model.normal.bounds.ss: normal model (t test) using summary statistics lower/upper...
In mattdelhey/mdutils: Utilities for dealing with data.
Description
Usage
Arguments
Value
See Also
Description
normal model (t test) using summary statistics
lower/upper bounds for univariate rv with unknown var
Usage
1
model.normal.bounds.ss(xbar, sigma, n, alpha = 0.05)
Arguments
xbar
sample mean
n
number of observation
alpha
significance level
sigma2
sample variance
Value
vector of lower/upper bounds of realizations of rv
See Also
Other models: fit_bsm;
model.binomial.bounds;
model.normal.bounds
mattdelhey/mdutils documentation built on May 21, 2019, 12:57 p.m.
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Description Usage Arguments Value See Also
Description
normal model (t test) using summary statistics lower/upper bounds for univariate rv with unknown var
Usage
1 | model.normal.bounds.ss(xbar, sigma, n, alpha = 0.05)
|
Arguments
xbar |
sample mean |
n |
number of observation |
alpha |
significance level |
sigma2 |
sample variance |
Value
vector of lower/upper bounds of realizations of rv
See Also
Other models: fit_bsm;
model.binomial.bounds;
model.normal.bounds
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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