Modeling Multi Level Systems

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Modeling Multi-Level Systems

Octavian Iordache
Modeling Multi Level Systems Book PDF

Author : Octavian Iordache
Publisher : Springer Science & Business Media
Page : 244 pages
File Size : 48,5 Mb
Release : 2011-02-07
Category : Computers
ISBN : 9783642179457

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Modeling Multi-Level Systems by Octavian Iordache Pdf

This book is devoted to modeling of multi-level complex systems, a challenging domain for engineers, researchers and entrepreneurs, confronted with the transition from learning and adaptability to evolvability and autonomy for technologies, devices and problem solving methods. Chapter 1 introduces the multi-scale and multi-level systems and highlights their presence in different domains of science and technology. Methodologies as, random systems, non-Archimedean analysis, category theory and specific techniques as model categorification and integrative closure, are presented in chapter 2. Chapters 3 and 4 describe polystochastic models, PSM, and their developments. Categorical formulation of integrative closure offers the general PSM framework which serves as a flexible guideline for a large variety of multi-level modeling problems. Focusing on chemical engineering, pharmaceutical and environmental case studies, the chapters 5 to 8 analyze mixing, turbulent dispersion and entropy production for multi-scale systems. Taking inspiration from systems sciences, chapters 9 to 11 highlight multi-level modeling potentialities in formal concept analysis, existential graphs and evolvable designs of experiments. Case studies refer to separation flow-sheets, pharmaceutical pipeline, drug design and development, reliability management systems, security and failure analysis. Perspectives and integrative points of view are discussed in chapter 12. Autonomous and viable systems, multi-agents, organic and autonomic computing, multi-level informational systems, are revealed as promising domains for future applications. Written for: engineers, researchers, entrepreneurs and students in chemical, pharmaceutical, environmental and systems sciences engineering, and for applied mathematicians.

Multilevel Modeling of Educational Data

Ann A. O'Connell,D. Betsy McCoach
Multilevel Modeling of Educational Data Book PDF

Author : Ann A. O'Connell,D. Betsy McCoach
Publisher : IAP
Page : 541 pages
File Size : 50,8 Mb
Release : 2008-04-01
Category : Education
ISBN : 9781607527299

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Multilevel Modeling of Educational Data by Ann A. O'Connell,D. Betsy McCoach Pdf

(sponsored by the Educational Statisticians, SIG) Multilevel Modeling of Educational Data, co-edited by Ann A. O’Connell, Ed.D., and D. Betsy McCoach, Ph.D., is the next volume in the series: Quantitative Methods in Education and the Behavioral Sciences: Issues, Research and Teaching (Information Age Publishing), sponsored by the Educational Statisticians' Special Interest Group (Ed-Stat SIG) of the American Educational Research Association. The use of multilevel analyses to examine effects of groups or contexts on individual outcomes has burgeoned over the past few decades. Multilevel modeling techniques allow educational researchers to more appropriately model data that occur within multiple hierarchies (i.e.- the classroom, the school, and/or the district). Examples of multilevel research problems involving schools include establishing trajectories of academic achievement for children within diverse classrooms or schools or studying school-level characteristics on the incidence of bullying. Multilevel models provide an improvement over traditional single-level approaches to working with clustered or hierarchical data; however, multilevel data present complex and interesting methodological challenges for the applied education research community. In keeping with the pedagogical focus for this book series, the papers this volume emphasize applications of multilevel models using educational data, with chapter topics ranging from basic to advanced. This book represents a comprehensive and instructional resource text on multilevel modeling for quantitative researchers who plan to use multilevel techniques in their work, as well as for professors and students of quantitative methods courses focusing on multilevel analysis. Through the contributions of experienced researchers and teachers of multilevel modeling, this volume provides an accessible and practical treatment of methods appropriate for use in a first and/or second course in multilevel analysis. A supporting website links chapter examples to actual data, creating an opportunity for readers to reinforce their knowledge through hands-on data analysis. This book serves as a guide for designing multilevel studies and applying multilevel modeling techniques in educational and behavioral research, thus contributing to a better understanding of and solution for the challenges posed by multilevel systems and data.

An Introduction to Multilevel Modeling Techniques

Ronald H. Heck,Scott L. Thomas
An Introduction to Multilevel Modeling Techniques Book PDF

Author : Ronald H. Heck,Scott L. Thomas
Publisher : Psychology Press
Page : 233 pages
File Size : 46,6 Mb
Release : 1999-11-01
Category : Computers
ISBN : 9781135678319

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An Introduction to Multilevel Modeling Techniques by Ronald H. Heck,Scott L. Thomas Pdf

This book provides a broad overview of basic multilevel modeling issues and illustrates techniques building analyses around several organizational data sets. Although the focus is primarily on educational and organizational settings, the examples will help the reader discover other applications for these techniques. Two basic classes of multilevel models are developed: multilevel regression models and multilevel models for covariance structures--are used to develop the rationale behind these models and provide an introduction to the design and analysis of research studies using two multilevel analytic techniques--hierarchical linear modeling and structural equation modeling.

