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Using the pmvnorm function

Along with the density of multivariate normals, you often need to calculate the cumulative distributions of multivariate normals to obtain the volume of the density between two specified values. In this exercise, you will use the pmvnorm() function to calculate the cumulative distribution for specified bivariate normals.

Latihan ini merupakan bagian dari kursus

Multivariate Probability Distributions in R

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Instruksi latihan

  • Compute the volume under a standard bivariate normal distribution between \(\begin{pmatrix} -1\\ -1 \end{pmatrix}\) and \(\begin{pmatrix} 1 \\ 1 \end{pmatrix}\).
  • Calculate the volume between \(\begin{pmatrix} -5 \\ -5\end{pmatrix}\) and \(\begin{pmatrix} 5 \\ 5 \end{pmatrix}\) for a bivariate normal with mean mu.sim and variance sigma.sim.

Latihan interaktif langsung praktik

Cobalah latihan ini dengan melengkapi kode contoh ini.

# Volume under a bivariate standard normal
pmvnorm(lower = ___, upper = ___)

# Volume under specified mean and variance-covariance matrix
pmvnorm(___, mean = ___, sigma = ___)
Edit dan Jalankan Kode