Автор: Liu, Xing Название: Categorical data analysis and multilevel modeling using r ISBN: 1544324901 ISBN-13(EAN): 9781544324906 Издательство: Sage Publications Рейтинг: Цена: 120390.00 T Наличие на складе: Нет в наличии. Описание:
Categorical Data Analysis and Multilevel Modeling Using Rprovides a practical guide to regression techniques for analyzing binary, ordinal, nominal, and count response variables using the R software. Author Xing Liu offers a unified framework for both single-level and multilevel modeling of categorical and count response variables with both frequentist and Bayesian approaches. Each chapter demonstrates how to conduct the analysis using R, how to interpret the models, and how to present the results for publication. A companion website for this book contains datasets and R commands used in the book for students, and solutions for the end-of-chapter exercises on the instructor site.
Автор: Jeffrey R. Harring, Laura M. Stapleton, S. Natasha Beretvas Название: Advances in Multilevel Modeling for Educational Research: Addressing Practical Issues Found in Real-World Applications ISBN: 1681233282 ISBN-13(EAN): 9781681233284 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 94250.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Examines the latest methodological innovations, refinements and state-of-the-art developments and perspectives in the analysis of multilevel data, including current best practices of standard techniques. This volume will be particularly useful to researchers in educational policy, educational psychology including school psychology and special education, and clinical psychology.
Автор: Grimm Kevin J., Ram Nilam, Estabrook Ryne Название: Growth Modeling: Structural Equation and Multilevel Modeling Approaches ISBN: 1462526063 ISBN-13(EAN): 9781462526062 Издательство: Taylor&Francis Рейтинг: Цена: 75530.00 T Наличие на складе: Невозможна поставка. Описание: Growth models are among the core methods for analyzing how and when people change. Discussing both structural equation and multilevel modeling approaches, this book leads readers step by step through applying each model to longitudinal data to answer particular research questions. It demonstrates cutting-edge ways to describe linear and nonlinear change patterns, examine within-person and between-person differences in change, study change in latent variables, identify leading and lagging indicators of change, evaluate co-occurring patterns of change across multiple variables, and more. User-friendly features include real data examples, code (for Mplus or NLMIXED in SAS, and OpenMx or nlme in R), discussion of the output, and interpretation of each model`s results. Pedagogical Features: *Real, worked-through longitudinal data examples serving as illustrations in each chapter. *Script boxes that provide code for fitting the models to example data and facilitate application to the reader`s own data. *"Important Considerations" sections offering caveats, warnings, and recommendations for the use of specific models. *Companion website supplying datasets and syntax for the book`s examples, along with additional code in SAS/R for linear mixed-effects modeling.
Автор: Smith Robert B. Название: Multilevel Modeling of Social Problems: A Causal Perspective ISBN: 9048198542 ISBN-13(EAN): 9789048198542 Издательство: Springer Рейтинг: Цена: 186330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Uniquely focusing on intersections of social problems, multilevel statistical modeling, and causality; These models are also referred to as hierarchical linear models (HLMs) or mixed models.
Автор: Robert B. Smith Название: Multilevel Modeling of Social Problems ISBN: 9401784310 ISBN-13(EAN): 9789401784313 Издательство: Springer Рейтинг: Цена: 222670.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Uniquely focusing on intersections of social problems, multilevel statistical modeling, and causality; These models are also referred to as hierarchical linear models (HLMs) or mixed models.
Автор: Jeffrey R. Harring, Laura M. Stapleton, S. Natasha Beretvas Название: Advances in Multilevel Modeling for Educational Research: Addressing Practical Issues Found in Real-World Applications ISBN: 1681233274 ISBN-13(EAN): 9781681233277 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 50820.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Examines the latest methodological innovations, refinements and state-of-the-art developments and perspectives in the analysis of multilevel data, including current best practices of standard techniques. This volume will be particularly useful to researchers in educational policy, educational psychology including school psychology and special education, and clinical psychology.
