# All Questions

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### Construct validity via SEM

It's often seen that convergent and divergent validity of a construct is checked via manifest correlations. I asked myself if such an approach can be replaced by testing a whole SEM containing the ...
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### Help in CRLB for PRBS input

I am trying to do blind system identification of a univariate linear FIR model : $$y(n)=\mathbf{h^Tz(n)} + w(n)$$ Where the input $z(n)$ is a PRBS sequence of $\pm1$. Assuming, the input to be from ...
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### Help in the expression for log-likelihood and maximization for PRBS signal

I am trying to do blind system identification of a univariate linear FIR model : $$y(n)=\mathbf{h^Tz(n)} + w(n)$$ Where the input $z(n)$ is a PRBS sequence of $\pm1$. Assuming, the input to be from ...
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### Help in understanding a paper on how to apply Bayesian estimation in $R^k$ Euclidean space?

I am facing difficulty in identifying how the formula given by Eq(2) in the paper ...
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### How to interpret conditional odds ratios from a three-way contingency table?

I am trying to understand how to correctly interpret the estimated conditional odds ratios from a loglinear model on a three-way contingency table. This is an example from Agresti 2013 (p. 346, ...
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### Notation of MCMCglmm for multinomial multilevel models

I want to estimate a multilevel multinomial logit model but I am struggling with the terminology and notation used by the R-package MCMCglmm. There is documentation ...
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Is it fair to assume that this values have a normal distribution? Frequency of clock of a CPU [I have 100 observations between 100 Mhz and 4Ghz] Ram of a Computer [I have 150 observations between ...
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### Transformation among power-means

It is well-known that arithmetic and geometric mean are strongly related via logarithmic transformation, i.e. if we take arithmetic mean of logarithmic-transformed values we get the same as if we take ...
I am wondering about how to specify multivariate normal distributions for vectors that have undergone a Fourier transform. For instance: Say we have the mean vector $\boldsymbol{\mu}$ and covariance ...