Examples of 'quantile' in a sentence
Meaning of "quantile"
quantile (adjective): Relating to a specific point or value in a distribution of data, often used in statistics to denote a particular percentile or division of a dataset
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- One of the class of values of a variate which divides the members of a batch or sample into equal-sized subgroups of adjacent values or a probability distribution into distributions of equal probability.
How to use "quantile" in a sentence
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quantile
Extreme quantile estimation is a two step approach.
Inverse CDFs are also called quantile functions.
Quantile classification is ideal for ordinal data.
Distributional analysis and quantile treatment effects.
The quantity is called the th regression quantile.
Quantile normalization is frequently used in microarray data analysis.
Another way to express the quantile function is.
On quantile quantile plots for generalized linear models.
And look for the quantile at position pos.
Quantile regressions can eventually be used in stress situations.
Growth at risk and quantile regressions.
Quantile in the distribution of the resistance.
By determining the quantile z such that.
Quantile normalisation was done for each type of array separately.
The data were standardised per quantile.
See also
See also quantile normalization.
Empirically this is done with the use of quantile regressions.
Quantile from the complement.
We further estimate the relationship using quantile regression.
The probit is the quantile function of the normal distribution.
It weights underestimation and overestimation according to a specific quantile.
Fractile quantile of a probability distribution.
The inverse of the cdf is called the quantile function.
For a given quantile the coefficients and are the solution to.
The intuition is the same as for the population quantile.
A new unconditional extreme quantile estimator is introduced and studied.
The quantile of the standard normal distribution is commonly denoted as zp.
The differences correspond to the coefficients produced by quantile regression.
Quantile regression is a type of regression analysis used in statistics and econometrics.
Signal intensities were quantile normalized.
A short note on quantile and expectile estimation in unequal probability samples.
In some cases portions are selected within a quantile of the distribution.
Is the quantile of order p.
The probe expression data were normalized using quantile normalization.
Normal quantile plot.
Quantile power series.
A quartile is a type of quantile.
Arrays were then quantile normalized and background was subtracted from expression values.
It is the reciprocal of the pdf composed with the quantile function.
Classical models of panel data and quantile regressions with fixed effects were used.
The collected data was analyzed through multiple regression and quantile regression.
The quantile forecasting viewpoint offers a direct statistical calculation for the reorder points.
We thus propose to address this question in a regularized quantile regression framework.
Statistical applications of quantile functions are discussed extensively by Gilchrist.
We fit the tail of the conditional distribution using nonlinear quantile regression.
Where Zreq is the quantile of the normal distribution for alpha.
A response by quantile.
Other algorithms to evaluate quantile functions are given in the Numerical Recipes series of books.
The trick is that target inventory levels by themselves represent implicit quantile demand forecasts.
Quantile function and generating Gumbel variates.
