Tabla de Contenidos: “…. -- ChatGPT-Assisted Risk Ranking and Prioritization -- Getting ready -- How to do it... -- How it works... -- There's more... -- Building Risk Assessment Reports -- Getting ready -- How to do it... -- How it works... -- There's more... -- Chapter 5: Security Awareness and Training -- Technical requirement -- Developing Security Awareness Training Content -- Getting ready -- How to do it... -- How it works... -- There's more... -- Assessing Cybersecurity Awareness -- Getting ready -- How to do it... -- How it works... -- There's more...…”

“…They can also be used for the selection and ranking of candidate chemicals during the development of new chemicals and products and in toxicology research. …”

Tabla de Contenidos: “…3.4 Precision of Monte Carlo Method -- 3.4.1 Monitoring Mean and Variance -- 3.4.2 Importance Sampling -- 3.4.3 Correlated Samples -- 3.4.4 Variance Reduction Methods -- 3.5 Markov Chains -- 3.5.1 Markov Processes -- 3.5.2 Discrete Time, Discrete State Space -- 3.5.3 Transition Probability -- 3.5.4 "Sun City" -- 3.5.5 Utility Bills -- 3.5.6 Classification of States -- 3.5.7 Stationary Distribution -- 3.5.8 Reversibility Condition -- 3.5.9 Markov Chains with Continuous State Spaces -- 3.6 Simulation of a Markov Chain -- 3.7 Applications -- 3.7.1 Bank Sizes -- 3.7.2 Related Failures of Car Parts -- References -- 4 Markov Chain Monte Carlo Methods -- 4.1 Markov Chain Simulations for Sun City and Ten Coins -- 4.2 Metropolis-Hastings Algorithm -- 4.3 Random Walk MHA -- 4.4 Gibbs Sampling -- 4.5 Diagnostics of MCMC -- 4.5.1 Monitoring Bias and Variance of MCMC -- 4.5.2 Burn-in and Skip Intervals -- 4.5.3 Diagnostics of MCMC -- 4.6 Suppressing Bias and Variance -- 4.6.1 Perfect Sampling -- 4.6.2 Adaptive MHA -- 4.6.3 ABC and Other Methods -- 4.7 Time-to-Default Analysis of Mortgage Portfolios -- 4.7.1 Mortgage Defaults -- 4.7.2 Customer Retention and Infinite Mixture Models -- 4.7.3 Latent Classes and Finite Mixture Models -- 4.7.4 Maximum Likelihood Estimation -- 4.7.5 A Bayesian Model -- References -- PART II Modeling Dependence -- 5 Statistical Dependence Structures -- 5.1 Introduction -- 5.2 Correlation -- 5.2.1 Pearson's Linear Correlation -- 5.2.2 Spearman's Rank Correlation -- 5.2.3 Kendall's Concordance -- 5.3 Regression Models -- 5.3.1 Heteroskedasticity -- 5.3.2 Nonlinear Regression -- 5.3.3 Prediction -- 5.4 Bayesian Regression -- 5.5 Survival Analysis -- 5.5.1 Proportional Hazards -- 5.5.2 Shared Frailty -- 5.5.3 Multistage Models of Dependence -- 5.6 Modeling Joint Distributions -- 5.6.1 Bivariate Survival Functions -- 5.6.2 Bivariate Normal…”

