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Summary statistics for the patent distributions of the 22 countries.

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Figshare2015-12-02 更新2026-04-29 收录
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https://figshare.com/articles/dataset/_Summary_statistics_for_the_patent_distributions_of_the_22_countries_/201701
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The best fit of the empirical data to a power law model is achieved with a power law exponent and cut-off . The estimated standard deviation in these parameters is also given. In the case of the standard deviation of , two estimates are given. The first, , is calculated using a bootstrap method via the Matlab code which accompanies [21]. The estimate is obtained via the analytic expression eqn. (3.6) of [21] which gives an estimate for the standard error , assuming that the underlying distribution is well fitted by a power law (i.e. the -value is large). The estimate is calculated via the bootstrap method. The values for indicate the “goodness of fit” of the empirical data to a power law model. Also given, is the number of applicants and the total number of patents held.
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2015-12-02
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