Tabla de Contenidos: “…; 1.1.2 Types of Systems; 1.1.2.1 Development of Unprecedented Systems; 1.1.2.2 Development of Precedented Systems; 1.1.2.3 Development of Systems with a Mixed Legacy; 1.1.2.4 Emergent Behavior; 1.1.3 The Word Affordable; 1.1.4 Onward to a Model; 1.1.5 The Fundamental System Relation; 1.1.6 The Human Foundation; 1.1.7 What Is System Development?…”

Tabla de Contenidos: “…3.1 Introduction3.2 Standard Lights; 3.2.1 Rendering in Mental Ray with Standard Lights; 3.2.1.1 Exercise: Standard Lights with Shadows; 3.2.1.2 Exercise: Mixing Standard Lights and Photometric Daylight; 3.3 Photometric Lights; 3.3.1 Target Photometric Lights; 3.3.1.1 Exercise: Adding and Adjusting Photometric Lights; 3.4 Sky Portal; 3.4.1 Channeling Daylight with a Sky Portal; 3.4.1.1 Exercise: Sky Portal; 3.4.2 Sky Portal and Scene Environment; 3.4.2.1 Exercise: Sky Portal Artifacts; 3.5 Daylight System and Physical Sky Shader; 3.5.1 Creating a Scene Using the Mr Physical Sky Shader…”

Tabla de Contenidos: “…Looking to the Web Component future -- 15.2. 3D and mixed reality -- 15.3. Video effects -- 15.4. Hand tracking and machine learning -- Summary -- Appendix. …”

Tabla de Contenidos: “…1.4.2.3 Methods of Fabrication of LEDs1.4.2.4 Poly(fluorene)s; 1.4.2.5 NVK/PBD; 1.4.2.6 Functionalized Polymers; 1.4.2.7 Metal Complexes; 1.4.2.8 Mixed Dyes; 1.4.2.9 Multilayer Light-Emitting Diode; 1.4.2.10 Other Chromophores; 1.4.3 Organic Photorefractive Materials; 1.4.3.1 Photorefractive Formulations; 1.4.3.2 Holograms; 1.4.4 Photovoltaic Devices; 1.4.5 Amplified Spontaneous Emission; 1.4.6 Optical Elements; 1.4.7 Antistatic Polymer; 1.4.8 Other Applications; 1.4.8.1 Microscopic Imaging; 1.4.9 Analytical Applications; 1.4.10 Nanocomposites; 1.4.10.1 Poly(pyrrole)-Modified Nanocomposites…”

