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Flight Dynamics Simulation and Control For Rigid and Flexible Aircraft

The East Asian Model Transformation and Sustainability

The Nordic Model of Digital Archiving

GBP 130.00
1

A Factor Model Approach to Derivative Pricing

A Factor Model Approach to Derivative Pricing

Written in a highly accessible style A Factor Model Approach to Derivative Pricing lays a clear and structured foundation for the pricing of derivative securities based upon simple factor model related absence of arbitrage ideas. This unique and unifying approach provides for a broad treatment of topics and models including equity interest-rate and credit derivatives as well as hedging and tree-based computational methods but without reliance on the heavy prerequisites that often accompany such topics. Key features A single fundamental absence of arbitrage relationship based on factor models is used to motivate all the results in the book A structured three-step procedure is used to guide the derivation of absence of arbitrage equations and illuminate core underlying concepts Brownian motion and Poisson process driven models are treated together allowing for a broad and cohesive presentation of topics The final chapter provides a new approach to risk neutral pricing that introduces the topic as a seamless and natural extension of the factor model approach Whether being used as text for an intermediate level course in derivatives or by researchers and practitioners who are seeking a better understanding of the fundamental ideas that underlie derivative pricing readers will appreciate the book‘s ability to unify many disparate topics and models under a single conceptual theme. James A Primbs is an Associate Professor of Finance at the Mihaylo College of Business and Economics at California State University Fullerton.

GBP 175.00
1

Forecasting and Analytics with the Augmented Dynamic Adaptive Model (ADAM)

Forecasting and Analytics with the Augmented Dynamic Adaptive Model (ADAM)

Forecasting and Analytics with the Augmented Dynamic Adaptive Model (ADAM) focuses on a time series model in Single Source of Error state space form called “ADAM” (Augmented Dynamic Adaptive Model). The book demonstrates a holistic view to forecasting and time series analysis using dynamic models explaining how a variety of instruments can be used to solve real life problems. At the moment there is no other tool in R or Python that would be able to model both intermittent and regular demand would support both ETS and ARIMA work with explanatory variables be able to deal with multiple seasonalities (e. g. for hourly demand data) and have a support for automatic selection of orders components and variables and provide tools for diagnostics and further improvement of the estimated model. ADAM can do all of that in one and the same framework. Given the rising interest in forecasting ADAM being able to do all those things is a useful tool for data scientists business analysts and machine learning experts who work with time series as well as any researchers working in the area of dynamic models. Key Features: • It covers basics of forecasting • It discusses ETS and ARIMA models • It has chapters on extensions of ETS and ARIMA including how to use explanatory variables and how to capture multiple frequencies • It discusses intermittent demand and scale models for ETS ARIMA and regression • It covers diagnostics tools for ADAM and how to produce forecasts with it • It does all of that with examples in R.

GBP 89.99
1

Ideology and Rationality in the Soviet Model A legacy for Gorbachev

An Integrated Infrastructure Delivery Model for Developing Economies Planning and Delivery Management Attributes

An Integrated Infrastructure Delivery Model for Developing Economies Planning and Delivery Management Attributes

This book explores the attributes of an integrated model for infrastructure delivery as a means to achieve high impact investing sustainable growth and development in a developing economy. An Integrated Infrastructure Delivery Model for Developing Economies: Planning and Delivery Management Attributes is premised on the understanding that one of the most significant barriers to efficient and effective infrastructure delivery is the nature and extent of fragmentation in the ways in which infrastructure projects are planned designed and delivered. Using a Delphi method the research presented in this book examines the infrastructure delivery models and practices that have been employed in South Africa and other developing countries and in doing so presents eight attributes for integrated infrastructure delivery. These are: (i) developing a common vision for the community (ii) stakeholder participation (iii) integrated project development and scoping (iv) access to planning information (v) cross-sectoral planning (vi) integrated infrastructure master plans (vii) statutory and regulatory compliance and (viii) integrated contractual frameworks. The book presents a practical model that can serve as a guide and a manual for project planning and development to achieve integrated infrastructure delivery in developing economies. The proposed model should serve as a framework to inform future planning and programming of infrastructure projects within the public sector space. Furthermore the application of the model will help resolve the problems of fragmentation and lack of coordination in how infrastructure projects are planned and implemented. This book will be beneficial to infrastructure practitioners policymakers researchers and academics who pursue best practice models to improve the delivery and management of infrastructure. | An Integrated Infrastructure Delivery Model for Developing Economies Planning and Delivery Management Attributes

