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Angular Statistics

Angular Statistics

Directional data arise in the form of circular / semicircular / axial symmetric / asymmetric uni / bimodal data in practical situations of varied fields. For the purpose of modeling such kind of data sets the data scientists found that existing models as inadequate. As there is paucity of angular models and to fill the gap this book is designed at constructing new angular models with the existing techniques and to develop new tools of constructing angular models with an application to control charts in angular models. This book is planned to cover the following topics in nine chapters Wrapped stereographic and offset circular models Construction of angular models using Rising Sun function positive definite sequences discretization and through differential approach Extemporaneous Semicircular / arc and asymmetric l – axial models Choice of angular models as an inferential aspect and construction of control charts for angular data as an application are presented. This graduate level book will be useful for data scientists researchers and research students of Statistics and allied fields.

GBP 96.00
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Hidden Markov Models for Time Series An Introduction Using R Second Edition

Hidden Markov Models for Time Series An Introduction Using R Second Edition

Hidden Markov Models for Time Series: An Introduction Using R Second Edition illustrates the great flexibility of hidden Markov models (HMMs) as general-purpose models for time series data. The book provides a broad understanding of the models and their uses. After presenting the basic model formulation the book covers estimation forecasting decoding prediction model selection and Bayesian inference for HMMs. Through examples and applications the authors describe how to extend and generalize the basic model so that it can be applied in a rich variety of situations. The book demonstrates how HMMs can be applied to a wide range of types of time series: continuous-valued circular multivariate binary bounded and unbounded counts and categorical observations. It also discusses how to employ the freely available computing environment R to carry out the computations. FeaturesPresents an accessible overview of HMMsExplores a variety of applications in ecology finance epidemiology climatology and sociologyIncludes numerous theoretical and programming exercisesProvides most of the analysed data sets onlineNew to the second editionA total of five chapters on extensions including HMMs for longitudinal data hidden semi-Markov models and models with continuous-valued state processNew case studies on animal movement rainfall occurrence and capture-recapture data | Hidden Markov Models for Time Series An Introduction Using R Second Edition

GBP 44.99
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Handbook of Graph Drawing and Visualization

Handbook of Graph Drawing and Visualization

Get an In-Depth Understanding of Graph Drawing Techniques Algorithms Software and Applications The Handbook of Graph Drawing and Visualization provides a broad up-to-date survey of the field of graph drawing. It covers topological and geometric foundations algorithms software systems and visualization applications in business education science and engineering. Each chapter is self-contained and includes extensive references. The first several chapters of the book deal with fundamental topological and geometric concepts and techniques used in graph drawing such as planarity testing and embedding crossings and planarization symmetric drawings and proximity drawings. The following chapters present a large collection of algorithms for constructing drawings of graphs including tree planar straight-line planar orthogonal and polyline spine and radial circular rectangular hierarchical and three-dimensional drawings as well as labeling algorithms simultaneous embeddings and force-directed methods. The book then introduces the GraphML language for representing graphs and their drawings and describes three software systems for constructing drawings of graphs: OGDF GDToolkit and PIGALE. The final chapters illustrate the use of graph drawing methods in visualization applications for biological networks computer security data analytics education computer networks and social networks. Edited by a pioneer in graph drawing and with contributions from leaders in the graph drawing research community this handbook shows how graph drawing and visualization can be applied in the physical life and social sciences. Whether you are a mathematics researcher IT practitioner or software developer the book will help you understand graph drawing methods and graph visualization systems use graph drawing techniques in your research and incorporate graph drawing solutions in your products.

GBP 37.59
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