Tabla de Contenidos: “…Machine generated contents note: Introduction PART I: BACKGROUND 2 Vertebrate Immunity 2.1 Nonspecific Immunity 2.2 Specific Immunity: Antigens and Epitopes 2.3 B Cells and Antibodies 2.4 T Cells and MHC 2.5 Summary 3 Benefits of Antigenic Variation 3.1 Extend Length of Infection 3.2 Infect Hosts with Prior Exposure 3.3 Infect Hosts with Genetically Variable Resistance 3.4 Vary Attachment Characters 3.5 Antigenic Interference 3.6 Problems for Future Research PART II: MOLECULAR PROCESSES 4 Specificity and Cross-Reactivity 4.1 Antigens and Antibody Epitopes 4.2 Antibody Paratopes 4.3 Antibody Affinity Maturation 4.4 Natural Antibodies-Low-Affinity Binding to Diverse Antigens 4.5 Affinity versus Specificity 4.6 Cross-Reaction of Polyclonal Antibodies to Divergent Antigens 4.7 T Cell Epitopes 4.8 Every Host Differs 4.9 Problems for Future Research 5 Generative Mechanisms 5.1 Mutation and Hypermutation 5.2 Stochastic Switching between Archival Copies 5.3 New Variants by Intragenomic Recombination 5.4 Mixing between Genomes 5.5 Problems for Future Research PART III: INDIVIDUAL INTERACTIONS 6 Immunodominance within Hosts 6.1 Antibody Immunodominance 6.2 CTL Immunodominance 6.3 Sequence of Exposure to Antigens: Original Antigenic Sin 6.4 Problems for Future Research 7 Parasite Escape within Hosts 7.1 Natural Selection of Antigenic Variants 7.2 Pathogen Manipulation of Host Immune Dynamics 7.3 Sequence of Variants in Active Switching from Archives 7.4 Ecological Coexistence of Variants within a Host 7.5 Problems for Future Research PART IV: POPULATION CONSEQUENCES 8 Genetic Variability of Hosts 8.1 Polymorphisms in Specificity 8.2 Polymorphisms in Immune Regulation 8.3 Problems for Future Research 9 Immunological Variability of Hosts 9.1 Immunological Memory 9.2 Kinds of Parasites 9.3 Immunodominance of Memory 9.4 Cross-Reactivity and Interference 9.5 Distribution of Immune Profiles among Hosts 9.6 Problems for Future Research 10 Genetic Structure of Parasite Populations 10.1 Kinds of Genetic Structure 10.2 Pattern and Process 10.3 Genome-wide Linkage Disequilibrium 10.4 Antigenic Linkage Disequilibrium 10.5 Population Structure: Hosts as Islands 10.6 Problems for Future Research PART V: STUDYING EVOLUTION 11 Classifications by Antigenicity and Phylogeny 11.1 Immunological Measures of Antigenicity 11.2 Phylogeny 11.3 Hypothetical Relations between Immunology and Phylogeny 11.4 Immunology Matches Phylogeny over Long Genetic Distances 11.5 Immunology-Phylogeny Mismatch with Radiations into New Hosts 11.6 Short-Term Phylogenetic Diversification Driven by Immunological Selection 11.7 Discordant Patterns of Phylogeny and Antigenicity Created by Within-Host Immune Pressure 11.8 Problems for Future Research 12 Experimental Evolution: Foot-and-Mouth Disease Virus 12.1 Overview of Antigenicity and Structure 12.2 Antibody Escape Mutants 12.3 Cell Binding and Tropism 12.4 Fitness Consequences of Substitutions 12.5 Problems for Future Research 13 Experimental Evolution: Influenza 13.1 Overview of Antigenicity and Structure 13.2 Antibody Escape Mutants 13.3 Cell Binding and Tropism 13.4 Fitness Consequences of Substitutions 13.5 Experimental Evolution of Other Pathogens 13.6 Problems for Future Research 14 Experimental Evolution: CTL Escape 14.1 Cleavage and Transport of Peptides 14.2 MHC Binding. 14.3 TCR Binding 14.4 Functional Consequences of Escape 14.5 Kinetics of Escape 14.6 Problems for Future Research 15 Measuring Selection with Population Samples 15.1 Kinds of Natural Selection 15.2 Positive Selection to Avoid Host Recognition 15.3 Phylogenetic Analysis of Nucleotide Substitutions 15.4 Predicting Evolution 15.5 Problems for Future Research 16 Recap of Some Interesting Problems 16.1 Population-Level Explanation for Low Molecular Variability 16.2 Molecular-Level Explanation for Population Dynamics 16.3 Binding Kinetics and the Dynamics of Immunodominance 16.4 Diversity and Regulation of Archival Repertoires 16.5 Final Note…”

Tabla de Contenidos: “…Odds and Ends; 2.6.2. Multiple and mixed video streams; 3. Great Menus: Layers; 3.2. …”

Tabla de Contenidos: “…Quantity of Strategic Relationships in the Future of Work -- The Changing Landscape of Advance -- Business Relationships as a Strategic Assets -- How to Invest in Relationships -- Strategic Relationships in Action -- Biography -- Note -- Chapter 26 Navigating Ambivalence in Our Professional Relationships -- Accept Ambivalence as Normal -- Control "the Controllable" -- Observe and Analyze -- Interrogate Your Biases -- Watch for Mixed Messages -- Focus on Your Goal -- Emphasize the Positive -- Occupying Frenemy Territory -- Biography -- Notes -- Chapter 27 How Leaders Can Help Employees Face Uncertainty -- Uncertain Times, Uncertain Leadership -- The Business Case for Human-Centered Leadership -- Turning Points: Moments That Matter -- Leaders We Can Trust -- Biography -- Notes -- About the editor -- Acknowledgments -- Index -- EULA…”

