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The BUGS Book A Practical Introduction to Bayesian Analysis

The BUGS Book A Practical Introduction to Bayesian Analysis

Bayesian statistical methods have become widely used for data analysis and modelling in recent years and the BUGS software has become the most popular software for Bayesian analysis worldwide. Authored by the team that originally developed this software The BUGS Book provides a practical introduction to this program and its use. The text presents complete coverage of all the functionalities of BUGS including prediction missing data model criticism and prior sensitivity. It also features a large number of worked examples and a wide range of applications from various disciplines. The book introduces regression models techniques for criticism and comparison and a wide range of modelling issues before going into the vital area of hierarchical models one of the most common applications of Bayesian methods. It deals with essentials of modelling without getting bogged down in complexity. The book emphasises model criticism model comparison sensitivity analysis to alternative priors and thoughtful choice of prior distributions all those aspects of the art of modelling that are easily overlooked in more theoretical expositions. More pragmatic than ideological the authors systematically work through the large range of tricks that reveal the real power of the BUGS software for example dealing with missing data censoring grouped data prediction ranking parameter constraints and so on. Many of the examples are biostatistical but they do not require domain knowledge and are generalisable to a wide range of other application areas. Full code and data for examples exercises and some solutions can be found on the book‘s website. | The BUGS Book A Practical Introduction to Bayesian Analysis

GBP 180.00
1

Object-Orientation Abstraction and Data Structures Using Scala

Object-Orientation Abstraction and Data Structures Using Scala

Praise for the first edition: The well-written comprehensive book [is] aiming to become a de facto reference for the language and its features and capabilities. The pace is appropriate for beginners; programming concepts are introduced progressively through a range of examples and then used as tools for building applications in various domains including sophisticated data structures and algorithms Highly recommended. Students of all levels faculty and professionals/practitioners. D. Papamichail University of Miami in CHOICE Magazine Mark Lewis Introduction to the Art of Programming Using Scala was the first textbook to use Scala for introductory CS courses. Fully revised and expanded the new edition of this popular text has been divided into two books. Object-Orientation Abstraction and Data Structures Using Scala Second Edition is intended to be used as a textbook for a second or third semester course in Computer Science. The Scala programming language provides powerful constructs for expressing both object orientation and abstraction. This book provides students with these tools of object orientation to help them structure solutions to larger more complex problems and to expand on their knowledge of abstraction so that they can make their code more powerful and flexible. The book also illustrates key concepts through the creation of data structures showing how data structures can be written and the strengths and weaknesses of each one. Libraries that provide the functionality needed to do real programming are also explored in the text including GUIs multithreading and networking. The book is filled with end-of-chapter projects and exercises and the authors have also posted a number of different supplements on the book website. Video lectures for each chapter in the book are also available on YouTube. The videos show constr

GBP 180.00
1

Applications of Differential Transform to Real World Problems

Constrained Optimization In The Calculus Of Variations and Optimal Control Theory

Statistical Modeling and Machine Learning for Molecular Biology

A Concise Introduction to Statistical Inference

Handbook of Radar Signal Analysis

Handbook of Radar Signal Analysis

This new handbook on radar signal analysis adopts a deliberate and systematic approach. It uses a clear and consistent level of delivery while maintaining strong and easy-to-follow mathematical details. The emphasis of this book is on radar signal types and their relevant signal processing and not on radar systems hardware or components. This handbook serves as a valuable reference to a wide range of audience. More specifically college-level students practicing radar engineers as well as casual readers of the subject are the intended target audience of the first few chapters of this book. As the book chapters progress these grow in complexity and specificity. Accordingly later chapters are intended for practicing engineers graduate college students and advanced readers. Finally the last few chapters contain several special topics on radar systems that are both educational and scientifically entertaining to all readers. The presentation of topics in this handbook takes the reader on a scientific journey whose major landmarks comprise the different radar subsystems and components. In this context the chapters follow the radar signal along this journey from its birth to the end of its life. Along the way the different relevant radar subsystems are analyzed and discussed in great detail. The chapter contributors of this new handbook comprise experienced academia members and practicing radar engineers. Their combined years of academic and real-world experiences are in excess of 175. Together they bring a unique easy-to-follow mix of mathematical and practical presentations of the topics discussed in this book. See the Chapter Contributors section to learn more about these individuals. | Handbook of Radar Signal Analysis

GBP 180.00
1

Elements of Parallel Computing

Graphical Methods for Data Analysis

Handbook of Discrete and Computational Geometry

Method of Averaging for Differential Equations on an Infinite Interval Theory and Applications

The New S Language

Multilevel Modeling Using Mplus

Semigroups of Bounded Operators and Second-Order Elliptic and Parabolic Partial Differential Equations

