books about: hierarchical     books:     Hierarchical      HLM 6: Hierarchical Linear and Nonlinear Modeling Stephen W. Raudenbush, Anthony S. Bryk, ... Scientific Software International, Inc., 2004 Bare necessities This book offers bare necessities to conduct analysis on your own. For those interested in approach on how to teach students to use and understand this concept, this book is not the happiest choice. Its textual style resembles more to a "users guide for technical ...             Supply Chain Management and Advanced Planning: Concepts, Models, Software, and Case Studies Springer, 2007 State-of-the Art thinking on Supply Chain Management I was pleasantly surprised and impressed with the high quality and standard of the book, Supply Chain Management and Advanced Planning. It reflects state-of-the-art thinking as well as current views, and contains up-to-date case studies of supply chain management and ...             Hierarchical Modeling and Analysis for Spatial Data (Monographs on Statistics and Applied Probability) Sudipto Banerjee, Bradley. P. Carlin, ... Chapman & Hall/CRC, 2003 A key text on Bayesian spatial statistics I've bought several spatial statistics books over the years and found they generally fall into one of two categories; oversimplified or cover-to-cover matrix notation, neither of which is very useful for my research. However, this book is "just right," bridging these ...             Hierarchical Linear Models: Applications and Data Analysis Methods (Advanced Quantitative Techniques in the ... Stephen W. Raudenbush, Anthony S. Bryk Sage Publications, Inc, 2001 Useful, but need solid background in stats This book describes important advances in statistical analysis of social science data, circa 1992. Much of this data has a natural hierarchical grouping. But traditional statistical methods proved inadequate at coping. The biggest drawback was the failure of the ...             Data Analysis Using Regression and Multilevel/Hierarchical Models Andrew Gelman, Jennifer Hill Cambridge University Press, 2006 very broad coverage of data analysis with hierarchical models Andrew Gelman is a top researcher in Bayesian statistics as well as an excellent writer. He has written an excellent text on Bayesian data analysis that uses the Markov Chain Monte Carlo methods for dealing with hierarchical linear models. This book starts out on an ...             Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology (Interdisciplinary Statistics) Andrew B. Lawson Chapman & Hall/CRC, 2008 Focusing on data commonly found in public health databases and clinical settings, Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology provides an overview of the main areas of Bayesian hierarchical modeling and its application to the geographical analysis of disease. The book explores a range of topics in Bayesian ...             Clustering (IEEE Press Series on Computational Intelligence) Rui Xu, Don Wunsch Wiley-IEEE Press, 2008 excellent comprehensive book This is really excellent book as brings new methods compared to other ones on the same topic, which still presented the same information.             Bayesian Computation with R (Use R) Jim Albert Springer, 2008 more practicality added to Bayesian inference Jim Albert is a great teacher and an excellent writer. The R language is becoming one of the most used languages by statistical researchers. This is because it has many similarities to S and can be used freely, Jim makes R easy to learn for statisticians in this ...             Hierarchical Modeling and Inference in Ecology: The Analysis of Data from Populations, Metapopulations and ... J. Andrew Royle, Robert M. Dorazio Academic Press, 2008 A guide to data collection, modeling and inference strategies for biological survey data using Bayesian and classical statistical methods. This book describes a general and flexible framework for modeling and inference in ecological systems based on hierarchical models, with a strict focus on the use of probability models and parametric ...             Simulating the Physical World: Hierarchical Modeling from Quantum Mechanics to Fluid Dynamics Herman J. C. Berendsen Cambridge University Press, 2007 The simulation of physical systems requires a simplified, hierarchical approach which models each level from the atomistic to the macroscopic scale. From quantum mechanics to fluid dynamics, this book systematically treats the broad scope of computer modeling and simulations, describing the fundamental theory behind each level of approximation. ...             Multivariate and Megavariate Data Analysis Advanced Applications and Method Extensions (Part II) L. Eriksson, E. Johansson, ... Umetrics, Inc., 2006 This second volume has two parts, the first with specialized applications of multi- and mega-variate analysis, namely: QSAR (quantitative structure-activity relationships) describes how series of molecular structures can be translated to quantitative data and how these data then are used to model and predict biological activity measurements made ...             Developing Non-Hierarchical Leadership on Campus: Case Studies and Best Practices in Higher Education (The ... Greenwood Press, 2000 Many problems that plague modern American society, including disappearance of community, decaying inner cities, racial tensions, environmental degradation, declining civic engagement, and the increasing ineffectiveness of government, to name a few, are in many respects problems of leadership. Leadership means not only what elected and appointed ...             A Hierarchical Concept of Ecosystems. (MPB-23) (Monographs in Population Biology) Robert V. O'Neill, Donald Lee Deangelis, ... Princeton University Press, 1986 "Ecosystem" is an intuitively appealing concept to most ecologists, but, in spite of its widespread use, the term remains diffuse and ambiguous. The authors of this book argue that previous attempts to define the concept have been derived from particular viewpoints to the exclusion of others equally possible. They offer instead a more general line ...             A Practical Programming Model for the Multi-Core Era: International Workshop on OpenMP, IWOMP 2007 Beijing, ... Springer, 2008 This book constitutes the thoroughly refereed post-workshop proceedings of the Third International Workshop on OpenMP, IWOMP 2007, held in Beijing, China, in June 2007. The 14 revised full papers and 8 revised short papers presented were carefully reviewed and selected from 28 submissions. The papers address all topics related to OpenMP, such ...             Hierarchical Modelling for the Environmental Sciences: Statistical Methods and Applications (Oxford Biology) Oxford University Press, USA, 2006 New statistical tools are changing the ways in which scientists analyze and interpret data and models. Many of these are emerging as a result of the wide availability of inexpensive, high speed computational power. In particular, hierarchical Bayes and Markov Chain Monte Carlo methods for anyalsis provide consistent framework for inference and ...          products you might be interested in search for books computational, environmental, interdisciplinary, international, metapopulations, non-hierarchical      toavi.com    web we recommend A key text on Bayesian spatial statistics randomly chosen book: A Bend in the Road