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Flashcards

GBA 424

Ryan Page Inglês 25 flashcards

Flashcards do conjunto (25)

  1. 1Data Sensibility1. Frequencies (weird distributions)
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    2. Min / Max Values outside of E(range)
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    3. Correlations (100%)
  2. 2Is The Sample Representative?Chi-Square
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    Goodness of Fit to evaluate
  3. 3If Face-Validity Check Rejects SampleIs difference economically meaningful?
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    No, doesn't matter.
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    Can observations within each group represent that group well?
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    Yes, Re-weight
  4. 4TURF AnalysisTotally Unduplicated Reach and Frequency
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  5. 5TURF Analysis UsesOriginally developed for media, however, useful for deciding which product(s) to launch next
  6. 6TURF Analysis Process1. Start from set of options
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    2. Add every potential combination of options one at a time
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    3. Calculate reach
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    4. Present in contrast to original
  7. 7ReachThe set of people who get at least one exposure.
  8. 8FrequencyThe number of exposures each person receives
  9. 9Conjoint Analysis Uses1. Product Design
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    2. Competitive and cannibalization analysis
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    3. Pricing Decisions
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    4. Benefit Segmentation
  10. 10Benefit Segmentation (Segments)1. Individual
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    2. A Priori
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    3. Aggregate
  11. 11Benefit Segmentation (Analysis)A Priori Segmentation
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    When you know segments beforehand
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    Cluster Analysis
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    Group based on demographics or purchase history
  12. 12Conjoint Analysis (Warnings!!!)1. Sample bias of heavy users
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    2. Under-estimate price sensitivity
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    3. Over-estimate purchase likelihood
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    4. Lower Prediction accuracy in contrast to actual data
  13. 13Experiments (Analysis Design)Incremental
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    Exclusive v. Lift
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    Conditional Causal Effect
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    Slice & Dice, Interactions, Causal Forests
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    Diff v. Diff-in-Diff
  14. 14DiffRandom Assignment
  15. 15Diff-in-DiffMatched Pairs
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    1. First Diff: Treatment & Control
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    2. Second Diff: Before & After
  16. 16Experiments (Experimental Design)1. Use Test and Control Groups
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    2. Assign randomly or match groups
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    Don't forget to control contamination
  17. 17Experiments (Warnings!!!)1. Self-Selection
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    2. Spillovers
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    3. Compliance
  18. 18Exclusive Offers1. Obtain Ground Truth
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    2. Can apply any predictive algorithm
  19. 19Inclusive Offers1. Evaluate Incremental Effect
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    2. Lift actions are useful for obtaining causal inference
  20. 20Principle Component Analysis1. Starts from correlation matrix
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    2. Re-arrange variables to form new variables called principle components
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    3. Order these components in-terms of importance (most to least)
  21. 21Factor Analysis by MLE1. Starts from correlation matrix
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    2. Reduce variables by forming factors
  22. 22Matrix FactorizationImputes missing ratings which are recommendations
  23. 23Ground Truth (Definition)The data that is believed to be true
  24. 24Problems with Ground Truth1. Sample Bias
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    2. Insufficient Sample
    Over-sample groups with poor predictive performance
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    3. Missing data
  25. 25Dealing with Missing Data (Methods)1. Mean Imputation
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    2. Random Imputation
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    3. Use Predictive Model

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Descrição
FlashCards sobre GBA 424, criado por Ryan Page em 29-02-2020.
Criado por
Ryan Page
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