Tabla de Contenidos: “…Performance evaluation -- Distributed training on AWS deep learning AMI 9.0 -- Frequently asked questions (FAQs) -- Summary -- Answers to questions -- Chapter 9: Playing GridWorld Game Using Deep Reinforcement Learning -- Notation, policy, and utility for RL -- Notations in reinforcement learning -- Policy -- Utility -- Neural Q-learning -- Introduction to QLearning -- Neural networks as a Q-function -- Developing a GridWorld game using a deep Q-network -- Generating the grid -- Calculating agent and goal positions -- Calculating the action mask -- Providing guidance action -- Calculating the reward -- Flattening input for the input layer -- Network construction and training -- Playing the GridWorld game -- Frequently asked questions (FAQs) -- Summary -- Answers to questions -- Chapter 10: Developing Movie Recommendation Systems Using Factorization Machines -- Recommendation systems -- Recommendation approaches -- Collaborative filtering approaches -- Content-based filtering approaches -- Hybrid recommender systems -- Model-based collaborative filtering -- The utility matrix -- The cold-start problem in collaborative-filtering approaches -- Factorization machines in recommender systems -- Developing a movie recommender system using FMs -- Dataset description and exploratory analysis -- Movie rating prediction -- Converting the dataset into LibFM format -- Training and test set preparation -- Movie rating prediction -- Which one makes more sense -- - ranking or rating? -- Frequently asked questions (FAQs) -- Summary -- Answers to questions -- Chapter 11: Discussion, Current Trends, and Outlook -- Discussion and outlook -- Discussion on the completed projects -- Titanic survival prediction using MLP and LSTM networks -- Cancer type prediction using recurrent type networks -- Image classification using convolutional neural networks…”

Tabla de Contenidos: “…Measuring variance -- Analyzing deviations -- Looking for normal distribution -- Skewing from the norm -- Comparing data sets -- Analyzing Data with Percentiles and Bins -- QUARTILE.INC and QUARTILE.EXC -- PERCENTILE.INC and PERCENTILE.EXC -- RANK -- PERCENTRANK -- FREQUENCY -- MIN and MAX -- LARGE and SMALL -- Going for the Count -- COUNT and COUNTA -- COUNTIF -- Chapter 10 Using Significance Tests -- Testing to the T -- Comparing Results with an Estimate -- Chapter 11 Rolling the Dice on Predictions and Probability -- Modeling -- Linear model -- Exponential model -- Getting It Straight: Using SLOPE and INTERCEPT to Describe Linear Data -- What's Ahead: Using FORECAST, TREND, and GROWTH to Make Predictions -- FORECAST -- TREND -- GROWTH -- Using NORM.DIST and POISSON.DIST to Determine Probabilities -- NORM.DIST -- POISSON.DIST -- Part 4 Dancing with Data -- Chapter 12 Dressing Up for Date Functions -- Understanding How Excel Handles Dates -- Formatting Dates -- Making a Date with DATE -- Breaking a Date with DAY, MONTH, and YEAR -- Isolating the day -- Isolating the month -- Isolating the year -- Converting a Date from Text -- Finding Out What TODAY Is -- Counting the days until your birthday -- Counting your age in days -- Determining the Day of the Week -- Working with Workdays -- Determining workdays in a range of dates -- Workdays in the future -- Calculating Time Between Two Dates with the DATEDIF Function -- Chapter 13 Keeping Well-Timed Functions -- Understanding How Excel Handles Time -- Formatting Time -- Keeping TIME -- Converting Text to Time with TIMEVALUE -- Deconstructing Time with HOUR, MINUTE, and SECOND -- Isolating the hour -- Isolating the minute -- Isolating the second -- Finding the Time NOW -- Calculating Elapsed Time Over Days -- Chapter 14 Using Lookup, Logical, and Reference Functions -- Testing on One Condition…”

Tabla de Contenidos: “…Cover -- Contents -- List of Figures -- List of Tables -- Preface -- Acknowledgements -- Chapter 1: Preliminary Background -- Theme of the Book -- Course Contents -- Sources for More Detailed Study -- Directions for Using the Book -- Expected Background -- Preliminary Test -- Prerequisite Problem Sets* -- Problem set 1 -- Problem set 2 -- Problem set 3 -- Problem set 4 -- Problem set 5 -- Problem set 6 -- Chapter 2: Matrices and Linear Transformations -- Matrices -- Geometry and Algebra -- Linear Transformations -- Matrix Terminology -- Exercises -- Chapter 3: Operational Fundamentals of Linear Algebra -- Range and Null Space: Rank and Nullity -- Basis -- Change of Basis -- Elementary Transformations -- Exercises -- Chapter 4: Systems of Linear Equations -- Nature of Solutions -- Basic Idea of Solution Methodology -- Homogeneous Systems -- Pivoting -- Partitioning and Block Operations -- Exercises -- Chapter 5: Gauss Elimination Family of Methods -- Gauss-Jordan Elimination -- Gaussian Elimination with Back-Substitution -- LU Decomposition -- Exercises -- Chapter 6: Special Systems and Special Methods -- Quadratic Forms, Symmetry and Positive Definiteness -- Cholesky Decomposition -- Sparse Systems* -- Exercises -- Chapter 7: Numerical Aspects in Linear Systems -- Norms and Condition Numbers -- Ill-conditioning and Sensitivity -- Rectangular Systems -- Singularity-Robust Solutions -- Iterative Methods -- Exercises -- Chapter 8: Eigenvalues and Eigenvectors -- Eigenvalue Problem -- Generalized Eigenvalue Problem -- Some Basic Theoretical Results -- Eigenvalues of transpose -- Diagonal and block diagonal matrices -- Triangular and block triangular matrices -- Shift theorem -- Deflation -- Eigenspace -- Similarity transformation -- Power Method -- Exercises -- Chapter 9: Diagonalization and Similarity Transformations -- Diagonalizability…”

