Assuming a basic knowledge of the frequentist approach to finite population sampling, Bayesian Methods for Finite Population Sampling describes Bayesian and predictive approaches to inferential problems with an emphasis on the likelihood principle. The authors demonstrate that a variety of levels of prior information can be used in survey sampling in a Bayesian manner. Situations considered range from a noninformative Bayesian justification of standard frequentist methods when the only prior information available is the belief in the exchangeability of the units to a full-fledged Bayesian model. Intended primarily for graduate students and researchers in finite population sampling, this book will also be of interest to statisticians who use sampling and lecturers and researchers in general statistics and biostatistics.
The only comprehensive guide to the theory and practice of one oftoday's most important probabilistic techniques The past 15 years have witnessed many significant advances insequential estimation, especially in the areas of three-stage andnonparametric methodology. Yet, until now, there were no referencesdevoted exclusively to this rapidly growing statisticalfield. Sequential Estimation is the first, single-source guide to thetheory and practice of both classical and modern sequentialestimation techniques--including parametric and nonparametricmethods. Researchers in sequential analysis will appreciate theunified, logically integrated treatment of the subject, as well ascoverage of important contemporary procedures not covered in moregeneral sequential analysis texts, such as: * Shrinkage estimation * Empirical and hierarchical Bayes procedures * Multistage sampling and accelerated sampling procedures * Time-sequential estimation * Sequential estimation in finite population sampling * Reliability estimation and capture-recapture methodologiesleading to sequential tagging schemes An indispensable resource for researchers in sequential analysis,Sequential Estimation is an ideal graduate-level text as well.
Assuming a basic knowledge of the frequentist approach to finite population sampling, Bayesian Methods for Finite Population Sampling describes Bayesian and predictive approaches to inferential problems with an emphasis on the likelihood principle. The authors demonstrate that a variety of levels of prior information can be used in survey sampling in a Bayesian manner. Situations considered range from a noninformative Bayesian justification of standard frequentist methods when the only prior information available is the belief in the exchangeability of the units to a full-fledged Bayesian model. Intended primarily for graduate students and researchers in finite population sampling, this book will also be of interest to statisticians who use sampling and lecturers and researchers in general statistics and biostatistics.
Provides coverage on the full range of topics associated with polyimides, including structure, polymer fundamentals, and product areas. The text addresses both basic and applied aspects of the subject. It details the synthesis of polyimides, polyamideimides, and flourinated polyimides, explains the molecular design of photosensitive polyimides, and more.
The only comprehensive guide to the theory and practice of one oftoday's most important probabilistic techniques The past 15 years have witnessed many significant advances insequential estimation, especially in the areas of three-stage andnonparametric methodology. Yet, until now, there were no referencesdevoted exclusively to this rapidly growing statisticalfield. Sequential Estimation is the first, single-source guide to thetheory and practice of both classical and modern sequentialestimation techniques--including parametric and nonparametricmethods. Researchers in sequential analysis will appreciate theunified, logically integrated treatment of the subject, as well ascoverage of important contemporary procedures not covered in moregeneral sequential analysis texts, such as: * Shrinkage estimation * Empirical and hierarchical Bayes procedures * Multistage sampling and accelerated sampling procedures * Time-sequential estimation * Sequential estimation in finite population sampling * Reliability estimation and capture-recapture methodologiesleading to sequential tagging schemes An indispensable resource for researchers in sequential analysis,Sequential Estimation is an ideal graduate-level text as well.
Assuming a basic knowledge of the frequentist approach to finite population sampling, Bayesian Methods for Finite Population Sampling describes Bayesian and predictive approaches to inferential problems with an emphasis on the likelihood principle. The authors demonstrate that a variety of levels of prior information can be used in survey sampling in a Bayesian manner. Situations considered range from a noninformative Bayesian justification of standard frequentist methods when the only prior information available is the belief in the exchangeability of the units to a full-fledged Bayesian model. Intended primarily for graduate students and researchers in finite population sampling, this book will also be of interest to statisticians who use sampling and lecturers and researchers in general statistics and biostatistics.