Автор: Francis L. Huang Название: Practical Multilevel Modeling Using R ISBN: 1071846124 ISBN-13(EAN): 9781071846124 Издательство: Sage Publications Рейтинг: Цена: 88710.00 T Наличие на складе: Нет в наличии. Описание: Practical Multilevel Modeling Using R provides students with a step-by-step guide for running their own multilevel analyses. Detailed examples illustrate the conceptual and statistical issues that multilevel modeling addresses in a way that is clear and relevant to students in applied disciplines. Clearly annotated R syntax illustrates how multilevel modeling (MLM) can be used, and real-world examples show why and how modeling decisions can affect results. The book covers all the basics but also important advanced topics such as diagnostics, detecting and handling heteroscedasticity, power analysis, and missing data handling methods. Unlike other detailed texts on MLM which are written at a very high level, this text with its applied focus and use of R software to run the analyses is much more suitable for students who have substantive research areas but are not training to be methodologists or statisticians. Each chapter concludes with a "Test Yourself" section, and solutions are available on the instructor website for the book. A companion R package is available for use with this text.
Автор: Heck, Ronald H Название: Multilevel Modeling of Categorical Outcomes Using IBM SPSS ISBN: 1848729561 ISBN-13(EAN): 9781848729568 Издательство: Taylor&Francis Рейтинг: Цена: 51030.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Gelman Название: Data analysis using regression and multilevel/hierarchical models ISBN: 052168689X ISBN-13(EAN): 9780521686891 Издательство: Cambridge Academ Рейтинг: Цена: 57030.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Data Analysis Using Regression and Multilevel/Hierarchical Models, first published in 2007, is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. It introduces and demonstrates a variety of models and instructs the reader in how to fit these models using freely available software packages.
Автор: Altman Eitan, Avrachenkov Konstantin, De Pellegrini Francesco Название: Multilevel Strategic Interaction Game Models for Complex Networks ISBN: 3030244571 ISBN-13(EAN): 9783030244576 Издательство: Springer Цена: 74530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Preface
Part I Multi-Level Evolutionary Games
Chapter 1 Introduction
Chapter 2 Altruism in Groups 2.1 Classical Evolutionary Games and ESS; 2.2 New natural concept on evolutionary games; 2.3 Analysis of N-groups games with two strategies; 2.4 Some Examples; 2.5 Multiple Access Control; 2.6 Conclusions
Chapter 3 From Egoism to Altruism in Groups 3.1 System Model; 3.2 Utility Functions; 3.3 Computing the ESS; 3.4 Replicator Dynamics; 3.5 Optimization Issues; 3.6 Numerical Results; 3.7 Conclusion
Chapter 4 Evolutionary Games in Interacting Communities 4.1 Introduction; 4.2 Evolutionarily Stable Strategies; 4.3 Two-community two-strategy model; 4.4 Replicator Dynamics; 4.5 Application to Hawk- Dove game; 4.6 Interacting communities on random graphs; 4.7 Conclusion; 4.8 Proofs
Chapter 5 Random Time Delays in Evolutionary Game Dynamics 5.1 Evolutionary Games; 5.2 Replicator dynamics with continuous random delays; 5.3 Replicator dynamics with one delayed strategy; 5.4 Conclusions; 5.5 Proof of Theorem 8; 5.6 Proof of Theorem 10
Chapter 6 Coupled State Policy Dynamics in Evolutionary Games 6.1 Standard Evolutionary Game Theory; 6.2 Individual State in EGT framework; 6.3 Two time-scales behavior; 6.4 Numerical Illustrations; 6.5 Conclusions and perspectives
Part II Epidemics/Information Diffusion
Chapter 7 Introduction
Chapter 8 Community Network with Equitable Partitions 8.1 Equitable Partitions; 8.2 Example; 8.3 Almost equitable partitions; 8.4 Conclusion
Chapter 9 Epidemic Spreading on Interconnected Networks 9.1 Effect on the Epidemic Threshold; 9.2 Effect of the Spatial Constraints of Interconnected Networks