Tabla de Contenidos: “…Step 3: Identify Individual Accomplishments and Their Integration with the Work Unit Goals -- Step 4: Convert Expected Accomplishments into Performance Elements, Duly Mentioning Their Type and Priority -- Step 5: Determine Work Unit and Individual Measures -- Step 6: Develop Work Unit and Individual Standards -- Step 7: Determine How to Monitor Performance -- Step 8: Check the Performance Plan -- Preparing the Performance Development Plan -- Transition from Individual Performance Plan to Group Performance Plan -- Performance Plan and Role Clarity -- Role Descriptions Template -- Creating Strategic Plans and Their Alignment with the Performance Plans -- Strategy Realization: Essential Elements Through Performance Plans -- Summary -- Key Words -- General Review Questions -- Critical Review Question -- References -- Further Reading -- Case Study -- Chapter 3: Performance Appraisal -- Introduction -- Definitions -- Role of Appraisals in Performance Management -- Process and Methods of Performance Appraisal -- Purposes of Performance Appraisal -- Importance of Performance Appraisal -- Objectives of Performance Appraisal -- Reasons for Failure of Performance Appraisal -- Steps to Performance Appraisal -- Characteristics of an Appraisal System -- Performance Appraisal Design -- Approaches to Performance Appraisal -- Types and Methods of Performance Appraisal -- Traditional Methods -- Straight Ranking Method -- Paired Comparison Techniques -- Man-to-Man Comparison -- Grading Method -- Graphic or Linear Rating Scale -- Example of Graphic Rating Scale -- Forced Choice Description Method -- Forced Distribution Method -- Checklist Method -- Free Easy Method -- Critical Incident Method -- Work Standard Approach -- Group Appraisal Method -- Field Review Method -- Modern Methods -- Appraisal by Results for Management by Objectives -- Advantages -- Disadvantages…”

Tabla de Contenidos: “…Scale-Out -- Rack-Optimized Servers -- Blade Servers -- Server Sprawl -- Virtualization -- Server Deployment Today -- Unified Computing System (UCS) -- Chapter 2 Server Architectures -- The Processor Evolution -- Sockets -- Cores -- Threads -- Intel® Hyper-Threading Technology -- Front-Side Bus -- Dual Independent Buses -- Dedicated High-Speed Interconnect -- Intel® QuickPath Interconnect -- The Memory Subsystem -- SRAMs -- DRAMs -- SDRAMs -- DIMMs -- ECC and Chipkill® -- Memory Ranks -- UDIMMs and RDIMMs -- DDR2 and DDR3 -- The I/O Subsystem -- PCI Express® -- Intel Microarchitectures -- Platform Architecture -- CPU Architecture -- Virtualization Support -- Advanced Reliability -- Advanced Encryption Standard -- Trusted Execution Technology -- Chip Design -- Chipset Virtualization Support -- Intel® VT-d for Direct I/O -- Intel® VT-c for Connectivity -- VMDirectPath® -- Chapter 3 UCS Enabling Technologies -- Unified Fabric -- 10 Gigabit Ethernet -- Lossless Ethernet -- Terminology -- PFC (Priority-Based Flow Control) -- DCBX: Data Center Bridging eXchange -- Bandwidth Management -- FCoE (Fibre Channel over Ethernet) -- Virtualization -- Server Virtualization -- SR-IOV -- The IEEE Standard Effort -- Port Extenders and Virtualization -- VNTag -- Fabric Extenders -- VN-Link -- Memory Expansion -- Speed vs. …”

