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Maximum Principle for Survey Data Analysis

Maximum Principle for Survey Data Analysis. realiability tuning parameter the principle theoretical aspects practical recommendations illustration. Food preferences investigation. Food preferences investigation. Some theoretical aspects.

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Maximum Principle for Survey Data Analysis

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  1. Maximum Principle for Survey Data Analysis • realiability • tuning parameter • the principle • theoretical aspects • practical recommendations • illustration

  2. Food preferences investigation

  3. Food preferences investigation

  4. Some theoretical aspects For some time I'm working on a problem of sampling a set of Kobservations (cases) from a large data set with N >> K cases so thatthe selected observations are as "different as possible". In moremathematical terms, I'm interested in locating those K cases whichwill result in a (not necessarily Euclidean) distance matrix in whichthe smallest off-diagonal entry d_ij is as large as possible. I have developed an algorithm which seems to work very well andgenerates sets which are either optimal or close to optimality withoutcomputing the entire distance matrix. However, I'm thinking moreand more that this maybe a known problem to people who work inCluster Analysis, MDS, or classification. I wonder if anybody onthis list could point me to some references about this searchproblem.Thanks, Wolfgang Hartmann

  5. Some theoretical aspects In order to find a reliable component K, it seems tautological that following our maximum principle, we have to solve maximization problem: K = argmax(x,y)Fk(H)

  6. Positive / Negative Indifferent 0 100 Excellent Very good Bad Very bad

  7. Positive / Negative

  8. Negative/Positive Scale in the Questionnaire

  9. Negative/Positive Scale in the Questionnaire Positive Pool Negative Pool

  10. Negative/Positive Scale in the Questionnaire Positive Pool Komponents

  11. Negative/Positive Scale in the Questionnaire Komponents Negative Pool

  12. Respondent 00 A0100038 actual

  13. Respondent 00 A0100038 prognoses

  14. Sundheds-feber for virksomhed A

  15. Sundheds-feber for virksomhed B

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