Multi-Level Decision Making

Guangquan Zhang,Jie Lu,Ya Gao
Multi Level Decision Making Book PDF

Author : Guangquan Zhang,Jie Lu,Ya Gao
Publisher : Springer
Page : 385 pages
File Size : 47,7 Mb
Release : 2015-02-07
Category : Technology & Engineering
ISBN : 9783662460597

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Multi-Level Decision Making by Guangquan Zhang,Jie Lu,Ya Gao Pdf

This monograph presents new developments in multi-level decision-making theory, technique and method in both modeling and solution issues. It especially presents how a decision support system can support managers in reaching a solution to a multi-level decision problem in practice. This monograph combines decision theories, methods, algorithms and applications effectively. It discusses in detail the models and solution algorithms of each issue of bi-level and tri-level decision-making, such as multi-leaders, multi-followers, multi-objectives, rule-set-based, and fuzzy parameters. Potential readers include organizational managers and practicing professionals, who can use the methods and software provided to solve their real decision problems; PhD students and researchers in the areas of bi-level and multi-level decision-making and decision support systems; students at an advanced undergraduate, master’s level in information systems, business administration, or the application of computer science.

Multilevel Analysis

Tom A. B. Snijders,Roel J. Bosker
Multilevel Analysis Book PDF

Author : Tom A. B. Snijders,Roel J. Bosker
Publisher : SAGE
Page : 282 pages
File Size : 55,9 Mb
Release : 1999
Category : Mathematics
ISBN : 0761958908

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Multilevel Analysis by Tom A. B. Snijders,Roel J. Bosker Pdf

Multilevel analysis covers all the main methods, techniques and issues for carrying out multilevel modeling and analysis. The approach is applied, and less mathematical than many other textbooks.

Multilevel Models

Jichuan Wang,Haiyi Xie,James F. Fisher
Multilevel Models Book PDF

Author : Jichuan Wang,Haiyi Xie,James F. Fisher
Publisher : Walter de Gruyter
Page : 275 pages
File Size : 54,6 Mb
Release : 2011-12-23
Category : Mathematics
ISBN : 9783110267709

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Multilevel Models by Jichuan Wang,Haiyi Xie,James F. Fisher Pdf

Interest in multilevel statistical models for social science and public health studies has been aroused dramatically since the mid-1980s. New multilevel modeling techniques are giving researchers tools for analyzing data that have a hierarchical or clustered structure. Multilevel models are now applied to a wide range of studies in sociology, population studies, education studies, psychology, economics, epidemiology, and public health. This book covers a broad range of topics about multilevel modeling. The goal of the authors is to help students and researchers who are interested in analysis of multilevel data to understand the basic concepts, theoretical frameworks and application methods of multilevel modeling. The book is written in non-mathematical terms, focusing on the methods and application of various multilevel models, using the internationally widely used statistical software, the Statistics Analysis System (SAS®). Examples are drawn from analysis of real-world research data. The authors focus on twolevel models in this book because it is most frequently encountered situation in real research. These models can be readily expanded to models with three or more levels when applicable. A wide range of linear and non-linear multilevel models are introduced and demonstrated.

Multilevel Analysis of Educational Data

R. Darrell Bock
Multilevel Analysis of Educational Data Book PDF

Author : R. Darrell Bock
Publisher : Elsevier
Page : 367 pages
File Size : 54,6 Mb
Release : 2014-06-28
Category : Education
ISBN : 9781483295602

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Multilevel Analysis of Educational Data by R. Darrell Bock Pdf

Multilevel Analysis of Educational Data Bayesian methods Empirical Bayes Generalized least squares Profile likelihoods E-M algorithm Fisher scoring procedures Both educational and social science applications

Multilevel Modeling

Douglas A. Luke
Multilevel Modeling Book PDF

Author : Douglas A. Luke
Publisher : SAGE Publications
Page : 96 pages
File Size : 44,7 Mb
Release : 2019-12-13
Category : Social Science
ISBN : 9781544310282

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Multilevel Modeling by Douglas A. Luke Pdf

Multilevel Modeling is a concise, practical guide to building models for multilevel and longitudinal data. Author Douglas A. Luke begins by providing a rationale for multilevel models; outlines the basic approach to estimating and evaluating a two-level model; discusses the major extensions to mixed-effects models; and provides advice for where to go for instruction in more advanced techniques. Rich with examples, the Second Edition expands coverage of longitudinal methods, diagnostic procedures, models of counts (Poisson), power analysis, cross-classified models, and adds a new section added on presenting modeling results. A website for the book includes the data and the statistical code (both R and Stata) used for all of the presented analyses.

