Search results for "lcsh:HA1-4737"

showing 10 items of 22 documents

bookdown: Authoring Books and Technical Documents with R Markdown

2018

0301 basic medicineStatistics and Probabilitybusiness.industry030232 urology & nephrologycomputer.software_genreTechnical documentationWorld Wide Web03 medical and health sciences030104 developmental biology0302 clinical medicineMedicineStatistics Probability and Uncertaintybusinesslcsh:Statisticslcsh:HA1-4737computerSoftwareMarkdownJournal of Statistical Software
researchProduct

Mixture Hidden Markov Models for Sequence Data: The seqHMM Package in R

2019

Sequence analysis is being more and more widely used for the analysis of social sequences and other multivariate categorical time series data. However, it is often complex to describe, visualize, and compare large sequence data, especially when there are multiple parallel sequences per subject. Hidden (latent) Markov models (HMMs) are able to detect underlying latent structures and they can be used in various longitudinal settings: to account for measurement error, to detect unobservable states, or to compress information across several types of observations. Extending to mixture hidden Markov models (MHMMs) allows clustering data into homogeneous subsets, with or without external covariate…

FOS: Computer and information sciencesStatistics and ProbabilityMultivariate statisticssequence analysisaikasarjatComputer sciencerMarkov modelStatistics - ComputationStatistics - Applications01 natural sciencesUnobservablecategorical time seriesR-kieli010104 statistics & probabilitymulti-channel sequences; categorical time series; visualizing sequence data; visualizing models; latent Markov models; latent class models; RCovariateApplications (stat.AP)Sannolikhetsteori och statistikComputer software0101 mathematicsTime seriesProbability Theory and StatisticsHidden Markov modelCluster analysislcsh:Statisticslcsh:HA1-4737Categorical variableComputation (stat.CO)ta112business.industryvisualizing sequence dataR (programming languages)Pattern recognitionmulti-channel sequencesvisualizing modelslatent class modelssekvenssianalyysiArtificial intelligencelatent markov modelstime seriesStatistics Probability and UncertaintybusinessSoftwareJournal of Statistical Software
researchProduct

KFAS : Exponential Family State Space Models in R

2017

State space modelling is an efficient and flexible method for statistical inference of a broad class of time series and other data. This paper describes an R package KFAS for state space modelling with the observations from an exponential family, namely Gaussian, Poisson, binomial, negative binomial and gamma distributions. After introducing the basic theory behind Gaussian and non-Gaussian state space models, an illustrative example of Poisson time series forecasting is provided. Finally, a comparison to alternative R packages suitable for non-Gaussian time series modelling is presented.

FOS: Computer and information sciencesStatistics and ProbabilityaikasarjatGaussianNegative binomial distributionforecastingPoisson distribution01 natural sciencesStatistics - ComputationMethodology (stat.ME)010104 statistics & probability03 medical and health sciencessymbols.namesake0302 clinical medicineExponential familyexponential familyGamma distributionStatistical inferenceState spaceApplied mathematicsSannolikhetsteori och statistik030212 general & internal medicine0101 mathematicsProbability Theory and Statisticslcsh:Statisticslcsh:HA1-4737Computation (stat.CO)Statistics - MethodologyMathematicsR; exponential family; state space models; time series; forecasting; dynamic linear modelsta112state space modelsSeries (mathematics)RStatistics; Computer softwaresymbolsStatistics Probability and Uncertaintytime seriesSoftwaredynamic linear models
researchProduct

Graphical User Interfaces for R

2012

Since R was first launched, it has managed to gain the support of an ever-increasing percentage of academic and professional statisticians. However, the spread of its use among novice and occasional users of statistics have not progressed at the same pace, which can be attributed partially to the lack of a graphical user interface (GUI). Nevertheless, this situation has changed in the last years and there is currently several projects that have added GUIs to R. This article discusses briefly the history of GUIs for data analysis and then introduces the papers submitted to an special issue of the Journal of Statistical Software on GUIs for R.

GUIRstatistical softwarelcsh:Statisticslcsh:HA1-4737Journal of Statistical Software
researchProduct

The Effect of Education on Under-Five Mortality: Individual and Community-Level Effects in Bangladesh

2019

This paper investigates the relationship between parental education and child survival, considering both the influence of the maternal and paternal educational level and the influence of communitylevel male and female education on under-five mortality. The research is focused on Bangladesh, a country where the impressive decline in the under-five mortality rate between 1990 and 2015 was attributed both to female empowerment and to the increase in the general level of education in the country. Using the Bangladesh Demographic and Health Survey from 2014, this paper investigates both the effect of individual-level parental education and of community-level education on under-five mortality, th…

Parental educationParental education; Under-five mortality; Multilevel model; Contextual effectparental education010102 general mathematicsUnder-five mortalityMultilevel modelSettore SECS-S/04 - Demografia01 natural sciencesunder-five mortalitymultilevel model03 medical and health sciences0302 clinical medicineContextual effect030212 general & internal medicine0101 mathematicscontextual effectlcsh:Statisticslcsh:HA1-4737Parental education Under-five mortality Multilevel model Contextual effect
researchProduct

Some issues concerning the statistical evaluation of a screening test: the ARFI ultrasound case

2013

In this paper we analyze some issues concerning the statistical evaluation of a screening test for classification. The case study is ARFI, an ultrasound device recently introduced, and used for the evaluation of liver fibrosis. First, we present a simple statistical evaluation based on a novel index that compare two competitors with respect to a gold standard, and then we propose a procedure that determines a table with the “acceptable” number of measurements to get an “accurate” diagnosis using the ARFI device.

