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Analyzing Time Interval Data

Philipp Meisen introduces a model, a query language, and a similarity measure enabling users to analyze time interval data. The introduced;

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Interval-Censored Time-to-Event Data

Interval-Censored Time-to-Event Data: Methods and Applications collects the most recent techniques, models, and computational tools for;

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Multi-State Survival Models for Interval-Censored Data

Multi-State Survival Models for Interval-Censored Data introduces methods to describe stochastic processes that consist of transitions;

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Multi-State Survival Models for Interval-Censored Data

Multi-State Survival Models for Interval-Censored Data introduces methods to describe stochastic processes that consist of transitions;

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Survival Analysis in Medicine and Genetics

Using real data sets throughout, Survival Analysis in Medicine and Genetics introduces the latest methods for analyzing high-dimensional;

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Survival Analysis in Medicine and Genetics

Using real data sets throughout, Survival Analysis in Medicine and Genetics introduces the latest methods for analyzing high-dimensional;

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Survival Analysis with Interval-Censored Data

Survival Analysis with Interval-Censored Data: A Practical Approach with Examples in R, SAS, and BUGS provides the reader with a practical;

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Survival Analysis with Interval-Censored Data

Survival Analysis with Interval-Censored Data: A Practical Approach with Examples in R, SAS, and BUGS provides the reader with a practical;

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Duration Calculus

A comprehensive introduction to interval logic and duration calculus for modelling, analysing and verifying real-time systems. The Duration;

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Clustering Methodology for Symbolic Data

ready for analysis. * Features very large contemporary datasets such as time series, interval-valued data and histogram-valued data * Considers;

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Introduction To Time Series Analysis And Forecasting

-section and time series regression data, least squares and maximum likelihood model fitting, model adequacy checking, prediction intervals, and;

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Interval Methods for Solving Nonlinear Constraint Satisfaction, Optimization and Similar Problems

sample implementations of the interval data type in several programming languages, round out the coverage.;

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Ecg In The Child And Adolescent

Compiled from electrocardiographic data on more than 1,800 normal newborns, infants, children, and adolescents, this convenient reference;

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Analyzing Ecological Data

This book provides a practical introduction to analyzing ecological data using real data sets. The first part gives a largely non;

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Analyzing Ecological Data

This book provides a practical introduction to analyzing ecological data using real data sets. The first part gives a largely non;

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Real-Time Analytics

Construct a robust end-to-end solution for analyzing and visualizing streaming data Real-time analytics is the hottest topic in data;

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Modeling Dyadic and Interdependent Data in the Developmental and Behavioral Sciences

This book reviews methods of conceptualizing, measuring, and analyzing interdependent data in developmental and behavioral sciences;

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Modeling Dyadic and Interdependent Data in the Developmental and Behavioral Sciences

This book reviews methods of conceptualizing, measuring, and analyzing interdependent data in developmental and behavioral sciences;

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Inference for Heavy-Tailed Data

Heavy tailed data appears frequently in social science, internet traffic, insurance and finance. Statistical inference has been studied;

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Parametric Interval Algebraic Systems

of parameters varying within prescribed intervals. It also provides a comprehensive overview of the theory related to solving parametric interval linear;

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Visualizing Streaming Data

While tools for analyzing streaming and real-time data are gaining adoption, the ability to visualize these data types has yet to catch up;

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Interval Reachability Analysis

of: interval analysis; monotonicity theory; contraction theory; and data-driven techniques that sample trajectories. The methods are;

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Beyond Traditional Probabilistic Data Processing Techniques

Data processing has become essential to modern civilization. The original data for this processing comes from measurements or from experts;

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Time Series Databases - New Ways to Store and Acces Data

Time series data is of growing importance, especially with the rapid expansion of the Internet of Things. This concise guide shows you;

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Analysis for Time-to-Event Data under Censoring and Truncation

of survival data is known as censoring, which occurs when the survival time can only be exactly observed within certain time intervals. A second;

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Interval Finite Element Method with MATLAB

Interval Finite Element Method with MATLAB provides a thorough introduction to an effective way of investigating problems involving;

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Processing and Analyzing Financial Data with R

Processing and Analyzing Financial Data with R is een boek van Marcelo S Perlin;

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