Tabla de Contenidos: “…: EFL Student Teachersa^€TM Emotions in Online Teaching Practicum</P><P>Fanfiction as Literacy Practices in Rainbow Rowella^€TMs "Fangirl"</P><P>Source Language in Third Language Acquisition for BIPA Students</P><P>Multilingual Children's Language Use: The case of "The Return of Superman" Show</P><P>Language used in "Indonesia's Next Top Model Cycle 2" TV Show</P><P>People's Perception towards the Use of English in a Multilingual Community</P><P>The Language Norms Used by a Korean-Indonesian Mixed-Married Family Living in Korea</P><P>Archiving Indonesian Online Literature Magazine as a Data Resource</P><P>Analyzing Educational Language Policy Using Zone of Mediation Framework</P><P>A Javanese Wordplay Using Affixation and Truncation Processes in Northern Surabaya: Narrative Inquiry</P><P>Translation Procedures of CSIs in Indonesian version of Legend of the Phoenix</P><P>The Discourse of Environment in Indonesian Tourism Website: A<BR>Corpus-Assisted Study</P><P>Robot to Develop Autistic Children's Social Communication Skills</P><P>Developing Global Collaboration Skills in the Era of Unlimited Learning</P><P>Virtual Math Lab: A Guide to Compiling Math Word Problems</P><P>Development of Islamic Guidance and Counselling Applications to Improve Self-Efficacy of Students</P><P></P><P><P>Non-Locomotor Movement Manipulatives in Bocce Sports Learning for Students with Intellectual Disabilities</P><P>Social Media Engagements in the Education Industry for Effective Communication Channel</P><P>Does Education Expenditure Promote Long-run Economic Growth? …”

Tabla de Contenidos: “…Financial Measures -- Comparing Returns -- Summary -- Discussion Questions -- Chapter 11: Prioritizing Desirability -- Kano Model of Customer Satisfaction -- Relative Weighting: Another Approach -- Summary -- Discussion Questions -- Chapter 12: Splitting User Stories -- When to Split a User Story -- Splitting across Data Boundaries -- Splitting on Operational Boundaries -- Removing Cross-Cutting Concerns -- Don't Meet Performance Constraints -- Split Stories of Mixed Priority -- Don't Split a Story into Tasks -- Avoid the Temptation of Related Changes -- Combining Stories -- Summary -- Discussion Questions -- Part IV: Scheduling -- Chapter 13: Release Planning Essentials -- The Release Plan -- Updating the Release Plan -- An Example -- Summary -- Discussion Questions -- Chapter 14: Iteration Planning -- Tasks Are Not Allocated During Iteration Planning -- How Iteration and Release Planning Differ -- Velocity-Driven Iteration Planning -- Commitment-Driven Iteration Planning -- My Recommendation -- Relating Task Estimates to Story Points -- Summary -- Discussion Questions -- Chapter 15: Selecting an Iteration Length -- Factors in Selecting an Iteration Length -- Making a Decision -- Two Case Studies -- Summary -- Discussion Questions -- Chapter 16: Estimating Velocity -- Use Historical Values -- Run an Iteration -- Make a Forecast -- Which Approach Should I Use? …”

Tabla de Contenidos: “…Advances in video games and implications for epistemic thinking -- Epistemic video games -- Serious video games -- Action and multi-player video games -- Video games for advancing critical literacy in educational contexts -- Critical issues, tensions, and debates -- Recommendations for research -- Acknowledgement -- References -- Part II: Body and senses -- References -- Chapter 5: Embodiment, literacies, and digital media -- Marginalised senses in embodied media literacies: Hearing, smell, and taste -- Hearing: Sonic dimensions of language, literacy, and digital media -- Smell: Olfaction in digital media -- Taste: Gustation in digital media -- Materiality in literacies and digital media practices and embodied cognition -- Tensions for engaging the full sensorium in digital media composition -- Classroom implications of the sensory turn for literacies -- Future directions for researching embodiment in digital media practices -- References -- Chapter 6: Haptics and motion in literacy practices with digital media -- Why touch and motion matter to literacy practices with new digital media -- New opportunities for touch and motion in literacy practices with digital media -- Bodily basis of meaning making and early language learning -- Haptics in digital media practices -- Body motion, language learning, and digital media practices -- Tensions and challenges for touch and motion in literacy practices with digital media -- Implications for digital media practices involving touch and motion in the classroom -- Recommendations for researching touch and motion in new literacy practices -- References -- Chapter 7: Virtual, augmented, and mixed reality: New literate bodies -- New directions for VR, AR, and MR literacies -- Social factors: AR, VR, and MR -- The medium: AR, VR, and MR -- Tensions for VR, AR, and MR literacies technologies…”

