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Change PP plot and continous sample quantile function |
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| Authors: | Emanuel Parzen |
| Institution: | 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. |
| Keywords: | Functional inference Goodness of fit Comparison density Renyi information Quantile data analysis Continuous sample quantiles Maximum spacing parameter estimation Distinct mid-value probability transform Change PP Plot |