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2 votes
1 answer
2k views

What is the impact of duplicate data on the variance of regression coefficient? [duplicate]

What is the impact of duplicate data on the variance of the regression coefficient?. Does increasing the size of data always certainly decrease the variance of the model coefficients? Suppose I have ...
NAS_2339's user avatar
  • 223
0 votes
1 answer
106 views

Are there possibilities to determine 95% confidence interval for right skewed data?

The dataset that I'm using for my thesis is right skewed. It is about lead times (days) I tried log10 transforming it in SPSS but it still does not meet the requirement p>0,05 (Shapiro-wilk). So ...
Yorick's user avatar
  • 1
4 votes
2 answers
292 views

Linear model – confidence interval for $\sigma$

I'd like to derive a $100\%(1-\alpha)$ confindence interval for $\sigma$ in a linear model $Y=X\beta+\epsilon$, $X$ - $n\times p$. I thought that I could make use of the fact that: $\frac{RSS}{\sigma}=...
thesecond's user avatar
  • 390
2 votes
2 answers
132 views

Computing the confidence interval for two samples but getting slightly different answers

Consider two samples $X_1,..,X_k$ and $Y_1,..,Y_m$ where $X_i \sim \mathcal{N}(\mu_x,\,\sigma^{2})\,$ and $Y_i \sim \mathcal{N}(\mu_y,\,\sigma^{2})\,.$ Say $k=m=100$ and $k+m=n$. Say that the ...
OBIEK's user avatar
  • 43
1 vote
1 answer
8k views

How to find confidence interval for variance?

Well, I'm taking a statistics class online, and the problem goes like this: Drug concentrations​ (measured as a​ percentage) for 25 randomly selected tablets are shown in the accompanying table. For ...
user3421796's user avatar
0 votes
1 answer
24 views

How does the individual variance of a match of a game affect long term stat confidence?

I play a 1v1 game mode where opponents shoot a giant football at each others goal. I wish to increase my shots defended decimal. ...
Jack Robson's user avatar
1 vote
1 answer
1k views

Why do we include the variance of $\epsilon$ for the variance of predicted values? (normal linear models)

Suppose I have a normal linear model $Y = X\boldsymbol{\beta}+\epsilon$, $\epsilon \sim N(0,\sigma^{2}I_{n})$. Given covariates $x_{*}$ and estimated parameter vector $\hat{\boldsymbol{\beta}}$, I ...
python_learner's user avatar
2 votes
1 answer
1k views

Confidence interval for the variance when we know the mean of the population

We have $n$ random samples from a population which has normal distribution, and the mean of the population is known. How do we change the procedure of finding a confidence interval for the population ...
AKh's user avatar
  • 21
1 vote
0 answers
70 views

Confidence interval of a half-circular parameter

I am modelling two dimensional ovals on a two dimensional plane. Each oval is defined by five parameters, namely x, y, s1, s2, t where ...
Poelie's user avatar
  • 113
5 votes
2 answers
519 views

Understanding the role of the chi-squared distribution in the confidence interval for the variance

In my textbook they have this inequality: $$ \chi_{1-\frac{\alpha}{2}}^2 < \frac{(n-1)s^2}{\sigma^2} < \chi_{\frac{\alpha}{2}}^2$$ which later becomes this statement: $$\frac{(n-1)s^2}{\chi_{\...
poli-sci's user avatar