U-Quadratic Distribution
Where do you meet this distribution?
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Economic
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Shape of Distribution
Basic Properties
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Two parameters are required.
These parameters are minimum and maximum value of variable respectively.
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Continuous distribution defined on bounded range
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This distribution is always symmetric.
Probability
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Cumulative distribution function
where
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How to compute these on Excel.
A | B | |
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1 | Data | Description |
2 | 2 | Value for which you want the distribution |
3 | 1 | Value of parameter A |
4 | 5 | Value of parameter B |
5 | =12/((A4-A3)^3) | Vertical scale |
6 | (A3+A4)/2 | Mean of the distribution |
7 | Formula | Description (Result) |
8 | =A5*((A2-A6)^3+(A6-A5)^3)/3 | Cumulative distribution function for the terms above |
9 | =A5*(A2-A6)^2 | Probability density function for the terms above |
Quantile
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Inverse of cumulative distribution function
where
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How to compute this on Excel.
A | B | |
---|---|---|
1 | Data | Description |
2 | 0.5 | Probability associated with the distribution |
3 | 1 | Value of parameter A |
4 | 5 | Value of parameter B |
5 | =12/((A4-A3)^3) | Vertical scale |
6 | =(A3+A4)/2 | Mean of the distribution |
7 | Formula | Description (Result) |
8 | =(3*A2/A5-(A6-A5)^3)^(1/3)+A6 | Inverse of the cumulative distribution function for the terms above |
Characteristics
Mean -- Where is the "center" of the distribution? (Definition)
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Mean of the distribution is given as
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How to compute this on Excel
A | B | |
---|---|---|
1 | Data | Description |
2 | 8 | Value of parameter A |
3 | 2 | Value of parameter B |
4 | Formula | Description (Result) |
5 | (A2+A3)/2 | Mean of the distribution for the terms above, (5) |
Standard Deviation -- How wide does the distribution spread? (Definition)
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Variance of the distribution is given as
Standard Deviation is a positive square root of Variance.
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How to compute this on Excel
A | B | |
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1 | Data | Description |
2 | 8 | Value of parameter A |
3 | 2 | Value of parameter B |
4 | Formula | Description (Result) |
5 | =SQRT(3)*(A3-A2)/(2*SQRT(5)) | Standard deviation of the distribution for the terms above |
Skewness -- Which side is the distribution distorted into? (Definition)
- Skewness of the distribution is .
Kurtosis -- Sharp or Dull, consequently Fat Tail or Thin Tail (Definition)
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Kurtosis of the distribution is given as
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How to compute this on Excel
A | B | |
---|---|---|
1 | Data | Description |
2 | 8 | Value of parameter A |
3 | 2 | Value of parameter B |
4 | Formula | Description (Result) |
5 | =3*(A3-A2)^4/112 | Kurtosis of the distribution for the terms above |
Random Numbers
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Random number x is generated by inverse function method, which is for uniform random U,
where
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How to generate random numbers on Excel.
A | B | |
---|---|---|
1 | Data | Description |
2 | 1 | Value of parameter A |
3 | 5 | Value of parameter B |
4 | =12/((A3-A2)^3) | Vertical scale |
5 | =(A2+A3)/2 | Mean of the distribution |
6 | Formula | Description (Result) |
7 | =(3*NTRAND(100)/A2-(A3-A2)^3)^(1/3)+A3 | 100 U-quadratic deviates based on Mersenne-Twister algorithm for which the parameters above |
Note The formula in the example must be entered as an array formula. After copying the example to a blank worksheet, select the range A7:A106 starting with the formula cell. Press F2, and then press CTRL+SHIFT+ENTER.
NtRand Functions
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