TDIST_XKURT - Kurtosis of t-distribution

Calculates the excess kurtosis of the Student's t-Distribution.


is the degrees of freedom of the Student's t-Distribution (v > 4).


  1. TDIST_XKURT is declared as deprecated. Please, use DIST_XKURT as TDIST_XKURT is listed here only for backward compatibility.
  2. The probability density function of the Student's t-Distribution is defined as:
    $$f(t) = \frac{\Gamma(\frac{\nu+1}{2})} {\sqrt{\nu\pi}\,\Gamma(\frac{\nu}{2})} \left(1+\frac{t^2}{\nu} \right)^{-(\nu+1)/2} $$
    • $\Gamma (.)$ is the gamma function.
    • $\nu $ is the degrees of freedom (i.e. shape parameter).
  3. The excess kurtosis of t-Distribution is defined as:
    $$\gamma_2= \frac{6}{\nu-4}$$
    • $\nu$ is the degrees of freedom.
  4. IMPORTANT The Student's t-Distribution kurtosis is only defined for degrees of freedom values greater than 4.
  5. Special Cases:
    1. $ \nu\to 4^+$
      $$\lim_{\nu\to 4^+}\gamma_2(\nu)=+\infty$$
    2. $ \nu\to \infty $
      $$\lim_{\nu\to +\infty}\gamma_2(\nu)=0$$


Example 1:

Student's t-Distribution X-Kurtosis Plot

Student's t-Distribution X-Kurtosis Plot


Example 2:

Formula Description (Result)
=TDIST_XKURT(5) Excess kurtosis with 5 degrees of freedom (6.000)
=TDIST_XKURT(100) Student t-dist approaches Normality as v >> 1 (0.063)
=TDIST_XKURT(4.002) Excess kurtosis increases as v approaches 4 (3000.000)


Files Examples


  • K.L. Lange, R.J.A. Little and J.M.G. Taylor. "Robust Statistical Modeling Using the t Distribution." Journal of the American Statistical Association 84, 881-896, 1989
  • Hurst, Simon, The Characteristic Function of the Student-t Distribution, Financial Mathematics Research Report No. FMRR006-95, Statistics Research Report No. SRR044-95


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