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For example, in the estimation of dog genome, it can estimate the global parameters, such as neutral mutation rate and repeat content. [3] GSS is also an effective way to large-scale and rapidly characterizing genomes of related species where there is only little gene sequences or maps. [4]
Microsoft Excel is a spreadsheet editor developed by Microsoft for Windows, macOS, Android, iOS and iPadOS.It features calculation or computation capabilities, graphing tools, pivot tables, and a macro programming language called Visual Basic for Applications (VBA).
GSS (Graph Style Sheets) in mathematics and computing, is an RDF (Resource Description Framework) vocabulary for representation of data in a model of labeled directed graph. [1] Using it will make a relatively complex data resource modeled in RDF , much easier to understand by declaring simple styling and visibility instructions to be applied ...
Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. [1]
Recurrence quantification analysis (RQA) is a method of nonlinear data analysis (cf. chaos theory) for the investigation of dynamical systems. It quantifies the number and duration of recurrences of a dynamical system presented by its phase space trajectory.
The online GSS Data Explorer [5] allows users to download GSS data that can be imported to statistical programs (e.g., R/SAS/SPSS/Stata). It also allows searching for information about GSS questions, variables, and publications, testing hypotheses, as well as conducting basic analyses.
In policy analysis, forecasting future production of biofuels is key data for making better decisions, and statistical time series models have recently been developed to forecast renewable energy sources, and a multiplicative decomposition method was designed to forecast future production of biohydrogen. The optimum length of the moving average ...
96% confidence bands around a local polynomial fit to botanical data. A confidence band is used in statistical analysis to represent the uncertainty in an estimate of a curve or function based on limited or noisy data. Similarly, a prediction band is used to represent the uncertainty about the value of a new data-point on the curve, but subject ...
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