Change PP plot and continous sample quantile function
Authors:
Emanuel Parzen
Affiliation:
1. Texas A&2. M University , College Station, Texas, 77843
Abstract:
Functional inference recommends data analysis of a sample of n observations by functional and graphical representations of its probability models using various functions on 0 < u < 1, including the quantile function. This paper discusses: charge PP plots and a continuous version of the sample quantile function which use the mid-distinct value probability integral transform; comparison density functions; comparison interpretation of probability integral transform; maximum spacings method of one sample parameter estimation.