英文字典中文字典


英文字典中文字典51ZiDian.com



中文字典辞典   英文字典 a   b   c   d   e   f   g   h   i   j   k   l   m   n   o   p   q   r   s   t   u   v   w   x   y   z       







请输入英文单字，中文词皆可：

peakedness    
峰度

峰度


请选择你想看的字典辞典：
单词字典翻译
peakedness查看　peakedness　在百度字典中的解释百度英翻中〔查看〕
peakedness查看　peakedness　在Google字典中的解释Google英翻中〔查看〕
peakedness查看　peakedness　在Yahoo字典中的解释Yahoo英翻中〔查看〕

安装中文字典英文字典查询工具!


中文字典英文字典工具:
选择颜色:
输入中英文单字

































































英文字典中文字典相关资料:


  • How to measure peakedness of a distribution model?
    A suggestion: For continuously twice differentiable unimodal distributions, whose mode is in the interior range of the support (not on the boundary, like the exponential pdf), the second derivative of the distribution of the (suitably) standardized random variable evaluated at its mode might be a useful measure of peakedness
  • Can kurtosis measure peakedness? - Mathematics Stack Exchange
    Wikipedia says kurtosis only measures tailedness but not peakedness But I remember my teacher said several times that high excess kurtosis usually corresponds to fat tails AND thin peak High excess
  • Peakedness of a skewed probability density function
    High kurtosis is associated with peakedness and with heavy tailedness (it's also characterized as 'lack of shoulders') One of the volumes of Kendall and Stuart discuss these issues at some length But such interpretations, are, as you note, generally given in the situation of near-symmetry In nonsymmetric cases, the standardized 4th moment is usually highly correlated with the square of the
  • probability - Family of symmetric unimodal distributions where kurtosis . . .
    To dispel the persistent myth that kurtosis measures peakedness flatness, it would be helpful to display a family of symmetric unimodal distributions that become more peaked as kurtosis decreases, and more flat-topped as kurtosis increases
  • Why kurtosis of a normal distribution is 3 instead of 0
    Kurtosis is usually described as either peakedness* (say, how sharply curved the peak is - which was presumably the intent of choosing the word "kurtosis") or heavy-tailedness (often what people are interested in using it to measure), but in actual fact the usual fourth standardized moment doesn't quite measure either of those things
  • In comparison with a standard gaussian random variable, does a . . .
    Heavy Tails or "Peakedness"? Kurtosis is usually thought of as denoting heavy tails; however, many decades ago, statistics students were taught that higher kurtosis implied more "peakedness" versus the normal distribution The Wikipedia page (suggested in a comment) does note this in saying that higher kurtosis usually comes from (a) more data close to the mean with rare values very far from
  • Should we teach kurtosis in an applied statistics course? If so, how?
    But people twist themselves into knots trying to justify "peakedness" because it is (incorrectly) stated that way in their textbooks, and they miss the real applications of kurtosis These applications mostly relate to outliers, and of course outliers are important in applied statistics courses
  • Measure of the sharpness of a peak - Mathematics Stack Exchange
    A naive approach would be to simply measure the maximum of the peak, but it doesn't seem like a solid way to capture the peakedness, especially on noisy data with a lot of local extrema
  • skewness - Is a fat tail same as skew - Cross Validated
    Kurtosis is not peakedness, but it also isn't fat-tailedness unless you define it that way For example, (-1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1) has a large kurtosis despite not having any "tail" at all past -1 This is very unlike the tail of a power-law distribution, for instance, where once your probability density goes over that predicted from a Gaussian, it stays there





中文字典-英文字典  2005-2009