Spatial Dynamics and Pattern Formation in Biological Populations

Spatial Dynamics and Pattern Formation in Biological Populations

The book provides an introduction to deterministic (and some stochastic) modeling of spatiotemporal phenomena in ecology epidemiology and neural systems. A survey of the classical models in the fields with up to date applications is given. The book begins with detailed description of how spatial dynamics/diffusive processes influence the dynamics of biological populations. These processes play a key role in understanding the outbreak and spread of pandemics which help us in designing the control strategies from the public health perspective. A brief discussion on the functional mechanism of the brain (single neuron models and network level) with classical models of neuronal dynamics in space and time is given. Relevant phenomena and existing modeling approaches in ecology epidemiology and neuroscience are introduced which provide examples of pattern formation in these models. The analysis of patterns enables us to study the dynamics of macroscopic and microscopic behaviour of underlying systems and travelling wave type patterns observed in dispersive systems. Moving on to virus dynamics authors present a detailed analysis of different types models of infectious diseases including two models for influenza five models for Ebola virus and seven models for Zika virus with diffusion and time delay. A Chapter is devoted for the study of Brain Dynamics (Neural systems in space and time). Significant advances made in modeling the reaction-diffusion systems are presented and spatiotemporal patterning in the systems is reviewed. Development of appropriate mathematical models and detailed analysis (such as linear stability weakly nonlinear analysis bifurcation analysis control theory numerical simulation) are presented. Key Features Covers the fundamental concepts and mathematical skills required to analyse reaction-diffusion models for biological populations. Concepts are introduced in such a way that readers with a basic knowledge of differential equations and numerical methods can understand the analysis. The results are also illustrated with figures. Focuses on mathematical modeling and numerical simulations using basic conceptual and classic models of population dynamics Virus and Brain dynamics. Covers wide range of models using spatial and non-spatial approaches. Covers single two and multispecies reaction-diffusion models from ecology and models from bio-chemistry. Models are analysed for stability of equilibrium points Turing instability Hopf bifurcation and pattern formations. Uses Mathematica for problem solving and MATLAB for pattern formations. Contains solved Examples and Problems in Exercises. The Book is suitable for advanced undergraduate graduate and research students. For those who are working in the above areas it provides information from most of the recent works. The text presents all the fundamental concepts and mathematical skills needed to build models and perform analyses. | Spatial Dynamics and Pattern Formation in Biological Populations

GBP 205.00
1

From Computing to Computational Thinking

A Handbook of Statistical Analyses using SAS

Beyond First Order Model Theory Volume I and II

Beyond First Order Model Theory Volume I and II

Model theory is the meta-mathematical study of the concept of mathematical truth. After Afred Tarski coined the term Theory of Models in the early 1950’s it rapidly became one of the central most active branches of mathematical logic. In the last few decades ideas that originated within model theory have provided powerful tools to solve problems in a variety of areas of classical mathematics including algebra combinatorics geometry number theory and Banach space theory and operator theory. The two volumes of Beyond First Order Model Theory present the reader with a fairly comprehensive vista rich in width and depth of some of the most active areas of contemporary research in model theory beyond the realm of the classical first-order viewpoint. Each chapter is intended to serve both as an introduction to a current direction in model theory and as a presentation of results that are not available elsewhere. All the articles are written so that they can be studied independently of one another. The first volume is an introduction to current trends in model theory and contains a collection of articles authored by top researchers in the field. It is intended as a reference for students as well as senior researchers. This second volume contains introductions to real-valued logic and applications abstract elementary classes and applications interconnections between model theory and function spaces nonstucture theory and model theory of second-order logic. Features A coherent introduction to current trends in model theory. Contains articles by some of the most influential logicians of the last hundred years. No other publication brings these distinguished authors together. Suitable as a reference for advanced undergraduate postgraduates and researchers. Material presented in the book (e. g abstract elementary classes first-order logics with dependent sorts and applications of infinitary logics in set theory) is not easily accessible in the current literature. The various chapters in the book can be studied independently. | Beyond First Order Model Theory Volume I and II

GBP 230.00
1

Handbook of Differential Equations

Simple Extensions with the Minimum Degree Relations of Integral Domains

A Handbook of Statistical Analyses using R

Self Assembly The Science of Things That Put Themselves Together

Introduction to the Art of Programming Using Scala

Essentials Engineering Mathematics

Essentials Engineering Mathematics

First published in 1992 Essentials of Engineering Mathematics is a widely popular reference ideal for self-study review and fast answers to specific questions. While retaining the style and content that made the first edition so successful the second edition provides even more examples new material and most importantly an introduction to using two of the most prevalent software packages in engineering: Maple and MATLAB. Specifically this edition includes:Introductory accounts of Maple and MATLAB that offer a quick start to using symbolic software to perform calculations explore the properties of functions and mathematical operations and generate graphical outputNew problems involving the mean value theorem for derivativesExtension of the account of stationary points of functions of two variablesThe concept of the direction field of a first-order differential equationIntroduction to the delta function and its use with the Laplace transformThe author includes all of the topics typically covered in first-year undergraduate engineering mathematics courses organized into short easily digestible sections that make it easy to find any subject of interest. Concise right-to-the-point exposition a wealth of examples and extensive problem sets at the end each chapter-with answers at the end of the book-combine to make Essentials of Engineering Mathematics Second Edition ideal as a supplemental textbook for self-study and as a quick guide to fundamental concepts and techniques. | Essentials Engineering Mathematics

GBP 180.00
1