sample.moments

moments

Makes univariate, multivariate, or random fields simulations precise and simple. Just select the desired time series or random fields’ properties and it will do the rest. CoSMoS is based on the framework described in Papalexiou (2018, <doi:10.1016/j.advwatres.2018.02.013>), extended for random fields in Papalexiou and Serinaldi (2020, <doi:10.1029/2019WR026331>), and further advanced in Papalexiou et al. (2021, <doi:10.1029/2020WR029466>) to allow fine-scale space-time simulation of storms (or even cyclone-mimicking fields).

Kevin Shook

CoSMoS

Complete Stochastic Modelling Solution

Simon Michael Papalexiou

Francesco Serinaldi

Filip Strnad

Yannis Markonis

sample.moments function

<dl><dt>x</dt>
<dd>a numeric vector of values</dd>
<dt>na.rm</dt>
<dd>a logical value indicating whether NA values should be stripped before the computation proceeds</dd>
<dt>raw</dt>
<dd>logical - calculate raw moments?</dd>
<dt>central</dt>
<dd>logical - calculate central moments?</dd>
<dt>coef</dt>
<dd>logical - calculate coefficients (coefficient of variation, skewness and kurtosis)?</dd>
<dt>order</dt>
<dd>vector of integers - raw moment orders</dd></dl>

Arguments

Estimation of sample moments — sample.moments

<dl>

<dt>x</dt>
<dd>a numeric vector of values</dd>


<dt>na.rm</dt>
<dd>a logical value indicating whether NA values should be stripped before the computation proceeds</dd>


<dt>raw</dt>
<dd>logical - calculate raw moments?</dd>


<dt>central</dt>
<dd>logical - calculate central moments?</dd>


<dt>coef</dt>
<dd>logical - calculate coefficients (coefficient of variation, skewness and kurtosis)?</dd>


<dt>order</dt>
<dd>vector of integers - raw moment orders</dd>

</dl>

Estimation of sample moments

sample.moments: Estimation of sample moments

Description

Usage

Arguments

Examples