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RSizeBiased (version 0.1.0)

Hypothesis Testing Based on R-Size Biased Samples

Description

Provides functions and examples for testing hypothesis about the population mean and variance on samples drawn by r-size biased sampling schemes.

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Install

install.packages('RSizeBiased')

Monthly Downloads

173

Version

0.1.0

License

GPL (>= 2)

Maintainer

Dimitrios Bagkavos

Last Published

March 29th, 2021

Functions in RSizeBiased (0.1.0)

T1T2.Mean.Var

Test statistic \(T_{n,r}^1\) or \(T_{n,r}^2\) depending on user input.
Size.BiasedMV.Tests

Test statistics.
r_moment_gamma_Weib

\(r-\)th moment of the gamma or the Weibull distribution.
Cond.KL.Weib.Gamma

Kullback-Leibler divergence between the (parametrized with respect to shape and mean or variance) of the Weibull or gamma distribution and its (assumed) maximum likelihood estimates.
p_rsize_Weibull

Weibull size biased c.d.f. of order \(r\).
r_rsize_Weibull

Weibull size biased random number generation of order \(r\) (modified).
d_rsize_Weibull

Weibull size biased distribution of order \(r\).
s11.s22

Variance estimates for test statistics \(\zeta_{n,r}^i, i=1,2\) specifically for the Weibull and gamma distributions.
log_Lik_Weib_gamma_weighted

Log likelihood function for the weighted gamma or Weibull distributions.
zeta_plug_in

\(\zeta_{n,r}^i, i=1,2\) test statistic for the Weibull or the gamma distribution (depending on user input.
ufc

Upper Flat Creek forest cruise tree data