Search results for "Statistik"

showing 10 items of 189 documents

Russische Statistik

1812

Ekonomiskā ģeogrāfijaStatistikRussland - Statistik:SOCIAL SCIENCES::Business and economics::Human geography economic geography [Research Subject Categories]StatistikaWirtschaftsgeographieKrievija - statistikaRokrakstu kolekcija
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Radiācijas defektu EPR fluorīdu kristālos un oksifluorīdu stikla keramikā

2008

Elektroniskā versija nesatur pielikumus

Electron paramagnetic resonance spectroscopy techniquesElektronu paramagnētiskās rezonanses spektroskopijas metodeStructure of radiation induced defectsFizika un astronomijaFizika materiālzinātne matemātika un statistikaFizikaRadiācijas defektu struktūra
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Accessing sub-national cholera epidemiological data for Nigeria and the Democratic Republic of Congo during the seventh pandemic.

2022

Abstract Background Vibrio cholerae is a water-borne pathogen with a global burden estimate at 1.4 to 4.0 million annual cases. Over 94% of these cases are reported in Africa and more research is needed to understand cholera dynamics in the region. Cholera data are lacking, mainly due to reporting issues, creating barriers for widespread research on cholera epidemiology and management in Africa. Main body Here, we present datasets that were created to help address this gap, collating freely available sub-national cholera data for Nigeria and the Democratic Republic of Congo. The data were collated from a variety of English and French publicly available sources, including the World Health Or…

EpidemiologyVDP::Medisinske Fag: 700::Helsefag: 800::Epidemiologi medisinsk og odontologisk statistikk: 803Nigeria1103 Clinical SciencesDemocratic Republic of CongoMicrobiologyUnited StatesInfectious DiseasesCholera1108 Medical MicrobiologyDemocratic Republic of the CongoHumansVDP::Medisinske Fag: 700Public HealthPandemicsVibrio cholerae0605 MicrobiologyBMC infectious diseases
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Volatility transmission patterns and terrorist attacks

2009

The objective of this study is to analyze volatility transmission between the US and Eurozone stock markets considering the effects of the September 11, March 11 and July 7 financial crises. In order to do this, we use a multivariate GARCH model and take into account the asymmetric volatility phenomenon, the non-synchronous trading problem and the crises themselves. Moreover, a graphical analysis of the Asymmetric Volatility Impulse-Response Functions (AVIRF) is introduced, which takes into consideration the crisis effect. Results suggest that there is bidirectional and asymmetric volatility transmission and show the different impact that terrorist attacks had on both markets. El objetivo d…

Estadística matemàticaTheorieanwendungtransmissions de volatilitatFinancial economicsEconomicsAutoregressive conditional heteroskedasticitymercados financieros internacionalesMercados financieros internacionales; Crisis financieras; GARCH multivariante; Transmisión de volatilidad. International financial markets; Stock market crisis; Multivariate GARCH; Volatility spillovers.theory applicationMultivariate garch modelOrder (exchange)Volatility swapFinances internacionalsEconomicsEconometricsddc:330multivariate GARCHcrisis del mercado de valorescrisi del mercat de valorsRisk managementInternational financeStock (geology)Economic Statistics Econometrics Business InformaticsMercat Investigacióvolatility spilloversmercats financers internacionalsbusiness.industryinternational financial marketsFinancial marketWirtschaftstock market crisisjel:C32jel:F30Political EconomyMathematical statisticsjel:G15Estadística matemáticaVolatility Modelling Multivariate Volatility GARCH models International Finance International Asset Pricing Risk ManagementVolkswirtschaftslehreTerrorismWirtschaftsstatistik Ökonometrie WirtschaftsinformatikGraphical analysisVolatility (finance)businessVolatility transmissionGeneral Economics Econometrics and FinanceFinancederrames de volatilidad
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ISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19

