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Topics in Modelling of Clustered Data

Many methods for analyzing clustered data exist, all with advantages and limitations in particular applications. Compiled from the;

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Topics in Modelling of Clustered Data

Many methods for analyzing clustered data exist, all with advantages and limitations in particular applications. Compiled from the;

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Mixture Modelling for Medical and Health Sciences

& Mathematical Sciences at the Nanyang Technological University, Singapore. Her research interests include survival analysis, longitudinalclustered data;

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Mixture Modelling for Medical and Health Sciences

, Singapore. Her research interests include survival analysis, longitudinalclustered data analysis and mixture models. Kelvin Kai-wing Yau;

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Frailty Model

Readers will find in the pages of this book a treatment of the statistical analysis of clustered survival data. Such data are encountered;

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Statistical Modelling of Complex Correlated and Clustered Data Household Surveys in Africa Research Methodology and Data Analysis

clustered data. Each chapter presents an example code, which can be used to analyze similar data in R, Stata or SPSS. To make the book more concise;

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Uncertainty Modelling and Quality Control for Spatial Data

Quality Control for Spatial Data introduces methods for managing uncertainties-such as data of questionable quality-in geographic information;

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Uncertainty Modelling and Quality Control for Spatial Data

Quality Control for Spatial Data introduces methods for managing uncertainties-such as data of questionable quality-in geographic information;

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Case Method

Now data analysts, strategists and data administrators can learn the powerful technique of entity relationship modelling from this;

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Modelling Survival Data in Medical Research

Modelling Survival Data in Medical Research describes the modelling approach to the analysis of survival data using a wide range;

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The Advanced Measurement Approach to Operational Risk

guidance on how best to achieve the goals of an op risk programme. It covers areas, such as data selection, granularity, correlation, and;

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Fundamentals of Clinical Data Science

This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical;

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Contaminant Transport in Groundwater

& data processing; Field studies & tracer experiments; Contaminant chemistry & column experiments; Modelling of chemistry coupled to transport;

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Transactions on Large Scale Data and Knowledge Centered Systems XXXVII

This, the 37th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains five revised selected regular papers;

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Statistical Modelling of Survival Data with Random Effects

presented in the book overcomes shortcomings in the traditional likelihood-based methods for clustered survival data such as intractable integration;

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Sample Size Calculations for Clustered and Longitudinal Outcomes in Clinical Research

study. Sample Size Calculations for Clustered and Longitudinal Outcomes in Clinical Research explains how to determine sample size for;

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Sample Size Calculations for Clustered and Longitudinal Outcomes in Clinical Research

study. Sample Size Calculations for Clustered and Longitudinal Outcomes in Clinical Research explains how to determine sample size for;

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Contested Knowledge

current shift of 'universalist theorists' to networks of clustered debates. * Responds to current issues, debates, and new social movements;

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Intelligent Data Engineering and Automated Learning - IDEAL 2017

This book constitutes the refereed proceedings of the 18th International Conference on Intelligent Data Engineering and Automated Learning;

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Data Modeling

Includes a review of the literature on data modelling and logical database design, referencing nearly 500 publications, with a focus on;

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Data, Models and Analysis

of peatland hydraulic processes for climate models. Data rehabilitation and compilation in order to support trend analysis work on comprehensive;

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Econometrics

spillovers; econometric modelling of time to event data; regression and data envelopment analysis methods to assess practice efficiency and;

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Statistical Modelling with Quantile Functions

Galton used quantiles more than a hundred years ago in describing data. Tukey and Parzen used them in the 60s and 70s in describing;

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Statistical Modelling with Quantile Functions

Galton used quantiles more than a hundred years ago in describing data. Tukey and Parzen used them in the 60s and 70s in describing;

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Experimental Evidence and Theoretical Approaches in Unsaturated Soils

: innovative experimental techniques; new experimental data on compacted, collapsible and swelling soils; and advances in constitutive modelling.;

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High-Performance Modelling and Simulation for Big Data Applications

This open access book was prepared as a Final Publication of the COST Action IC1406 High-Performance Modelling and Simulation for Big Data;

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Statistics in Industry

of industrial process monitoring, industrial experimentation, industrial modelling and data analysis are covered and are authored by leading researchers;

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