Tabla de Contenidos: “…Bidirectional Encoder Representations from Transformers -- Generative Pre-trained Transformer -- Summary -- Chapter 8: Exploring Large Language Models in Depth -- Technical requirements -- Introducing LLMs -- LLM architecture -- LLM attention variants -- Prefix decoder -- Transformer nuts and bolts -- Models -- Training LLMs -- Training datasets -- Pre-training properties -- FT with RLHF -- Emergent abilities of LLMs -- Introducing Hugging Face Transformers -- Summary -- Chapter 9: Advanced Applications of Large Language Models -- Technical requirements -- Classifying images with Vision Transformer -- Using ViT with Hugging Face Transformers -- Understanding the DEtection TRansformer -- Using DetR with Hugging Face Transformers -- Generating images with stable diffusion -- Autoencoder -- Conditioning transformer -- Diffusion model -- Using stable diffusion with Hugging Face Transformers -- Exploring fine-tuning transformers -- Harnessing the power of LLMs with LangChain -- Using LangChain in practice -- Summary -- Part 4: Developing and Deploying Deep Neural Networks -- Chapter 10: Machine Learning Operations (MLOps) -- Technical requirements -- Understanding model development -- Choosing an NN framework -- PyTorch versus TensorFlow versus JAX -- Open Neural Network Exchange -- Introducing TensorBoard -- Developing NN models for edge devices with TF Lite -- Mixed-precision training with PyTorch -- Exploring model deployment -- Deploying NN models with Flask -- Building ML web apps with Gradio -- Summary -- Index -- Other Books You May Enjoy…”

Tabla de Contenidos: “…Understanding left and right tags -- Tagging head layers -- Tagging mouth layers -- Tagging the body layers -- Summary -- Chapter 5: Creating Control Handles and Behaviors -- Technical requirements -- Adding modifiers for mouse control -- Adjusting the layer and mesh properties -- Adding draggers and fixed modifiers -- Linking Independent groups -- Assigning layers as Independent -- Welding Independent groups to the body -- Refining limbs with the stick tool -- Adjusting limb rotation -- Summary -- Chapter 6: Physics, Behaviors, and Meshes -- Technical requirements -- Adding physics and danglers -- Modifying universal behaviors -- Creating layer-specific behaviors -- Refining animation with meshes -- Summary -- Chapter 7: Assigning Mouths and Props with Triggers and Swap Sets -- Technical requirements -- Creating triggers for props -- Importing props -- Creating triggers -- Creating swap sets for hands -- Further exploring triggers and swap sets -- Creating visual controls for triggers -- Other tips for using triggers and swap sets -- Summary -- Chapter 8: Refining Layers and Exploring Optional Rig Features -- Technical requirements -- Animating eyelids -- Importing a character with eyelids -- Tagging the eyelids -- Animating breathing and jaw animations -- Implementing head turns -- Tagging the head phases -- Testing the head turns -- Summary -- Part 3: Animating and Refining Your Scene -- Chapter 9: Working with Preset Actions -- Technical requirements -- Creating a walk cycle -- Modifying a walk cycle -- Mixing actions on the timeline -- Summary -- Chapter 10: Animating a Simple Sequence -- Technical requirements -- Assembling the set -- Importing the background assets -- Getting started with building the set -- Positioning the characters in the scene -- Importing and positioning Chaz -- Importing and positioning the alien guest…”

