Statistics Assignment Help With Linear Transformation
11.6 Linear Transformation:
From matrix theory, we know that the system has a unique solution if |A| ≠ 0. In other words, we can express X uniquely in terms Y if A is non singular and the solution is given by
X= A-1 Y
Where A-1 is the inverse of the square matrix A.
The linear transformation defined above is said to orthogonal if
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Following are some of the topics in Exact Sampling distributions in which we provide help:
- Exact Sampling distributions
- Derivation Of The Chi Square Distribution
- Moment Generating Function Of x2 Distribution
- Cumulant Generating Function Of x2 Distribution
- Limiting form of x2 distribution for large degrees of freedom
- Characteristic function of x2 distribution:
- Chi Square Probability Curve
- Conditions For The Validity Of Chi Square Test
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