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Linear Stochastic Systems
Linear Stochastic Systems, originally published in 1988, is today as comprehensive a reference to the theory of linear discrete-time-parameter systems as ever. Its most outstanding feature is the unified presentation, including both input-output and state space representations of stochastic linear systems, together with their interrelationships. The author first covers the foundations of linear stochastic systems and then continues through to more sophisticated topics including the fundamentals of stochastic processes and the construction of stochastic systems; an integrated exposition of the theories of prediction, realization (modeling), parameter estimation, and control; and a presentation of stochastic adaptive control theory. Written in a clear, concise manner and accessible to graduate students, researchers, and teachers, this classic volume also includes background material to make it self-contained and has complete proofs for all the principal results of the book. Furthermore, this edition includes many corrections of errata collected over the years.
Matrix Analysis for Statistics
An up-to-date version of the complete, self-contained introduction to matrix analysis theory and practice Providing accessible and in-depth coverage of the most common matrix methods now used in statistical applications, Matrix Analysis for Statistics, Third Edition features an easy-to-follow theorem/proof format. Featuring smooth transitions between topical coverage, the author carefully justifies the step-by-step process of the most common matrix methods now used in statistical applications, including eigenvalues and eigenvectors; the Moore-Penrose inverse; matrix differentiation; and the distribution of quadratic forms. An ideal introduction to matrix analysis theory and practice, Matrix ...
Leadership for Learning
In this revised edition, Carl Glickman and coauthor Rebecca West Burns synthesize their decades of experience in teacher education and supervision into a comprehensive guide to supporting teacher growth and student learning. Embedded in every page are the essential knowledge, skills, approaches, and methods that leaders need to drive instructional improvement. Official school leaders and classroom teachers striving to be the best will learn how to put the school's goals and priorities into practice by * Selecting the right structure for differentiating teacher professional learning to improve outcomes for students; * Implementing the technical and procedural skills needed to support teacher ...
Risk Assessment and Decision Analysis with Bayesian Networks
Although many Bayesian Network (BN) applications are now in everyday use, BNs have not yet achieved mainstream penetration. Focusing on practical real-world problem solving and model building, as opposed to algorithms and theory, Risk Assessment and Decision Analysis with Bayesian Networks explains how to incorporate knowledge with data to develop and use (Bayesian) causal models of risk that provide powerful insights and better decision making. Provides all tools necessary to build and run realistic Bayesian network models Supplies extensive example models based on real risk assessment problems in a wide range of application domains provided; for example, finance, safety, systems reliabilit...
Statistical Analysis with ArcView GIS
Statistical analysis of geographic data has been greatly enhanced in recent years with the advent of Geographical Information Systems (GIS) software. Yet GIS users have struggles to synchronize their applications of spatial information with practical, quantitative statistics. ArcView, one of the most powerful GIS-compatible systems, has become the most popular software among geographers precisely because of its capacity for spatial-quantitative synthesis. Now geographers Jay Lee and David Wong have produced the first handbook for applied ArcView use, bringing the theoretical underpinnings of classical statistics into the earth science environment. Employing points, lines, and polygons to mod...
Advanced Immediate Loading
This expert guide presents the most recent research and state-of-the-art protocols for immediate loading of dental implants, a restorative approach that continues to evolve with ever-increasing success and predictability of results. The first several chapters explain the scientific and biologic basis of immediate loading, including requirements for successful clinical application, the importance of implant surface and design characteristics, and the results of human and animal histologic studies. The later chapters build on this knowledge, presenting research results and clinical case examples relevant to specific applications of immediate loading, including its use in the anterior mandible,...
Culture Re-Boot
Packed with hands-on activities, this practical handbook shows you how to be the transformational leader your school needs to enact a culture change and improve student outcomes.
Statistical Analysis and Data Display
This presentation of statistical methods features extensive use of graphical displays for exploring data and for displaying the analysis. The authors demonstrate how to analyze data—showing code, graphics, and accompanying computer listings. They emphasize how to construct and interpret graphs, discuss principles of graphical design, and show how tabular results are used to confirm the visual impressions derived from the graphs. Many of the graphical formats are novel and appear here for the first time in print.
Introduction to Digital Systems
This manual covers more topics related to the field: advanced implementation of algorithmic systems and advanced material on VHDL design. A real emphasis is placed on the hierarchical approach to the design of digital systems and is followed consistently throughout the text.
SAS and R
An All-in-One Resource for Using SAS and R to Carry out Common TasksProvides a path between languages that is easier than reading complete documentationSAS and R: Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in both SAS and R, without having to navigate through the extensive, id
