Your English writing platform
Discover LudwigSuggestions(1)
Exact(5)
We derive the large sample theory for GMM and GEL estimators under nearly-singular design.
Large sample theory for these estimates delivers simple approximations that work well in finite samples.
We present large sample theory for the proposed estimators and show that they are more efficient than the estimator using the true selection probabilities.
Estimation of 95% confidence intervals (95% CI) for ORs was based on large sample theory for conditional maximum likelihood estimators.
Due to the small sample size of the pilot data, traditional multilevel modeling techniques which rely on large sample theory for accurate p-values were not appropriate.
Similar(55)
According to sampling theory for the radiation space, the original interface space can be divided into coarser-grained and non-overlapping cells.
Generalizability theory is a random sampling theory for examining the dependability of measurement procedures that has been heralded by many psychometricians as "the most broadly defined psychometric model currently in existence".
Since this model is based on the uniform sampling of the channel, it has been used with the compressed sampling theory for channel estimation, such as in [13, 14], but it can also be found in multipath interference cancellation [15].
The proposed method is most straightforward and requires neither the use of above assumptions nor any rigorous technique, employed by modern re-sampling theory, for selection of a sample set.
So specifically, q-difference equations have been widely used in mathematical physical problems, for dynamical system and quantum models [19], for q-analogues of mathematical physical problems including heat and wave equations [20], for sampling theory of signal analysis [21, 22].
We also tried to forecast probabilities with other distributions for the recurrence interval (e.g., Weibull and gamma on the large sample theory); however, the probability for some sequences could not be computed normally, due to the difficulties mentioned above.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com