Tabla de Contenidos: “…-- RELATIVES -- PERSONS FROM THE SAME SUBPOPULATION -- PCR-BASED SYSTEMS -- A Conservative Rule for PCR Loci -- DEVELOPMENT OF NEW SYSTEMS -- INADEQUATE DATABASES -- CONCLUSIONS AND RECOMMENDATIONS -- Evidence DNA and Suspect from the Same Subgroup -- Insufficient Data -- Dealing with Relatives -- APPENDIX 4A -- 5 Statistical Issues -- DATA SOURCES -- MATCH PROBABILITY AND LIKELIHOOD RATIO -- Mixed Samples -- Bayes's Theorem…”

Tabla de Contenidos: “…Problem one: "Survival-of-all" events -- 1.2. Problem two: "Mixed default/survival" events -- 1.3. Structure of the paper -- 2. …”

Tabla de Contenidos: “…Qualitative variables -- 1.2.4. Mixed variables -- 1.3. Topological clustering of variables - selective review -- 1.4. …”

Tabla de Contenidos: “…8.4.2 Clay Nanoparticles -- 8.4.3 Carbon-Based Nanoparticles -- 8.5 Nanocomposites Production Processes -- 8.5.1 In Situ Polymerization -- 8.5.2 Solution Intercalation (Or Solution Blending) -- 8.5.3 Direct Mixing -- 8.5.4 Melt Compounding (High Shear Mixing) -- 8.5.5 Three Roll Milling -- 8.5.6 Dispersion Aids (Ultrasounds) -- 8.5.7 Solid-State Shear Processing -- 8.5.8 Combined Approaches -- 8.6 Structural and Functional Properties -- 8.6.1 Mechanical Behavior -- 8.6.2 Thermal Resistance -- 8.6.3 Transport Properties -- 8.6.4 Electrical Conductivity -- 8.6.5 Rheological Properties -- References -- 9 High-Performance Oil/Fuel-Resistant Blends of Ethylene Propylene Diene Monomer (EPDM) and Epoxidized Natural Rubber (ENR) -- 9.1 Introduction -- 9.2 Experimental -- 9.3 Result and Discussion -- 9.3.1 Optimization of Curing System for the ENR/EPDM Blends -- 9.3.2 Optimization of Blend Ratio for the ENR/EPDM Blends -- 9.3.3 Optimization of MAH Concentration for Maleation of EPDM -- 9.3.4 Characterization of ENR-MA-G-EPDM Blends -- 9.3.5 Optimization of Processing Temperature for ENR-MAG EPDM Blends -- 9.3.6 Compatibility Characteristics of ENR-MA-G-EPDM Blends -- 9.3.6.1 Ultrasonic Velocity Measurements in Solution -- 9.3.6.2 Thermomechanical Analysis (TMA) -- 9.3.6.3 Scanning Electron Microscopy (SEM) Studies -- 9.3.7 Evaluation of the Mechanical Properties of Individual Rubbers and Blends -- 9.3.7.1 Stress-Strain Properties -- 9.3.7.2 Determination of Hardness -- 9.3.7.3 Oil/Fuel Swelling Studies -- 9.3.7.4 Aging Studies -- 9.3.7.5 Thermogravimetric Analysis (TGA) -- 9.3.8 Effect of Addition of Carbon Black in ENR/MA-G-EPDM Blend -- 9.4 Summary and Conclusions -- Acknowledgement -- References -- 10 High-Performance Unsaturated Polyester/ f-MWCNTs Nanocomposites Induced by f-Graphene Nanoplatelets -- 10.1 Introduction and History -- 10.1.1 Polymerization…”