2022

The International Severe Acute Respiratory and Emerging Infection Consortium (ISARIC) COVID-19 dataset is one of the largest international databases of prospectively collected clinical data on people hospitalized with COVID-19. This dataset was compiled during the COVID-19 pandemic by a network of hospitals that collect data using the ISARIC-World Health Organization Clinical Characterization Protocol and data tools. The database includes data from more than 705,000 patients, collected in more than 60 countries and 1,500 centres worldwide. Patient data are available from acute hospital admissions with COVID-19 and outpatient follow-ups. The data include signs and symptoms, pre-existing como…

EğitimSocial Sciences and HumanitiesInformation Security and ReliabilitySocial Sciences (SOC)Sosyal Bilimler ve Beşeri BilimlerEpidemiologyEDUCATION & EDUCATIONAL RESEARCHTemel Bilimler (SCI)BİLGİSAYAR BİLİMİ BİLGİ SİSTEMLERİMATHEMATICSSociology[SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseasesProspective StudiesCOMPUTER SCIENCE INFORMATION SYSTEMSSTATISTICS & PROBABILITYMatematikBilgisayar Bilimi UygulamalarıComputer SciencesBilgi Güvenliği ve GüvenilirliğiEĞİTİM VE EĞİTİM ARAŞTIRMASIBİLGİ BİLİMİ VE KÜTÜPHANE BİLİMİBilgi sistemiComputer Science ApplicationsKütüphane ve Bilgi BilimleriHospitalizationNatural Sciences (SCI)Physical SciencesEngineering and TechnologySosyal Bilimler (SOC)Bilgisayar BilimiStatistics Probability and UncertaintyInformation SystemsHumanStatistics and ProbabilityHumans; Pandemics; Prospective Studies; SARS-CoV-2; COVID-19; HospitalizationSOCIAL SCIENCES GENERALLibrary and Information SciencesEducationSDG 3 - Good Health and Well-beingLibrary SciencesINFORMATION SCIENCE & LIBRARY SCIENCEİstatistik ve OlasılıkHumansSosyal ve Beşeri BilimlerBilgisayar BilimleriSocial Sciences & HumanitiesEngineering Computing & Technology (ENG)SosyolojiPandemicsPandemicSARS-CoV-2İSTATİSTİK & OLASILIKCOVID-19Mühendislik Bilişim ve Teknoloji (ENG)İstatistik Olasılık ve BelirsizlikSosyal Bilimler GenelCOMPUTER SCIENCEProspective StudieFizik BilimleriViral infectionMühendislik ve TeknolojiKütüphanecilik
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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
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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
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Acu kinemātikas mērījumi kognitīvo procesu raksturošanai

2008

Elektroniskā versija nesatur pielikumus

Fizika un astronomijaFizika materiālzinātne matemātika un statistikaFizika
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Turbulences raksturlielumu un daļiņu pārneses modelēšana recirkulatīvās plūsmās

2009

Turbulences raksturlielumu un daļiņu pārneses modelēšana recirkulatīvās plūsmās M. Kirpo Promocijas darba vadītājs: Dr. Phys. A. Jakovičs Anotācija Šis darbs ir veltīts turbulentās plūsmas īpašību un daļiņu dinamikas pētīšanai EM un gravitācijas spēku ietekmē indukcijas tīģeļa krāsnīs un kanālkrāsnīs. Attīstītā turbulentā plūsma ($\mathrm{Re} > 10^4$) šajās krāsnīs parasti tiek formēta ar diviem vai vairākiem vidējotiem recirkulatīviem virpuļiem un siltuma un vielas apmaiņa šādās plūsmās ir ļoti svarīga tehnoloģiskos procesos. Šis darbs izmanto pieejamus eksperimentālus rezultātus par Vuda metāla plūsmu indukcijas tīģeļkrāsnīs un kanālkrāsnīs, lai uzbūvētu un noverificētu 3D lielo virpuļu m…

Fizika un astronomijaFizika materiālzinātne matemātika un statistikaFizika
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Vien-dimensionāla Ridberga atoma mijiedarbība ar pusperioda impulsiem

2008

Elektroniskā versija nesatur pielikumus

Fizika un astronomijaFizika materiālzinātne matemātika un statistikaFizika
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