Provides coverage on the full range of topics associated with polyimides, including structure, polymer fundamentals, and product areas. The text addresses both basic and applied aspects of the subject. It details the synthesis of polyimides, polyamideimides, and flourinated polyimides, explains the molecular design of photosensitive polyimides, and more.
This compact text on Database Management System is a perfect blend of theoretical and practical aspects. From basics to applications, it provides a thorough and up-to-date treatment of the subject. The book, in the beginning, builds a strong foundation of relational database management system and then deals with query language, data manipulation, transaction processing, data warehouse, data mining, and application programming. The text is supported by clear illustrations, sufficient figures and tables, and necessary theoretical details to understand the topics with clarity. Besides, numerous solved examples and chapter-end exercises will help students reinforce their problem-solving skills. The book adopts a methodological approach to problem solving. Primarily intended for both degree and diploma students of Computer Science and Engineering, the book will also be of benefit to the students of computer applications and management.
The book addresses legal issues and challenges in using Space Technology. Especially covered are the provisions of International Space Law and few national space legislations to regulate private actors in outer space. The key chapters covered are history of space regulations, private actors in space, legal issues for such actors, regulating these issues outside India, and the same in India. In concluding chapter, the author has worked out some recommendations. The book would be of immense use to people especially startups in private space industry; students, faculties and scholars of Space Law and Policy, Space Security, Defence and Security Studies. Please note: Taylor & Francis does not sell or distribute the Hardback in India, Pakistan, Nepal, Bhutan, Bangladesh and Sri Lanka
This book is designed for undergraduate and postgraduate students of Computer Science and Engineering, Information Technology, Electronics and Communication Engineering, and Electrical Engineering. The book comprehensively covers all the important topics in digital image processing and pattern recognition along with the fundamental concepts, mathematical preliminaries and theoretical derivations of significant theorems. The image processing topics include coverage of image formation, digitization, lower level processing, image analysis, image compression, and so on. The topics on pattern recognition include statistical decision making, decision tree learning, artificial neural networks, clustering and others. An application of simulated annealing for edge detection is described in an appendix. The book is profusely illustrated with more than 200 figures and sketches as an added feature. KEY FEATURES: Provides a large number of worked examples to strengthen the grasp of the concepts. Lays considerable emphasis on the algorithms in order to teach students how to write good practical programs for problem solving. Devotes a separate chapter to currently used image format standards. Offers problems at the end of each chapter to help students test their understanding of the fundamentals of the subject.
This book, now in its second edition, will help students build sound concepts which underlie the three distinct but related topics of Computer Graphics, Multimedia and Animation. These topics are of utmost importance because of their enormous applications in the fields of graphical user interfaces, multimedia and animation software development. The treatment of the text is methodical and systematic, and it covers the basic principles for the use, design and implementation of computer graphics systems with a perfect balance in the presentation of theoretical and practical aspects. The second edition introduces the basics of fractal geometry and includes a companion CD containing a number of C programs to demonstrate the implementation of different algorithms of computer graphics. Some of the outstanding features of the book are : Algorithmic Presentation : Almost all the processes, generally used in computer graphics, are described along with easy-to-read algorithms. These help students master basic concepts and develop their own software skills. Clear Illustrations : Descriptions of different devices and processes are illustrated with more than 250 neatly drawn figures. Solved Problems : Numerous solved problems and chapter-end exercises help students grasp finer details of theory. Advanced Topics : Chapter 6 includes schematics and algorithms to develop a display file based graphical system. Chapter 16 includes organizations of different types of commonly used graphic and image files. Knowledge of image file formats helps the developers in reading, manipulating and representing images according to their needs. This text is primarily designed to meet the curriculum needs of courses in Computer Graphics and Multimedia for students pursuing studies in Computer Science and Engineering, Information Technology and Computer Applications.
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