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2 votes
0 answers
74 views

How to Calculate the Variance of the Aggregate of a Bernoulli Process Given Known False Positive and False Negative Rates

I have $n$ sensors which output either $0$ or $1$. These sensors have known measurement error reflected by a false positive rate, $fpr$ and false negative rate, $fnr$. In my case, $fnr > fpr$. ...
Jeremy Neiman's user avatar
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
1 vote
0 answers
100 views

What is the confidence interval of consecutive subsampling

I have a situation where I do consecutive subsampling from an original population and I'm trying to figure out what the final confidence interval would be. I know that Var(A,B) = Var(A) + Var(B) if A ...
Malte Jensen's user avatar
0 votes
1 answer
53 views

Evaluating randomized algorithms on randomized problem instances

Suppose we want to compare the performances of two algorithms — call them A and B — on a problem X. In particular, suppose that we want to evaluate the algorithms on random instances of X drawn from ...
beserious's user avatar
0 votes
1 answer
80 views

Calculating variance / standard errors for a Weighted Repeat Sales model

I'm writing an implementation of the Case-Shiller Real Estate Index, which is based on a variation of the weighted least squares, except for the introduction of a dummy matrix Z. I've calculated the ...
Ilya Voytov's user avatar
2 votes
2 answers
58 views

How can I confidently state the error of a specific test is within a range with a 95% confidence interval

I have a test that provides values with known amounts of error. For instance the error on the test (Value - TrueValue) = -7.62, -9.33, -8.36, -9.79,-10.45, -9.51, -10.83, -10.64, -9.96, -10.30 I want ...
Jonah Kornberg's user avatar
1 vote
0 answers
128 views

Confidence interval for exponentially distributed estimator

We have an estimator $\hat{\theta}\geq 0$ for $\theta$, with distribution function $P\{\hat{\theta}\leq t \}=1-e^{-t/\theta}$, which we can recognize as the cdf of the exponential distribution. Our ...
Joe's user avatar
  • 85
1 vote
1 answer
180 views

Deriving a confidence interval for the variance $\sigma^2$ of a non-normal distribution

If $X_1, \cdots, X_n$ are normally distributed, the Student's Theorem asserts that the pivot variable $$\frac{(n-1)S^2}{\sigma^2}$$ is distributed $\chi^2(n-1)$. Then suppose I can find constants $a$ ...
TheProofIsTrivium's user avatar
1 vote
1 answer
556 views

Confidence interval calculation: why sometimes the SD is dividted by the sqrt of sample size, and sometimes not?

I have trouble understanding the following: Looking how reference ranges for laboratory values are calculated, I found the following: In our sample of 72 printers, the standard error of the mean was ...
John V's user avatar
  • 95
0 votes
0 answers
28 views

Where does (co)variance come from in a linear (OLS) regression?

Given that linear models can be solved exactly via calculus, how is it possible to define a variance for the parameters ($\mathbf{a}$) which minimize some error function? say $Err=(o_i-f(x_i; \mathbf{...
Craig's user avatar
  • 143
1 vote
0 answers
45 views

Practical use for heritability value at sub-population level?

For me as a layperson, heritability is something that much smarter people than me calculate, and there are several questions already on the forum about how to do that (eg, this and this). I ...
Arnon Weinberg's user avatar
1 vote
1 answer
160 views

How to calculate errors of best value of parameters that obtained from MCMC method and observational data

I had a model and some observational data. I used MCMC method to obtain the best value of free parameters and used some coding to plot contours of 1 to 3 sigma confidence levels (as you see in the ...
nooshineh zabihi's user avatar
0 votes
2 answers
231 views

Estimate confidence interval for the variance of whatever population distribution

Given a sample of the variable $X$ = ($X_1$, .., $X_n$). If the $X$ follows a normal distribution, I know that we can estimate the confidence interval of the variance of $X$ by using the $\chi^{square}...
InTheSearchForKnowledge's user avatar
1 vote
0 answers
66 views

What are the implications of a low coverage in multiple imputation?

When testing multiple imputation algorithms in simulations, the bias of the examined estimates and the 95% coverage rate are often used as a quality metric. I understand that it is generally ...
joacim022's user avatar

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