Tabla de Contenidos: “…Activity 4.01: Analyzing Sales Data Using Aggregate Functions -- Summary -- Chapter 5: Window Functions for Data Analysis -- Introduction -- Window Functions -- The Basics of Window Functions -- Exercise 5.01: Analyzing Customer Data Fill Rates over Time -- The WINDOW Keyword -- Statistics with Window Functions -- Exercise 5.02: Rank Order of Hiring -- Window Frame -- Exercise 5.03: Team Lunch Motivation -- Activity 5.01: Analyzing Sales Using Window Frames and Window Functions -- Summary -- Chapter 6: Importing and Exporting Data -- Introduction -- The COPY Command -- Running the psql Command -- The COPY Statement -- \COPY with psql -- Creating Temporary Views -- Configuring COPY and \COPY -- Using COPY and \COPY to Bulk Upload Data to Your Database -- Exercise 6.01: Exporting Data to a File for Further Processing in Excel -- Using Python with your Database -- Getting Started with Python -- Improving PostgreSQL Access in Python with SQLAlchemy and pandas -- What is SQLAlchemy? …”

Tabla de Contenidos: “…-- Getting Familiar with File Formats -- Supported file formats -- Making sense of bit depth -- Understanding color spaces -- Part 2: Managing Your Photos with Lightroom Classic -- Chapter 4: Tackling the Lightroom Classic Import Process -- Knowing How the Import Process Works -- Exploring the Import Dialog -- Importing Your Photos into Lightroom Classic -- Employing an effective import workflow -- Putting it all together -- Auto Import -- Shooting Tethered -- Chapter 5: Viewing and Finding Photos in the Library -- Exploring the Library Module -- Getting to know the panels and tools -- Becoming familiar with the menu options -- Creating a custom identity plate -- Choosing the Right View for the Task -- Working with thumbnails in Grid view -- Taking a closer look in Loupe view -- Using the Panels to Access Your Photos -- Getting the 20,000-foot view from the Catalog panel -- Using the Folders panel like a file browser -- Grouping photos into collections -- Creating Multiple Versions with Virtual Copies -- Chapter 6: Getting Organized with the Library -- Evaluating Photos -- Survey view -- Compare view -- Flags, Ratings, and Color Labels -- Deleting photos from Lightroom Classic -- Using ratings to rank images -- Applying color labels to photos -- Applying color labels to folders and collections -- Filtering folders and collections -- Filenames and Metadata -- Batch renaming with filename templates -- Creating metadata templates to embed information into each image -- Keywording -- Adding and organizing keywords -- Using the Keyword List to find photos -- Using the Painter Tool -- Finding Photos with the Library Filter Bar -- Chapter 7: Exploring the Library Module's Advanced Features -- People View -- Finding faces…”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright Page -- Acknowledgments -- About the Author -- About the Technical Editor -- Contents at a Glance -- Contents -- Introduction -- CC Certification -- Taking the CC Exam -- Computer-Based Testing Environment -- Exam Retake Policy -- Recertification Requirements -- Using the Online Practice Test -- How to Contact the Publisher -- Part I Domain 1: Security Principles -- Chapter 1 Confidentiality, Integrity, Availability, and Non-repudiation: Objective 1.1 Understand the Security Concepts of Information Assurance -- The CIA Triad -- Confidentiality -- Integrity -- Availability -- Non-repudiation -- Chapter 2 Authentication and Authorization: Objective 1.1 Understand the Security Concepts of Information Assurance -- Access Control Process -- Identification -- Authentication -- Authorization -- Accounting -- Digital Access Control -- Password Policies -- Password Length -- Password Complexity -- Password Expiration -- Password History -- Password Resets -- Password Reuse -- Password Managers -- Authentication Factors -- Something You Know -- Something You Are -- Something You Have -- Multi-factor Authentication -- Chapter 3 Privacy: Objective 1.1 Understand the Security Concepts of Information Assurance -- Privacy -- Types of Private Information -- Expectation of Privacy -- Privacy Management Framework -- Management -- Agreement, Notice, and Communication -- Collection and Creation -- Use, Retention, and Disposal -- Access -- Disclosure to Third Parties -- Security for Privacy -- Data Integrity and Quality -- Monitoring and Enforcement -- Chapter 4 Risk Management: Objective 1.2 Understand the Risk Management Process -- Risk Types -- Internal and External Risks -- Multiparty Risks -- Specific Risks -- Risk Identification and Assessment -- The Language of Risk -- Ranking Risks -- Risk Treatment Strategies…”

