# Questions tagged [references]

Questions seeking external references (books, papers, etc.) about a particular subject. Always use a more specific tag in addition.

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### Which analysis is suitable for comparing cross-correlation coefficients between experimental phases in a repeated measures design?

I have a repeated measures experimental design, with a within-subjects factor phase and a between-subjects factor order of phases. I will compare pairs of time series data (for pairs of participants) ...
1 vote
19 views

### Lower Tail Bound for Noncentral chi-squared distribution

A noncentral chi-squared random variable $Z$ is of the form $$Z = \sum_{i=1}^k X_i^2$$ where $(X_1, X_2, \ldots, X_i, \ldots, X_k)$ be $k$ are independent, normally distributed with mean $\mu_i$ and ...
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+50

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### Coefficient of determination with binary prediction

The coefficient of determination $R^2$ is a popular measure of regression performance that compares the mean squared-deviation of predictions to the variance of the actual data. If instead of ...
6 views

### What are the best books about human rating and feedback systems?

I'm studying evaluation data collection and rating evaluation of LLM models using platforms of human raters like Surge or Scale AI. I'm also studying how we can use survey methods of users of LLMs to ...
67 views

### Reference for Directional Statistics of Plane Orientation

I've got a project I'm working on where I've got the orientation (normal) vectors of planes. These vectors are all within a unit hemisphere where the $z$-coordinate is strictly positive. The ...
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### Vintage of this lower bound on skewness for positive data with given mean and sd?

It turns out there is a lower bound on the skewness $g_1$ of any strictly positive set of data having a given mean μ and standard deviation σ: $$g_1 > \sigma/\mu - \mu/\sigma.$$ Although ...
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### Repeated measures analysis of covariance literature

Does anyone have a literature to study about repeated measures ANCOVA? For example, the concept, assumption, and how to calculate manually?
246 views

### Citations explaining the problems with two-stage statistical testing

I am writing a review about analyzing data sampled from lognormal distributions, and I want to explain the problem with first running a normality test and using that result to choose which test to run....
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1 vote
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### I don't think this is conditional dependence, so what is it?

I am looking for the name of the following phenomenon. There are three random variables, $X,Y,Z$. We have $P(X,Y) \neq P(X)P(Y)$ and $P(Y,Z) \neq P(Y)P(Z)$. In other words, $X$ and $Y$ are dependent, ...
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### ANOVA Type III understanding

I stumbled across something very interesting to me earlier, in the question and answer here: ANOVA type III strange results I reiterate the warning I found in the function documentation, highlighting ...
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1 vote
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### What do we call a Poisson point process with an instantaneous log-rate being a Wiener process?

I have implemented a stochastic process for simulating demand of service that wanders in its average rate. This is a useful scenario for evaluating a controller that tries to optimize availability and ...
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543 views

### Markov Chains with Changing Number of States

I have seen these kinds of Discrete State Markov Chains before (Continuous Time or Discrete Time): Homogeneous (Probability Transition Matrix is constant) Non-Homogeneous (Probability Transition ...
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### Data generation processes that "vary slowly enough"

I am considering some abstract data generation processes producing data by first drawing features $x_{1:n}\sim p(x)$ iid, and then drawing the responses $y_i\sim p(y\mid x_i)$ iid, where $p(y\mid x)$ ...
1 vote
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### Literature for a supervised task on time series

I was introduced to the following project at my company. We have $n$ time series coming from $n$ sensors. Each sensor has monitored a physical signal at a specific location. For each time series, a ...
15 views

### Model parameter averaging in Bagging

I wonder if the following bagging method is used in practice, or at least any reference for this. Assume that we sample (sub)-datasets from the original training set, and train $n$ many logistic ...
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