Screening tests comparisonlcsh:Statisticslcsh:HA1-4737
researchProduct

Blind Source Separation Based on Joint Diagonalization in R: The Packages JADE and BSSasymp

2017

Blind source separation (BSS) is a well-known signal processing tool which is used to solve practical data analysis problems in various fields of science. In BSS, we assume that the observed data consists of linear mixtures of latent variables. The mixing system and the distributions of the latent variables are unknown. The aim is to find an estimate of an unmixing matrix which then transforms the observed data back to latent sources. In this paper we present the R packages JADE and BSSasymp. The package JADE offers several BSS methods which are based on joint diagonalization. Package BSSasymp contains functions for computing the asymptotic covariance matrices as well as their data-based es…

Statistics and ProbabilityComputer scienceJADE (programming language)02 engineering and technologyLatent variableMachine learningcomputer.software_genre01 natural sciencesBlind signal separation010104 statistics & probabilityMatrix (mathematics)nonstationary source separationMixing (mathematics)0202 electrical engineering electronic engineering information engineeringsecond order source separation0101 mathematicslcsh:Statisticslcsh:HA1-4737computer.programming_languageta113Signal processingta112matematiikkamultivariate time seriesmathematicsbusiness.industryEstimator020206 networking & telecommunicationsriippumattomien komponenttien analyysiindependent component analysis; multivariate time series; nonstationary source separation; performance indices; second order source separationIndependent component analysisperformance indicesstatisticsindependent component analysisArtificial intelligenceStatistics Probability and UncertaintybusinesscomputerAlgorithmSoftwareJournal of Statistical Software
researchProduct

Anthropometry: An R Package for Analysis of Anthropometric Data

2017

The development of powerful new 3D scanning techniques has enabled the generation of large up-to-date anthropometric databases which provide highly valued data to improve the ergonomic design of products adapted to the user population. As a consequence, Ergonomics and Anthropometry are two increasingly quantitative fields, so advanced statistical methodologies and modern software tools are required to get the maximum benefit from anthropometric data. This paper presents a new R package, called Anthropometry, which is available on the Comprehensive R Archive Network. It brings together some statistical methodologies concerning clustering, statistical shape analysis, statistical archetypal an…

Statistics and ProbabilityComputer sciencePopulationstatistical shape analysis02 engineering and technologycomputer.software_genre01 natural sciences010104 statistics & probabilitySoftware0202 electrical engineering electronic engineering information engineeringR; anthropometric data; clustering; statistical shape analysis; archetypal analysis; data depth0101 mathematicsarchetypal analysisCluster analysiseducationlcsh:Statisticslcsh:HA1-4737education.field_of_studyAnthropometric databusiness.industryStatistical shape analysisRHuman factors and ergonomicsAnthropometryanthropometric dataVignette020201 artificial intelligence & image processingData miningStatistics Probability and Uncertaintydata depthbusinesscomputerSoftwareclusteringJournal of Statistical Software
researchProduct

Recurrence Plots in Nonlinear Time Series Analysis: Free Software

2002

Recurrence plots are graphical devices specially suited to detect hidden dynamical patterns and nonlinearities in data. However, there are few programs available to apply such a mehodology. This paper reviews one of the best free programs to apply nonlinear time series analysis: Visual Recurrence Analysis (VRA). This program is targeted to recurrence analysis and the so-called Recurrence Quantitative Analysis (RQA, the quantitative counterpart of recurrence plots), although it includes many procedures in a friendly visual environment. Comparisons with alternative programs are performed.

Statistics and ProbabilityComputer sciencebusiness.industrycomputer.software_genreNonlinear time series analysisSoftwareQuantitative analysis (finance)StatisticsData miningStatistics Probability and Uncertaintybusinesslcsh:Statisticslcsh:HA1-4737computerSoftwareJournal of Statistical Software
researchProduct

Testing Goodness-of-Fit with the Kernel Density Estimator: GoFKernel

2015

To assess the goodness-of-fit of a sample to a continuous random distribution, the most popular approach has been based on measuring, using either L∞ - or L2 -norms, the distance between the null hypothesis cumulative distribution function and the empirical cumulative distribution function. Indeed, as far as I know, almost all the tests currently available in R related to this issue (ks.test in package stats, ad.test in package ADGofTest, and ad.test, ad2.test, ks.test, v.test and w2.test in package truncgof) use one of these two distances on cumulative distribution functions. This paper (i) proposes dgeometric.test, a new implementation of the test that measures the discrepancy between a s…

Statistics and ProbabilityCumulative distribution functionKernel density estimationProbability density functionKolmogorov–Smirnov testEmpirical distribution functionsymbols.namesakeGoodness of fitStatisticssymbolsStatistics Probability and UncertaintyNull hypothesisRandom variablelcsh:Statisticslcsh:HA1-4737SoftwareMathematicsJournal of Statistical Software
researchProduct