Regularization -- Exercise 6.01: Predicting a Connect-4 Game Outcome Using the L2 Regularizer -- Dropout Regularization -- Exercise 6.02: Predicting a Connect-4 Game Outcome Using Dropout -- Early Stopping -- Activity 6.01: Predicting Income with L1 and L2 Regularizers -- Hyperparameter Tuning -- Keras Tuner -- Random Search -- Exercise 6.03: Predicting a Connect-4 Game Outcome Using Random Search from Keras Tuner -- Hyperband -- Exercise 6.04: Predicting a Connect-4 Game Outcome Using Hyperband from Keras Tuner -- Bayesian Optimization -- Activity 6.02: Predicting Income with Bayesian Optimization from Keras Tuner -- Summary -- Chapter 7: Convolutional Neural Networks -- Introduction -- CNNs -- Image Representation -- The Convolutional Layer -- Creating the Model -- Exercise 7.01: Creating the First Layer to Build a CNN -- Pooling Layer -- Max Pooling -- Average Pooling -- Exercise 7.02: Creating a Pooling Layer for a CNN -- Flattening Layer -- Exercise 7.03: Building a CNN -- Image Augmentation -- Batch Normalization -- Exercise 7.04: Building a CNN with Additional Convolutional Layers -- Binary Image Classification -- Object Classification -- Exercise 7.05: Building a CNN -- Activity 7.01: Building a CNN with More ANN Layers -- Summary -- Chapter 8: Pre-Trained Networks -- Introduction -- ImageNet -- Transfer Learning -- Exercise 8.01: Classifying Cats and Dogs with Transfer Learning -- Fine-Tuning -- Activity 8.01: Fruit Classification with Fine-Tuning -- TensorFlow Hub -- Feature Extraction -- Activity 8.02: Transfer Learning with TensorFlow Hub -- Summary -- Chapter 9: Recurrent Neural Networks -- Introduction -- Sequential Data…”

Tabla de Contenidos: “…Contribution of this study - a large-scale dataset allowing for heterogeneous effects, investigating energy prices and environmental policies -- Empirical set-up -- Assessing the effects of energy prices and other environmental policies -- Empirical model -- Data -- Results -- Negative but small decline in employment in response to higher energy prices and tighter environmental policies -- Energy-intensive sectors face a larger negative effect on employment than other sectors -- Difference in industry- and firm-level results are driven by a positive effect on the exit of firms -- Robustness checks of firm level analysis -- Conclusion -- A small employment effect on average - but stronger in energy-intensive sectors -- An upper bound of the true effect? …”

Tabla de Contenidos: “…Max Pooling -- 2.4.1.2. Average Pooling -- 2.4.1.3. Stochastic Pooling -- 2.4.1.4. …”

Tabla de Contenidos: “…-- Forecasting Time Horizons -- Types of Forecasts -- The Strategic Importance of Forecasting -- Supply Chain Management -- Human Resources -- Capacity -- Seven Steps in the Forecasting System -- Forecasting Approaches -- Overview of Qualitative Methods -- Overview of Quantitative Methods -- Time-Series Forecasting -- Decomposition of a Time Series -- OM in Action: Forecasting at Olive Garden -- Naive Approach -- Moving Averages -- Exponential Smoothing -- Measuring Forecast Error -- Exponential Smoothing with Trend Adjustment -- Trend Projections -- Seasonal Variations in Data -- Cyclical Variations in Data -- Associative Forecasting Methods: Regression and Correlation Analysis -- Using Regression Analysis for Forecasting -- Standard Error of the Estimate -- Correlation Coefficients for Regression Lines -- Multiple Regression Analysis -- OM in Action: NYC's Potholes and Regression Analysis -- Monitoring, Controlling, and Adapting Forecasts -- Adaptive Smoothing -- Focus Forecasting -- Forecasting Under a Pandemic or Major Disruption -- Forecasting in the Service Sector -- Summary -- Key Terms -- Ethical Dilemma -- Discussion Questions -- Using Software in Forecasting -- Solved Problems -- Problems -- Case Studies -- Southwestern University (B) -- Video Case Studies -- Forecasting Ticket Revenue for Orlando Magic Basketball Games -- Forecasting at Hard Rock Cafe -- Endnotes -- Bibliography…”

Tabla de Contenidos: “…-- Forecasting Time Horizons -- Types of Forecasts -- The Strategic Importance of Forecasting -- Supply Chain Management -- Human Resources -- Capacity -- Seven Steps in the Forecasting System -- Forecasting Approaches -- Overview of Qualitative Methods -- Overview of Quantitative Methods -- Time-Series Forecasting -- Decomposition of a Time Series -- OM in Action: Forecasting at Olive Garden -- Naive Approach -- Moving Averages -- Exponential Smoothing -- Measuring Forecast Error -- Exponential Smoothing with Trend Adjustment -- Trend Projections -- Seasonal Variations in Data -- Cyclical Variations in Data -- Associative Forecasting Methods: Regression and Correlation Analysis -- Using Regression Analysis for Forecasting -- Standard Error of the Estimate -- Correlation Coefficients for Regression Lines -- Multiple Regression Analysis -- OM in Action: NYC's Potholes and Regression Analysis -- Monitoring, Controlling, and Adapting Forecasts -- Adaptive Smoothing -- Focus Forecasting -- Forecasting Under a Pandemic or Major Disruption -- Forecasting in the Service Sector -- Summary -- Key Terms -- Ethical Dilemma -- Discussion Questions -- Using Software in Forecasting -- Solved Problems -- Problems -- Case Studies -- Southwestern University (B) -- Video Case Studies -- Forecasting Ticket Revenue for Orlando Magic Basketball Games -- Forecasting at Hard Rock Cafe -- Endnotes -- Bibliography…”