Chapter 10 Co-Evolution/ Adaptive Epidemics 10.1 Adaptive SIS model; 10.2 Comparison of the ASIS and AID model; 10.3 Conclusion
Part III Networking Games
Chapter 11 Introduction
Chapter 12 "Beat your Rival" Routing Games 12.0.1 Solution concept; 12.1 Model and Game Theoretic Formulations; 12.2 Bottleneck Routing Games; 12.3 Additive Routing Games; 12.4 Conclusions
Chapter 13 Network Formation Games with Teams 13.1 Network Formation Games with Teams: Basic definitions; 13.2 Network Formation Games with Teams: A Motivating Example; 13.3 Stability of Networks Against Teams' Coalitions; 13.4 Dynamic formation of networks under coalitions; 13.5 Simulation Results; 13.6 Conclusions
Chapter 14 Peering vs Transit: A game theoretical model for autonomous systems connectivity 14.1 Introduction; 14.2 Related Work; 14.3 Scenario; 14.4 General Model; 14.5 Minimal Complexity Model (MCM); 14.6 Simulations; 14.7 Conclusions; 14.8 Appendix
Chapter 15 Network Neutrality 15.1 Introduction; 15.2 Computing the equilibrium; 15.3 Paradox and Price of Anarchy; 15.4 Collusions and Conclusions
Part IV Intermittency in Complex Systems
Chapter 16 Introduction
17 Models with Adaptive Intermittent Behavior 17.1 Tangled Nature Model; 17.2 The Stochastic Replicator Model
Chapter 18 Outline of the Forecasting Procedure 18.1 Mean-Field Description; 18.2 Linear Stability Theory: Continuum Approximation; 18.3 TNM Mean Field Description; 18.4 SRM Mean Field Description
Chapter 19 Forecasting Procedure Based on Full Information 19.1 Procedure; 19.2 Results; 19.3 Analysis of the Stability Indicator Q(t); 19.4 Discussion
Chapter 20 Procedures with Incomplete Information 20.1 Interactions with Error; 20.2 New Procedure; 20.3 Results; 20.4
Chapter 21 Conclusion
Автор: Sonya Bahar Название: The Essential Tension ISBN: 940241052X ISBN-13(EAN): 9789402410525 Издательство: Springer Рейтинг: Цена: 65210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Part III addresses experimental studies of cooperation and competition, as well as controversial ideas such as the evolution of evolvability and Stephen Jay Gould`s suggestion that "spandrels" at one level of selection serve as possible sources of variability for the next higher level.
Автор: Sonya Bahar Название: The Essential Tension ISBN: 9402414770 ISBN-13(EAN): 9789402414776 Издательство: Springer Рейтинг: Цена: 65210.00 T Наличие на складе: Нет в наличии. Описание: 'The Essential Tension' explores how agents that naturally compete come to act together as a group. The author argues that the controversial concept of multilevel selection is essential to biological evolution, a proposition set to stimulate new debate. The idea of one collective unit emerging from the cooperative interactions of its constituent (and mutually competitive) parts has its roots in the ancient world. More recently, it has illuminated studies of animal behavior, and played a controversial role in evolutionary biology. In Part I, the author explores the historical development of the idea of a collectivity in biological systems, from early speculations on the sociology of human crowd behavior, through the mid-twentieth century debates over the role of group selection in evolution, to the notion of the selfish gene. Part II investigates the balance between competition and cooperation in a range of contemporary biological problems, from flocking and swarming to experimental evolution and the evolution of multicellularity. Part III addresses experimental studies of cooperation and competition, as well as controversial ideas such as the evolution of evolvability and Stephen Jay Gould’s suggestion that “spandrels” at one level of selection serve as possible sources of variability for the next higher level. Finally, building on the foundation established in the preceding chapters, the author arrives at a provocative new proposition: as a result of the essential tension between competition and cooperation, multiple levels may be essential in order for evolutionary processes to occur at all.
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