Population_Data

<p>This data set contains the proportion of inhabitants living within a 200 kilometer wide costal strip in 232 countries in the year 2010.
In Example 3.3 of Dimitrova, Kaishev, Tan (2017), the data set is modelled using a zero-and-one-inflated beta distribution in the null hypothesis and a one-sample two-sided Kolmogorov-Smirnov test is performed to test whether the proposed distribution fits the data well enough.</p>

datasets

Computes a p-value of the one-sample two-sided (or one-sided, as a special case) Kolmogorov-Smirnov (KS) statistic, for any fixed critical level, and an arbitrary, possibly large sample size for a pre-specified purely discrete, mixed or continuous cumulative distribution function (cdf) under the null hypothesis. If a data sample is supplied, 'KSgeneral' computes the p-value corresponding to the value of the KS test statistic computed based on the user provided data sample. The package 'KSgeneral' implements a novel, accurate and efficient method named Exact-KS-FFT, expressing the p-value as a double-boundary non-crossing probability for a homogeneous Poisson process, which is then efficiently computed using Fast Fourier Transform (FFT). The package can also be used to compute and plot the complementary cdf of the KS statistic which is known to depend on the hypothesized distribution when the latter is discontinuous (i.e. purely discrete or mixed).

Senren Tan

KSgeneral

Computing P-Values of the K-S Test for (Dis)Continuous Null
Distribution

Population_Data function

<p>A data frame with 232 observations on the proportion of inhabitants living within a 200 kilometer wide costal strip in 2010.</p>

Population_Data: The proportion of inhabitants living within a 200 kilometer wide costal strip in 232 countries in the year 2010

Description

Usage

Arguments

Format

References