Tabla de Contenidos: “…6.1.3 Recovering Subkey Candidates of sk10 228 -- 6.1.4 Attack Procedure 230 -- 6.1.5 Probabilistic Fault Injection 231 -- 6.1.6 Optimized DFA with the MixColumns Operation in the Last Round + 232 -- 6.1.7 Countermeasures against DFA and Motivation of Advanced DFA 236 -- 6.2 Impossible Differential Fault Analysis 237 -- 6.2.1 Fault Model 238 -- 6.2.2 Impossible DFA with Unknown Faulty Byte Positions 238 -- 6.2.3 Impossible DFA with Fixed Faulty Byte Position 244 -- 6.3 Integral Differential Fault Analysis 245 -- 6.3.1 Fault Model 246 -- 6.3.2 Integral DFA with Bit-Fault Model 247 -- 6.3.3 Integral DFA with Random Byte-Fault Model 251 -- 6.3.4 Integral DFA with Noisy Random Byte-Fault Model + 254 -- 6.4 Meet-in-the-Middle Fault Analysis 260 -- 6.4.1 Meet-in-the-Middle Attack on Block Ciphers 260 -- 6.4.2 Meet-in-the-Middle Attack for Differential Fault Analysis 263 -- Further Reading 268 -- 7 Countermeasures against Side-Channel Analysis and Fault Analysis 269 -- 7.1 Logic-Level Hiding Countermeasures 269 -- 7.1.1 Overview of Hiding Countermeasure with WDDL Technique 270 -- 7.1.2 WDDL-NAND Gate 272 -- 7.1.3 WDDL-NOR and WDDL-INV Gates 273 -- 7.1.4 Precharge Logic for WDDL Technique 273 -- 7.1.5 Intrinsic Fault Detection Mechanism of WDDL 276 -- 7.2 Logic-Level Masking Countermeasures 277 -- 7.2.1 Overview of Masking Countermeasure 277 -- 7.2.2 Operations on Values with Boolean Masking 278 -- 7.2.3 Re-masking and Unmasking 278 -- 7.2.4 Masked AND Gate 279 -- 7.2.5 Random Switching Logic 281 -- 7.2.6 Threshold Implementation 283 -- 7.3 Higher Level Countermeasures 285 -- 7.3.1 Algorithm-Level Countermeasures 286 -- 7.3.2 Architecture-Level Countermeasures 289 -- 7.3.3 Protocol-Level Countermeasure 290 -- Bibliography 291 -- Index 293.…”

Tabla de Contenidos: “…6.2.2 Maximum Likelihood (ML) -- Appendix 6.A Gauss-Newton Iteration Scheme: The Single Parameter Case -- Appendix 6.B Gauss-Newton Iteration Scheme: The r Parameter Case -- Appendix 6.C The Newton-Raphson and Scoring Methods -- Appendix 6.D The Levenberg-Marquardt Modification/Compromise -- Appendix 6.E Selection of Initial Values -- 6.E.1 Initial Values for the Logistic Curve -- 6.E.2 Initial Values for the Gompertz Curve -- 6.E.3 Initial Values for the Weibull Curve -- 6.E.4 Initial Values for the Chapman-Richards Curve -- 7 Yield-Density Curves -- 7.1 Introduction -- 7.2 Structuring Yield-Density Equations -- 7.3 Reciprocal Yield-Density Equations -- 7.3.1 The Shinozaki and Kira Yield-Density Curve -- 7.3.2 The Holliday Yield-Density Curves -- 7.3.3 The Farazdaghi and Harris Yield-Density Curve -- 7.3.4 The Bleasdale and Nelder Yield-Density Curve -- 7.4 Weight of a Plant Part and Plant Density -- 7.5 The Expolinear Growth Equation -- 7.6 The Beta Growth Function -- 7.7 Asymmetric Growth Equations (for Plant Parts) -- 7.7.1 Model I -- 7.7.2 Model II -- 7.7.3 Model III -- Appendix 7.A Derivation of the Shinozaki and Kira Yield-Density Curve -- Appendix 7.B Derivation of the Farazdaghi and Harris Yield-Density Curve -- Appendix 7.C Derivation of the Bleasdale and Nelder Yield-Density Curve -- Appendix 7.D Derivation of the Expolinear Growth Curve -- Appendix 7.E Derivation of the Beta Growth Function -- Appendix 7.F Derivation of Asymetric Growth Equations -- Appendix 7.G Chanter Growth Function -- 8 Nonlinear Mixed-Effects Models for Repeated Measurements Data -- 8.1 Some Basic Terminology Concerning Experimental Design -- 8.2 Model Specification -- 8.2.1 Model and Data Elements -- 8.2.2 A Hierarchical (Staged) Model -- 8.3 Some Special Cases of the Hierarchical Global Model…”

