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Techniques Of Event History Modeling

: *gives a comprehensive introductory account of event history modeling techniques and their use in applied research in economics and the social;

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Techniques of Event History Modeling

: *gives a comprehensive introductory account of event history modeling techniques and their use in applied research in economics and the social;

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Event History Modeling

Event History Modeling, first published in 2004, provides an accessible guide to event history analysis for researchers and advanced;

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Event History Modeling

Event History Modeling, first published in 2004, provides an accessible guide to event history analysis for researchers and advanced;

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Time Series Analysis for the Social Sciences

Event History Modeling, first published in 2004, provides an accessible guide to event history analysis for researchers and advanced;

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Event History Analysis With Stata

Event History Analysis With Stata provides an introduction to event history modeling techniques using Stata (version 9), a widely used;

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Discrete-Event Modeling and Simulation

-linear nature. Discrete Event systems Specification (DEVS) provides a formal framework for hierarchical construction of discrete-event models;

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Event History Analysis With Stata

Nowadays, event history analysis can draw on a well-established set of statistical tools for the description and causal analysis of event;

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Event History Analysis With Stata

Nowadays, event history analysis can draw on a well-established set of statistical tools for the description and causal analysis of event;

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Simulation Conceptual Modeling

commonly used conceptual modeling techniques and methods include; Data Flow Modeling, Entity Relationship Modeling, Event-Drive Process Chain;

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Modeling Survival Data

This book is for statistical practitioners, particularly those who design and analyze studies for survival and event history data. Building;

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Conceptual Modeling for Discrete-Event Simulation

Modeling for Discrete-Event Simulation presents a comprehensive view of the current state of the art in the field. The book addresses a host;

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Enterprise, Business-Process and Information Systems Modeling

This book contains the proceedings of two long-running events held along with the CAiSE conference relating to the areas of enterprise;

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Managing Event Information

generate information about events they observe and participate in. A significant fraction of this information contains multimedia data to share the;

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Model and Data Engineering

reuse; event-B and modeling languages; context modeling and model transformation; data mining; query processing; modeling activities and;

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Joint Modeling of Longitudinal and Time-to-Event Data

variation. Joint modeling of longitudinal and time-to-event data has emerged as a novel approach to handle these issues. Joint Modeling;

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Joint Modeling of Longitudinal and Time-to-Event Data

variation. Joint modeling of longitudinal and time-to-event data has emerged as a novel approach to handle these issues. Joint Modeling;

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Theory of Modeling and Simulation

Theory of Modeling and Simulation: Discrete Event & Iterative System Computational Foundations, Third Edition, continues the legacy;

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Managing Event Information

generate information about events they observe and participate in. A significant fraction of this information contains multimedia data to share the;

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Applied Simulation Modeling (with CD-ROM)

Discrete Event Simulation models. Throughout the book, the authors show readers how they can use simulation in the context of decision making;

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Discrete-Event Modeling and Simulation

Collecting the work of the foremost scientists in the field, Discrete-Event Modeling and Simulation: Theory and Applications presents the;

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Business Process Modeling, Simulation and Design

includes a wide range of approaches such as graphical flowcharting tools, cycle time and capacity analyses, queuing models, discrete-event;

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Business Process Modeling, Simulation and Design

wide range of approaches such as graphical flowcharting tools, cycle time and capacity analyses, queuing models, discrete-event simulation;

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Introducing Survival and Event History Analysis

and event history analysis;

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Secure Control of Networked Control Systems and Its Applications

method and event-based control method. (3) Active control methods are proposed by using model-predictive control and redundant control. (4) The;

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Modern Simulation And Modeling

A step-by-step guide for today's modeling and simulation practices This new guide for modeling and simulation of discrete-event systems;

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Principles of Modeling and Simulation

book is organized into three succinct parts: Principles of Modeling and Simulation provides a brief history of modeling and simulation;

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