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Statistics for marketing and consumer research / Mario Mazzocchi.

By: Material type: TextTextPublisher: Los Angeles : Sage, 2008Description: xviii, 412 pages : illustrations ; 25 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 1412911214
  • 9781412911214
  • 1412911222
  • 9781412911221
Subject(s): DDC classification:
  • 658.83028 22
LOC classification:
  • HF5415.2 .M3817 2008
Contents:
Part I. Collecting, Preparing and Checking the Data -- 1. Measurement, Errors and Data for Consumer Research -- 2. Secondary Consumer Data -- 3. Primary Data Collection -- 4. Data Preparation and Descriptive Statistics -- Part II. Sampling, Probability and Inference -- 5. Sampling -- 6. Hypothesis Testing -- 7. Analysis of Variance -- Part III. Relationships Among Variables -- 8. Correlation and Regression -- 9. Association, Log-linear Analysis and Canonical Correlation Analysis -- 10. Factor Analysis and Principal Component Analysis -- Part IV. Classification and Segmentation Techniques -- 11. Discriminant Analysis -- 12. Cluster Analysis -- 13. Multidimensional Scaling -- 14. Correspondence Analysis -- Part V. Further Methods in Multivariate Analysis -- 15. Structural Equation Models -- 16. Discrete Choice Models -- 17. The End (and Beyond).
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Holdings
Item type Current library Call number Copy number Status Date due Barcode
Book City Campus City Campus Main Collection 658.83028 MAZ (Browse shelf(Opens below)) 1 Available A428675B

Includes bibliographical references (pages 387-398) and index.

Part I. Collecting, Preparing and Checking the Data -- 1. Measurement, Errors and Data for Consumer Research -- 2. Secondary Consumer Data -- 3. Primary Data Collection -- 4. Data Preparation and Descriptive Statistics -- Part II. Sampling, Probability and Inference -- 5. Sampling -- 6. Hypothesis Testing -- 7. Analysis of Variance -- Part III. Relationships Among Variables -- 8. Correlation and Regression -- 9. Association, Log-linear Analysis and Canonical Correlation Analysis -- 10. Factor Analysis and Principal Component Analysis -- Part IV. Classification and Segmentation Techniques -- 11. Discriminant Analysis -- 12. Cluster Analysis -- 13. Multidimensional Scaling -- 14. Correspondence Analysis -- Part V. Further Methods in Multivariate Analysis -- 15. Structural Equation Models -- 16. Discrete Choice Models -- 17. The End (and Beyond).

Machine converted from AACR2 source record.

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