quantile function造句

Quantile regression is desired if conditional quantile functions are of interest.
It is the reciprocal of the pdf composed with the quantile function.
Statistical applications of quantile functions are discussed extensively by Gilchrist.
#Continuous probability distribution, with finite support, and closed-form quantile function
The cumulative distribution function is computed by numerically inverting the quantile function given above.
It's difficult to find quantile function in a sentence. 用quantile function造句挺难的

The quantile function can be expressed in a closed-form expressions using the Lambert W function:
Quantile functions may also be characterized as solutions of non-linear ordinary and partial differential equations.
The derivative of the quantile function, namely the quantile density function, is yet another way of prescribing a probability distribution.
Before the popularization of computers, it was not uncommon for books to have appendices with statistical tables sampling the quantile function.
A sample from a given distribution may be obtained in principle by applying its quantile function to a sample from a uniform distribution.
Monte-Carlo simulations employ quantile functions to produce non-uniform random or pseudorandom numbers for use in diverse types of simulation calculations.
In fact, the logit is the quantile function of the logistic distribution, while the probit is the quantile function of the normal distribution.
In fact, the logit is the quantile function of the logistic distribution, while the probit is the quantile function of the normal distribution.
Rather, it is a discrete form of a quantile function ( inverse cumulative distribution ) in reverse order, giving the size of the element at a given rank.
For random censoring on the response variables, the censored quantile regression of Portnoy ( 2003 ) provides consistent estimates of all identifiable quantile functions based on reweighting each censored point appropriately.

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