Tabla de Contenidos: “…Defining a strategy to get it to work with a multivariate time series model -- Laying the groundwork for the permutation approximation strategy -- Computing the SHAP values -- Identifying influential features with factor prioritization -- Computing Morris sensitivity indices -- Analyzing the elementary effects -- Quantifying uncertainty and cost sensitivity with factor fixing -- Generating and predicting on Saltelli samples -- Performing Sobol sensitivity analysis -- Incorporating a realistic cost function -- Mission accomplished -- Summary -- Dataset and image sources -- Further reading -- Chapter 10: Feature Selection and Engineering for Interpretability -- Technical requirements -- The mission -- The approach -- The preparations -- Loading the libraries -- Understanding and preparing the data -- Understanding the effect of irrelevant features -- Creating a base model -- Evaluating the model -- Training the base model at different max depths -- Reviewing filter-based feature selection methods -- Basic filter-based methods -- Constant features with a variance threshold -- Quasi-constant features with value_counts -- Duplicating features -- Removing unnecessary features -- Correlation filter-based methods -- Ranking filter-based methods -- Comparing filter-based methods -- Exploring embedded feature selection methods -- Discovering wrapper, hybrid, and advanced feature selection methods -- Wrapper methods -- Sequential forward selection (SFS) -- Hybrid methods -- Recursive Feature Elimination (RFE) -- Advanced methods -- Model-agnostic feature importance -- Genetic algorithms -- Evaluating all feature-selected models -- Considering feature engineering -- Mission accomplished -- Summary -- Dataset sources -- Further reading -- Chapter 11: Bias Mitigation and Causal Inference Methods -- Technical requirements -- The mission -- The approach…”

Tabla de Contenidos: “…Cost Matrix -- Business Benefit and Context -- Approach -- Sample Output and Templates -- Step 4.9 Ranking and Prioritization -- Business Benefit and Context -- Approach -- Sample Output and Templates -- Step 4.10 Cost of Low-Quality Data -- Business Benefit and Context -- Approach -- Sample Output and Templates -- Step 4.11 Cost-Benefit Analysis and ROI -- Business Benefit and Context -- Approach -- Sample Output and Templates -- Step 4.12 Other Relevant Business Impact Techniques -- Business Benefit and Context -- Approach -- Sample Output and Templates -- Step 4 Summary -- Step 5 Identify Root Causes -- Introduction to Step 5.…”

Tabla de Contenidos: “…-- Darwinian evolution -- The genetic algorithms analogy -- The theory behind genetic algorithms -- The schema theorem -- Differences from traditional algorithms -- Population-based -- Genetic representation -- Fitness function -- Probabilistic behavior -- Advantages of genetic algorithms -- Global optimization -- Handling complex problems -- Handling a lack of mathematical representation -- Resilience to noise -- Parallelism -- Continuous learning -- Limitations of genetic algorithms -- Special definitions -- Hyperparameter tuning -- Computationally intensive -- Premature convergence -- No guaranteed solution -- Use cases for genetic algorithms -- Summary -- Further reading -- Chapter 2: Understanding the Key Components of Genetic Algorithms -- The basic flow of a genetic algorithm -- Creating the initial population -- Calculating the fitness -- Applying selection, crossover, and mutation -- Checking the stopping conditions -- Selection methods -- Roulette wheel selection -- Stochastic universal sampling -- Rank-based selection -- Fitness scaling -- Tournament selection -- Crossover methods -- Single-point crossover -- Two-point and k-point crossover -- Uniform crossover -- Crossover for ordered lists -- Mutation methods -- Flip-bit mutation -- Swap mutation -- Inversion mutation -- Scramble mutation -- Real-coded genetic algorithms -- Blend crossover -- Simulated binary crossover -- Real mutation -- Understanding elitism -- Niching and sharing -- Serial niching versus parallel niching -- The art of solving problems using genetic algorithms -- Summary -- Further reading -- Part 2: Solving Problems with Genetic Algorithms…”