Multilevel Modeling Using R

W. Holmes Finch,Jocelyn E. Bolin,Ken Kelley
Multilevel Modeling Using R Book PDF

Author : W. Holmes Finch,Jocelyn E. Bolin,Ken Kelley
Publisher : CRC Press
Page : 242 pages
File Size : 54,9 Mb
Release : 2019-07-16
Category : Mathematics
ISBN : 9781351062251

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Multilevel Modeling Using R by W. Holmes Finch,Jocelyn E. Bolin,Ken Kelley Pdf

Like its bestselling predecessor, Multilevel Modeling Using R, Second Edition provides the reader with a helpful guide to conducting multilevel data modeling using the R software environment. After reviewing standard linear models, the authors present the basics of multilevel models and explain how to fit these models using R. They then show how to employ multilevel modeling with longitudinal data and demonstrate the valuable graphical options in R. The book also describes models for categorical dependent variables in both single level and multilevel data. New in the Second Edition: Features the use of lmer (instead of lme) and including the most up to date approaches for obtaining confidence intervals for the model parameters. Discusses measures of R2 (the squared multiple correlation coefficient) and overall model fit. Adds a chapter on nonparametric and robust approaches to estimating multilevel models, including rank based, heavy tailed distributions, and the multilevel lasso. Includes a new chapter on multivariate multilevel models. Presents new sections on micro-macro models and multilevel generalized additive models. This thoroughly updated revision gives the reader state-of-the-art tools to launch their own investigations in multilevel modeling and gain insight into their research. About the Authors: W. Holmes Finch is the George and Frances Ball Distinguished Professor of Educational Psychology at Ball State University. Jocelyn E. Bolin is a Professor in the Department of Educational Psychology at Ball State University. Ken Kelley is the Edward F. Sorin Society Professor of IT, Analytics and Operations and the Associate Dean for Faculty and Research for the Mendoza College of Business at the University of Notre Dame.

Multilevel Modeling

Steven P. Reise,Naihua Duan
Multilevel Modeling Book PDF

Author : Steven P. Reise,Naihua Duan
Publisher : Psychology Press
Page : 332 pages
File Size : 47,8 Mb
Release : 2003-01-30
Category : Psychology
ISBN : 9781135655358

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Multilevel Modeling by Steven P. Reise,Naihua Duan Pdf

This book illustrates the current work of leading multilevel modeling (MLM) researchers from around the world. The book's goal is to critically examine the real problems that occur when trying to use MLMs in applied research, such as power, experimental design, and model violations. This presentation of cutting-edge work and statistical innovations in multilevel modeling includes topics such as growth modeling, repeated measures analysis, nonlinear modeling, outlier detection, and meta analysis. This volume will be beneficial for researchers with advanced statistical training and extensive experience in applying multilevel models, especially in the areas of education; clinical intervention; social, developmental and health psychology, and other behavioral sciences; or as a supplement for an introductory graduate-level course.

Hierarchical Linear Models

Stephen W. Raudenbush,Anthony S. Bryk
Hierarchical Linear Models Book PDF

Author : Stephen W. Raudenbush,Anthony S. Bryk
Publisher : SAGE
Page : 520 pages
File Size : 44,9 Mb
Release : 2002
Category : Social Science
ISBN : 076191904X

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Hierarchical Linear Models by Stephen W. Raudenbush,Anthony S. Bryk Pdf

New edition of a text in which Raudenbush (U. of Michigan) and Bryk (sociology, U. of Chicago) provide examples, explanations, and illustrations of the theory and use of hierarchical linear models (HLM). New material in Part I (Logic) includes information on multivariate growth models and other topics.

Multilevel and Longitudinal Modeling with IBM SPSS

Ronald H. Heck,Scott L. Thomas,Lynn N. Tabata
Multilevel and Longitudinal Modeling with IBM SPSS Book PDF

Author : Ronald H. Heck,Scott L. Thomas,Lynn N. Tabata
Publisher : Routledge
Page : 835 pages
File Size : 47,9 Mb
Release : 2013-08-22
Category : Psychology
ISBN : 9781135074241

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Multilevel and Longitudinal Modeling with IBM SPSS by Ronald H. Heck,Scott L. Thomas,Lynn N. Tabata Pdf

