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    Top : Business and economy » Data analysis

    1. Adaptive Designs
    Describes adaptive statistical designs and their benefits, and some programs for optimizing and analyzing such designs.
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    2. Advanced Statistics
    Advanced statistics and optimization including Response and Yield Surface Modeling.
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    3. Allstat Statistics Mailing List
    A UK-based worldwide e-mail broadcast system for the statistical community, operated by CTI Statistics and maintained by Dr Stuart G Young.
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    4. Analysis of Multiple Informant Data
    Statistical methodology for the analysis of multiple informants/sources with applications to child psychopathology and gerontology.
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    5. Biostatistics Resources on the World Wide Web
    Links to departments, associations, data, software, teaching resources.
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    6. Calculation for the Sobel Test
    Interactive calculator performs tests of mediation in path analysis or structural equation models.
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    7. Chance Database Welcome Page
    This data base contains materials designed help teach a Chance course or a more standard introductory probability or statistics course.
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    8. Chebyshev's Inequality
    Chebyshev's inequality with one-tailed and unimodal versions, putting statistical limits on the dispersion of probability distributions.
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    9. Common Distribution Calculators
    Calculators, plotters, and random number generators for pdf and cdf of the common continuous and discrete probability distributions.
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    10. Effect Size Calculator
    On-line calculator for Cohen's d and r, presented by Lee A. Becker.
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    11. Entropy in Science
    Specializing in the uses of entropy in statistics and science.
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    12. Experimental Designs, DOE
    A collection of experimental designs that a statistical practicioner may find useful.
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    13. Free Statistics On The Web
    An index of free statistical software, data and resources.
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    14. Glossary of Statistical Terms
    Explains trade words used in the field. Includes resource links.
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    15. History of the Monte Carlo Method
    The Monte Carlo method provides approximate solutions to a variety of mathematical problems by performing statistical sampling experiments on a computer.
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