Statistical outputs for the prevalence data
Ensuring the confidentiality of statistical outputs from the ADRN
... administrative data which are combined for specific projects for a defined period of ...domain. Statistical analyses on the data do not generally, of themselves, produce any disclosure risk, but ...
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Statistical Downscaling of Climate Model Outputs for Hydrological Extremes
... 146 being well-established, these approaches may not be suitable for studying changes in rainfall extremes. In a changing climate, the assumption of identical distributions for the current and future rainfall extremes ...
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RESEARCH DATA ALLIANCE OUTPUTS
... Numerous systems and providers to register and resolve Persistent Identifiers (PIDs) for Digital Objects and other entities have been designed in the past and are used today. However, almost all of them differ in the way ...
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Watermarking the Outputs of Structured Prediction with an application in Statistical Machine Translation
... structured outputs and apply it to the outputs of a statistical machine translation system with the goal of identifying these same outputs on the ...
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Utilizing Healthcare Developments, Demographic Data with Statistical Techniques to Estimate the Diarrhoea Prevalence in India
... the prevalence; mapping of locations and characterization of the meas- ures that may demonstrate co-occurring patterns with diarrheal incidents annually thereby elucidating present and impending disease paradigm ...
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Classifying inputs and outputs in interval data envelopment analysis
... [0.0009, 0.0010] 1 1 [0.0009, 0.0010] 6- Conclusions One assumption of traditional DEA models is that any performance measure is specified as an input or output. In the measurement of the real world performance, there ...
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Plug In Generator To Produce Variant Outputs For Unique Data.
... the data in the questionnaire form ...said data transformed into web can be considered as an offline browsing system which can be used by any educated personalities, to generally know what is happening and ...
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Statistical Downscaling of General Circulation Model Outputs to Precipitation - part 1: calibration and validation
... GCM outputs, which does not have the above ...past statistical down- scaling studies and ...reanalysis outputs were introduced to the MLR based downscaling model, sequentially, based on the magnitude ...
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Climate change scenarios generated by using GCM outputs and statistical downscaling in an arid region
... Selection of predictor variables should be given high consideration in statistical downscaling methods. Circulation variables, which are well simulated by GCMs, are usually selected as candidate predictors for ...
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Statistical downscaling of general circulation model outputs to precipitation—part 1: calibration and validation
... reanalysis outputs and the second with the corresponding 20th century climate experiment outputs of the ...reanalysis outputs and the other with GCM outputs, enabled the determination of how ...
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Statistical Data Analysis
... Because of Henry VII’s fear of the plague, England began to register its dead in 1532. About this same time, French law required the clergy to register baptisms, deaths and marriages. During an outbreak of the plague in ...
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Statistical clustering of data
... Upper left: Change of BIC from for the 10 available model parameterizations as the increase of the number of clusters up to 9. Different symbols and line types indicate different model parameterizations. The best model ...
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Statistical methods in the meta-analysis of prevalence of human diseases
... The inverse variance method works fine for the prevalence proportions around 0.5. However, it arise problems when the proportions get closer to 0 or 1. For example, when the proportion becomes small or big, the ...
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THE STATISTICAL DATA WAREHOUSE: A CENTRAL DATA HUB, INTEGRATING NEW DATA SOURCES AND STATISTICAL OUTPUT
... the data warehouse is a concept that intends to provide an architectural model for the dataflow from operational systems to decision support systems; in our specific case, the S-DWH, from data collection ...
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Statistical inference in efficient production with bad inputs and outputs using latent prices and optimal directions
... presence of endogenous inputs using panel data. Both papers estimate a single-output Cobb-Douglas production function with a two-component random error term. The first component is firm- and time-varying ...
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Regional Statistical Yearbooks - Regional and Municipal Statistical Data
... The publications include more than 240 tables, organized in four chapters – Territory , People , Economic Activity and State – which are, in turn, analysed in 27 sections on different thematic areas. Each section begins ...
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Statistical description for survival data
... in data management and statistical analysis by using R and STATA, big data exploration, systematic review and ...Abstract: Statistical description is always the first step in data ...
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A Statistical Perspective on Data Mining
... Good, 1979; Hartigan, 1975, 1985; Mojena and Wishart, 1980; Murtagh, 1985; Ramey, 1985; Ripley, 1991; Symons, 1981; Van Ryzin, 1977). Broadly, clustering algorithms can be divided into two kinds: hierarchical clustering ...
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Statistical Data Management. Description
... All data are automatically validated and checked for ...upgraded data transformation tools to calculate a variety of derived indicators in real time for publication ...user-friendly data ...
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STATISTICAL METHODS FOR DATA MINING
... example, data on food store baskets, available for the last four years, where the goal is to develop a prediction ...the data, then testing the model on the training sample, with the results guiding us as ...
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