Tabla de Contenidos: “…Set the Current Workbook's Name and File Path in a Cell -- Check Whether a Workbook Is Open -- Check Whether a Sheet in an Open Workbook Exists -- Count the Number of Workbooks in a Directory -- Retrieve USERID -- Retrieve Date and Time of Last Save -- Retrieve Permanent Date and Time -- Validate an E-mail Address -- Sum Cells Based on Interior Color -- Count Unique Values -- Remove Duplicates from a Range -- Find the First Nonzero-Length Cell in a Range -- Substitute Multiple Characters -- Retrieve Numbers from Mixed Text -- Convert Week Number into Date -- Separate Delimited String -- Sort and Concatenate -- Sort Numeric and Alpha Characters -- Search for a String Within Text -- Reverse the Contents of a Cell -- Multiple Max -- Return Hyperlink Address -- Return the Column Letter of a Cell Address -- Static Random -- Using Select Case on a Worksheet -- Next Steps -- 5 Looping and Flow Control -- For...Next Loops -- Using Variables in the For Statement -- Variations on the For...Next Loop -- Exiting a Loop Early After a Condition Is Met -- Nesting One Loop Inside Another Loop -- Do Loops -- Using the While or Until Clause in Do Loops -- While...Wend Loops -- VBA Loop: For Each -- Object Variables -- Flow Control: Using If...Then...Else and Select Case -- Basic Flow Control: If...Then...Else -- Conditions -- If...Then...End If -- Either/Or Decisions: If...Then...Else...End If -- Using If...Else If...End If for Multiple Conditions -- Using Select Case...End Select for Multiple Conditions -- Complex Expressions in Case Statements -- Nesting If Statements -- Next Steps -- 6 R1C1-Style Formulas -- Referring to Cells: A1 Versus R1C1 References -- Switching Excel to Display R1C1-Style References -- The Miracle of Excel Formulas -- Enter a Formula Once and Copy 1,000 Times -- The Secret: It's Not That Amazing -- Explanation of R1C1 Reference Style…”

Tabla de Contenidos: “…18 Multivariate Analysis lI: Discriminant Analysis and Conjoint Analysis -- 18.1 Discriminant Analysis -- 18.2 Conjoint Analysis -- Summary -- Key Terms -- Discussion Questions -- Case Study -- 19 Multivariate Analysis III: Factor Analysis, Cluster Analysis, Multidimensional Scaling and Correspondence Analysis -- 19.1 Factor Analysis -- 19.2 Cluster Analysis -- 19.3 Multidimensional Scaling -- 19.4 Correspondence Analysis -- Summary -- Key Terms -- Discussion Questions -- Case Study -- 20 Sales Forecasting -- 20.1 Introduction -- 20.2 Types of Forecasting Methods -- 20.3 Qualitative Methods of Forecasting -- 20.4 Time Series Analysis -- 20.5 Components of Time Series -- 20.6 Time Series Decomposition Models -- 20.7 The Measurement of Errors in Forecasting -- 20.8 Quantitative Methods of Forecasting -- 20.9 Freehand Method -- 20.10 Smoothing Techniques -- 20.11 Exponential Smoothing Method -- 20.12 Double Exponential Smoothing -- 20.13 Regression Trend Analysis -- 20.14 Seasonal Variation -- 20.15 Solving Problems Involving all Four Components of Time Series -- 20.16 Autocorrelation and Autoregression -- Summary -- Key Terms -- Discussion Questions -- Numerical Problems -- Case Study -- V Result Presentation -- 21 Presentation of Result: Report Writing -- 21.1 Introduction -- 21.2 Organization of the Written Report -- 21.3 Tabular Presentation of Data -- 21.4 Graphical Presentation of Data -- 21.5 Oral Presentation -- Summary -- Key Terms -- Discussion Questions -- Case Study -- VI Applications of Marketing Research -- 22 Marketing Mix Research: Product, Price, Place and Promotion Research -- 22.1 Introduction -- 22.2 Marketing Mix: Meaning -- 22.3 New Product Research -- 22.4 Pricing Research -- 22.5 Distribution (Place) Research -- 22.6 Promotional Research -- Summary -- Key Terms -- Discussion Questions -- Case Study -- Appendix -- Index…”