A sample Of length hivariate densty nas been from known nction. The sample data points are 3.0, 4.5, 7.5, 8.0, and 8.5. Use the Parzen windows method to estimate the unknown density function throughout the cange 0 < x < 12. Assume that h = 1. The following kerel should be used: %3|

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A sample D of length 5 has been drawn from an unknown univariate density function. The sample data points are 3.0, 4.5, 7.5, 8.0, and 8.5.
Use the Parzen windows method to estimate the unknown density function throughout the range 0 ≤ x ≤ 12. Assume that h = 1. The following kernel should be used:

k(u) = {(((2+u)/3)if-2≤u <-1; (1/3)if-1≤u <1; ((2-u)/3)if1 ≤u<2);  0 otherwise

Plot the unknown density function on a sheet of graph paper.

A sample D of length 5 has been drawn from an unknown univariate density function.
The sample data points are 3.0, 4.5, 7.5, 8.0, and 8.5.
Use the Parzen windows method to estimate the unknown density function throughout the
range 0 < x < 12. Assume that h = 1. The following kernel should be used:
2 + u'
if – 2 <u < -1
к(и) %3
if – 1< u <1
if 1< u < 2
otherwise
Plot the unknown density function on a sheet of graph paper.
Transcribed Image Text:A sample D of length 5 has been drawn from an unknown univariate density function. The sample data points are 3.0, 4.5, 7.5, 8.0, and 8.5. Use the Parzen windows method to estimate the unknown density function throughout the range 0 < x < 12. Assume that h = 1. The following kernel should be used: 2 + u' if – 2 <u < -1 к(и) %3 if – 1< u <1 if 1< u < 2 otherwise Plot the unknown density function on a sheet of graph paper.
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