Tabla de Contenidos: “…-- Types of value -- Service quality -- Defining a service scope -- Service quality metrics -- Planning for service quality -- Identifying opportunities in the current state -- Aligning the implementation scope with the opportunity -- Cost optimization -- Process efficiency -- Process efficiency metrics -- Asset optimization -- Customer experience -- Tools for customer experience -- Scoping customer experience value - portals -- Scoping customer experience value - Virtual Agent -- Measuring customer experience -- Innovation enablement -- Ideation -- Project management -- Summary -- Chapter 2: Recognizing and Avoiding Value Traps -- Replicating the current state -- The tool replacement approach -- Arguments in favor of replicating the current state -- Issues with replicating the current state -- Strategy 1 - Adopting the out-of-the-box process -- Strategy 2 - Developing an MVP process -- Ignoring the current state -- Focusing on the future -- Failing to learn from the past -- Strategy 1 - Process shadowing -- Tips for conducting process shadowing -- The time investment of process shadowing -- The expected benefits of process shadowing -- Strategy 2 - Data analysis -- Targeting data analysis -- Conducting exploratory analysis -- Integrating value and analysis -- The importance of intentional time allocation -- Chasing the long tail -- The appeal of aiming for 100% coverage -- The distribution of value -- Risks of completeness -- Strategy 1 - Top N selection -- The recommended approach for ranking…”

Tabla de Contenidos: “…第7 章 级大数据分析 -- 7.1 介绍 -- 7.2 使用Apache Giraph 算PageRank -- 7.3 使用Apache Giraph 算单源最短 径 -- 7.4 使用Apache Giraph 执 分布式宽度优先搜索 -- 7.5 使用Apache Mahout 算协同 滤 -- 7.6 使用Apache Mahout 类 -- 7.7 使用Apache Mahout 情感分类 -- 第8 章 -- 8.1 介绍 -- 8.2 在MapReduce 中使用Counters 监测异常 录 -- 8.3 使用MRUnit 开发和测 MapReduce -- 8.4 本地模式下开发和测 MapReduce -- 8.5 MapReduce 作业 异常 录 -- 8.6 在流 算作业中使用Counters -- 8.7 更改任务状态显示 信息 -- 8.8 使用illustrate Pig 作业 -- 第9 章系统管理 -- 9.1 介绍 -- 9.2 在伪分布模式下启动Hadoop -- 9.3 在分布式模式下启动Hadoop -- 9.4 添加一个新 点 -- 9.5 点安全 役 -- 9.6 NameNode 故 恢复 -- 9.7 使用Ganglia 监控 群 -- 9.8 MapReduce 作业参数 优 -- 第10 章使用Apache Accumulo 持久化 -- 10.1 介绍 -- 10.2 在Accumulo 中 存储地理事件 -- 10.3 使用MapReduce 批 导入地理事件数据到Accumulo -- 10.4 置 定义字段约束Accumulo 中的地理事件数据 -- 10.5 使用正则 滤器 制查 结果 -- 10.6 使用SumCombiner 算同一个 的不同版本的死亡数总和 -- 10.7 使用Accumulo 实 单元级安全的扫描 -- 10.8 使用MapReduce Accumulo 中的消息源 -- 欢 来到异步社区 -- 封底…”