This book demonstrates how to use multilevel and longitudinal modeling techniques available in the IBM SPSS mixed-effects program (MIXED). Annotated screen shots provide readers with a step-by-step understanding of each technique and navigating the program. Readers learn how to set up, run, and interpret a variety of models. Diagnostic tools, data management issues, and related graphics are introduced throughout. Annotated syntax is also available for those who prefer this approach. Extended examples illustrate the logic of model development to show readers the rationale of the research questions and the steps around which the analyses are structured. The data used in the text and syntax examples are available at www.routledge.com/9780415817110. Highlights of the new edition include: Updated throughout to reflect IBM SPSS Version 21. Further coverage of growth trajectories, coding time-related variables, covariance structures, individual change and longitudinal experimental designs (Ch.5). Extended discussion of other types of research designs for examining change (e.g., regression discontinuity, quasi-experimental) over time (Ch.6). New examples specifying multiple latent constructs and parallel growth processes (Ch. 7). Discussion of alternatives for dealing with missing data and the use of sample weights within multilevel data structures (Ch.1). The book opens with the conceptual and methodological issues associated with multilevel and longitudinal modeling, followed by a discussion of SPSS data management techniques which facilitate working with multilevel, longitudinal, and cross-classified data sets. Chapters 3 and 4 introduce the basics of multilevel modeling: developing a multilevel model, interpreting output, and trouble-shooting common programming and modeling problems. Models for investigating individual and organizational change are presented in chapters 5 and 6, followed by models with multivariate outcomes in chapter 7. Chapter 8 provides an illustration of multilevel models with cross-classified data structures. The book concludes with ways to expand on the various multilevel and longitudinal modeling techniques and issues when conducting multilevel analyses. It's ideal for courses on multilevel and longitudinal modeling, multivariate statistics, and research design taught in education, psychology, business, and sociology.

Agent-Based Modelling of Socio-Technical Systems

Koen H. van Dam,Igor Nikolic,Zofia Lukszo
Agent Based Modelling of Socio Technical Systems Book PDF

Author : Koen H. van Dam,Igor Nikolic,Zofia Lukszo
Publisher : Springer Science & Business Media
Page : 268 pages
File Size : 48,6 Mb
Release : 2012-10-08
Category : Computers
ISBN : 9789400749337

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Agent-Based Modelling of Socio-Technical Systems by Koen H. van Dam,Igor Nikolic,Zofia Lukszo Pdf

Decision makers in large scale interconnected network systems require simulation models for decision support. The behaviour of these systems is determined by many actors, situated in a dynamic, multi-actor, multi-objective and multi-level environment. How can such systems be modelled and how can the socio-technical complexity be captured? Agent-based modelling is a proven approach to handle this challenge. This book provides a practical introduction to agent-based modelling of socio-technical systems, based on a methodology that has been developed at TU Delft and which has been deployed in a large number of case studies. The book consists of two parts: the first presents the background, theory and methodology as well as practical guidelines and procedures for building models. In the second part this theory is applied to a number of case studies, where for each model the development steps are presented extensively, preparing the reader for creating own models.

Modeling and Simulation of Complex Systems

Robert Siegfried
Modeling and Simulation of Complex Systems Book PDF

Author : Robert Siegfried
Publisher : Springer
Page : 233 pages
File Size : 44,9 Mb
Release : 2014-10-08
Category : Computers
ISBN : 9783658075293

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Modeling and Simulation of Complex Systems by Robert Siegfried Pdf

Robert Siegfried presents a framework for efficient agent-based modeling and simulation of complex systems. He compares different approaches for describing structure and dynamics of agent-based models in detail. Based on this evaluation the author introduces the “General Reference Model for Agent-based Modeling and Simulation” (GRAMS). Furthermore he presents parallel and distributed simulation approaches for execution of agent-based models –from small scale to very large scale. The author shows how agent-based models may be executed by different simulation engines that utilize underlying hardware resources in an optimized fashion.

Theory of Hierarchical, Multilevel, Systems

Anonim
Theory of Hierarchical Multilevel Systems Book PDF

Author : Anonim
Publisher : Elsevier
Page : 322 pages
File Size : 51,5 Mb
Release : 2000-04-01
Category : Mathematics
ISBN : 0080955770

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Theory of Hierarchical, Multilevel, Systems by Anonim Pdf

In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation; methods for low-rank matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation; and methods for information compression and filtering under condition that a filter model should satisfy restrictions associated with causality and different types of memory. As a result, the book represents a blend of new methods in general computational analysis, and specific, but also generic, techniques for study of systems theory ant its particular branches, such as optimal filtering and information compression. - Best operator approximation, - Non-Lagrange interpolation, - Generic Karhunen-Loeve transform - Generalised low-rank matrix approximation - Optimal data compression - Optimal nonlinear filtering