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Multivariate Analysis of Mixed Data: The R Package PCAmixdata [PDF]
, 2017 Mixed data arise when observations are described by a mixture of numerical and categorical variables. The R package PCAmixdata extends standard multivariate analysis methods to incorporate this type of data.
Chavent, Marie +3 more
core +5 more sources
Multivariate Generalized Multiscale Entropy Analysis
Entropy, 2016 Multiscale entropy (MSE) was introduced in the 2000s to quantify systems’ complexity. MSE relies on (i) a coarse-graining procedure to derive a set of time series representing the system dynamics on different time scales; (ii) the computation of the ...
Anne Humeau-Heurtier
doaj +1 more source
Multivariate sequential analysis with linear boundaries
, 2006 Let $\{S_n=(X_n,W_n)\}_{n\ge0}$ be a random walk with $X_n\in \mathbb{R}$ and $W_n\in \mathbb{R}^m$. Let $\tau=\tau_a=\inf\{n:X_n>a\}$. The main results presented are two term asymptotic expansions for the joint distribution of $S_{\tau}$ and $\tau$ and ...
Keener, Robert
core +2 more sources
Regionalization of landscape pattern indices using multivariate cluster analysis [PDF]
, 2014 This project was funded by the Government of Canada through the Mountain Pine Beetle Program, a six-year, $40 million program administered by Natural Resources Canada, Canadian Forest Service.
Long, Jed Andrew +2 more
core +1 more source
Multivariate data analysis: The French way
, 2008 This paper presents exploratory techniques for multivariate data, many of them well known to French statisticians and ecologists, but few well understood in North American culture.
Holmes, Susan
core +1 more source
COSIMA data analysis using multivariate techniques [PDF]
Geoscientific Instrumentation, Methods and Data Systems, 2015 We describe how to use multivariate analysis of complex TOF-SIMS (time-of-flight secondary ion mass spectrometry) spectra by introducing the method of random projections.
J. Silén +6 more
doaj +1 more source
Gravitational-Wave Detection using Multivariate Analysis
, 2013 Searches for gravitational-wave bursts (transient signals, typically of unknown waveform) require identification of weak signals in background detector noise. The sensitivity of such searches is often critically limited by non-Gaussian noise fluctuations
Adams, Thomas S. +5 more
core +1 more source
A spatial analysis of multivariate output from regional climate models [PDF]
, 2011 Climate models have become an important tool in the study of climate and climate change, and ensemble experiments consisting of multiple climate-model runs are used in studying and quantifying the uncertainty in climate-model output.
Cressie, Noel +2 more
core +3 more sources
Dietary Protein Intake and Peritoneal Protein Losses in Peritoneal Dialysis Patients
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction Peritoneal dialysis (PD) patients lose protein in their waste dialysate, potentially increasing their risk for malnutrition. We wished to determine whether there was any association between losses and dietary protein intake (DPI). Methods DPI was assessed from 24‐h dietary recall using Nutrics software.
Haalah Shaaker, Andrew Davenport
wiley +1 more source
Multivariate groundwater drought analysis using copulas
Hydrology Research, 2020 Drought characteristics are among major inputs in the planning and management of water resources. Although numerous studies on probabilistic aspects of meteorological drought characteristics and their joint distribution functions have been reported ...
Bahram Saghafian, Hamid Sanginabadi
doaj +1 more source