Tabla de Contenidos: “…CDM and Resource Allocation and Exchange -- CDM Resource Allocation -- Slot Trading Models -- Modeling Equity and Equity Efficiency Tradeoffs -- Resource Allocation Based on User Supplied Priorities -- Large-Scale Deterministic Optimization Models -- Stochastic Models -- Concluding Remarks -- See -- References -- Airline Industry Operations Research -- Introduction -- Flight Scheduling Planning -- Fleet Assignment -- Yield Management -- Crew Scheduling -- Aircraft Maintenance Routing -- Schedule Recovery -- Concluding Remarks -- See -- References -- Algebraic Modeling Languages for Optimization -- Introduction -- Background and Motivation -- Advantages -- Alternatives -- Extensions -- See -- References -- Algorithm -- See -- Algorithmic Complexity -- Alternate Optima -- See -- Alternate Paths -- See -- AMPL -- References -- Analytic Combat Model -- See -- Analytic Hierarchy Process -- Introduction -- The Fundamental Scale -- Absolute and Relative Measurement and Structural Information -- Comments on Cost-Benefit Analysis -- The Eigenvector Solution for Weights and Consistency -- How to Structure a Hierarchy -- Hierarchic Synthesis and Rank -- Examples -- Relative Measurement: Choosing the Best House -- Absolute Measurement: Evaluating Employees for Raises -- Concluding Remarks -- See -- References -- Analytic Network Process -- Introduction -- Feedback Networks -- The Supermatrix of a Feedback System -- The Control Hierarchy -- Drug-Marketing Decision -- See -- References -- Analytics -- Animation -- ANP -- Ant Colony Optimization -- See -- References -- Anticycling Rules -- See -- Antithetic Random Variates -- Applied Probability -- See -- Approximate Dynamic Programming -- Introduction -- Problem Setting -- Value Function and the Optimality Equation -- Two Approaches -- Successful Applications -- Concluding Remarks -- See -- References -- Arc…”

Tabla de Contenidos: “…1: ETHICS/SOCIAL RESPONSIBILITY: Rank and Yank: Legitimate Performance Improvement Tool or Ruthless and Unethical Management? …”

Tabla de Contenidos: “…-- Definitions and Concepts -- Independent Variables -- Test Units -- Dependent Variables -- Extraneous Variables -- Random Assignment to Experimental and Control Groups -- Experiment -- Experimental Design -- Definition of Symbols -- Validity in Experimentation -- Internal Validity -- External Validity -- Controlling Extraneous Variables -- A Classification of Experimental Designs -- Pre-experimental Designs -- One-Shot Case Study -- One-Group Pretest-Posttest Design -- Static Group Design -- True Experimental Designs -- Pretest-Posttest Control Group Design -- Posttest-Only Control Group Design -- Statistical Designs -- Factorial Design -- Selecting an Experimental Design -- Experimentation on the Web -- Experimental Versus Nonexperimental Designs -- Limitations of Experimentation -- Cost -- Administration -- Application: Test Marketing -- International Marketing Research -- Marketing Research and Social Media -- Ethics in Marketing Research -- Summary -- Companion Website -- Key Terms and Concepts -- Suggested Cases and Video Cases -- Live Research: Conducting a Marketing Research Project -- Acronyms -- Review Questions -- Applied Problems -- Internet Exercises -- Online Video Case 6.1: AFLAC: Marketing Research Quacks a Duck -- Chapter 7: Measurement and Scaling -- Overview -- Learning Objectives -- Measurement and Scaling -- Primary Scales of Measurement -- Nominal Scale -- Ordinal Scale -- Interval Scale -- Ratio Scale -- Comparative and Noncomparative Scaling Techniques -- Comparative Scaling Techniques -- Paired Comparison Scaling -- Rank-Order Scaling -- Constant Sum Scaling -- Noncomparative Scaling Techniques -- Continuous Rating Scale -- Itemized Rating Scales -- Multi-Item Scales -- Scale Evaluation -- Reliability -- Validity -- Relationship Between Reliability and Validity -- Choosing a Scaling Technique…”

Tabla de Contenidos: “…. -- How it works... -- The Spearman's rank correlation test -- How to do it... -- How it works... -- There's more... -- LOESS regression -- Getting ready -- How to do it... -- How it works... -- There's more... -- Finding the best transformations via the acepack package -- Getting ready -- How to do it... -- How it works... -- There is more... -- Nonparametric multivariate tests using the npmv package -- Getting ready -- How to do it... -- How it works... -- Semiparametric regression with the SemiPar package -- Getting ready -- How to do it... -- How it works... -- There's more…”