GBP 150.00
1

Dance Movement Therapy and Psycho-social Rehabilitation The Sampoornata Model

Creating Mixed Model Value Streams Practical Lean Techniques for Building to Demand Second Edition

Creating Mixed Model Value Streams Practical Lean Techniques for Building to Demand Second Edition

Following in the footsteps of its bestselling predecessor Kevin J. Duggan an executive mentor and recognized authority on Lean and Operational Excellence draws on more than 10 years of experience and learning to provide Creating Mixed Model Value Streams Second Edition. This second edition takes a step-by-step approach to implementing Lean in complex environments and describes which Lean techniques to use when faced with difficult situations—including high product mix scheduling problems shared resources and unstable customer demand. In addition to a new section on handling shared resources to support mixed model production the second edition: Contains updates to sections on mixed model value streamsIntroduces new information on constructing product family matrices Expands on the concept of takt in mixed models Provides additional insights on existing mixed model concepts such as determining product family takt capability and heijunka (load level scheduling)Presents new concepts on sequencing work such as offset scheduling and sequenced first-in first-out (FIFO) lanesIllustrated with a case study based on actual experience as well as downloadable resources with helpful tools the book walks readers through the reasoning the author has used with great success in practice. It delves beyond the basics of value stream mapping to explain how to create future states in a manufacturing environment characterized by multiple products varying cycle times and changing demand. Demonstrating advanced techniques for creating flow through shared resources it also considers the concept of a guaranteed turnaround time for the shared resource. The Downloadable Resources Include:Spreadsheet and tutorial for sorting products into familiesSpreadsheets for calculating equipment required and for determining the interval for Every Part Every Interval (EPEI)Samples of visual method sheets for standard workCase study value stream maps and mapping icons | Creating Mixed Model Value Streams Practical Lean Techniques for Building to Demand Second Edition

GBP 175.00
1

Designing Experiments and Analyzing Data A Model Comparison Perspective Third Edition

Designing Experiments and Analyzing Data A Model Comparison Perspective Third Edition

Designing Experiments and Analyzing Data: A Model Comparison Perspective (3rd edition) offers an integrative conceptual framework for understanding experimental design and data analysis. Maxwell Delaney and Kelley first apply fundamental principles to simple experimental designs followed by an application of the same principles to more complicated designs. Their integrative conceptual framework better prepares readers to understand the logic behind a general strategy of data analysis that is appropriate for a wide variety of designs which allows for the introduction of more complex topics that are generally omitted from other books. Numerous pedagogical features further facilitate understanding: examples of published research demonstrate the applicability of each chapter’s content; flowcharts assist in choosing the most appropriate procedure; end-of-chapter lists of important formulas highlight key ideas and assist readers in locating the initial presentation of equations; useful programming code and tips are provided throughout the book and in associated resources available online and extensive sets of exercises help develop a deeper understanding of the subject. Detailed solutions for some of the exercises and realistic data sets are included on the website (DesigningExperiments. com). The pedagogical approach used throughout the book enables readers to gain an overview of experimental design from conceptualization of the research question to analysis of the data. The book and its companion website with web apps tutorials and detailed code are ideal for students and researchers seeking the optimal way to design their studies and analyze the resulting data. | Designing Experiments and Analyzing Data A Model Comparison Perspective Third Edition

GBP 100.00
1

Aircraft Performance An Engineering Approach

Masculinity Meets Humanity An Adapted Model of Masculinised Psychotherapy

Trusting Recovery and Desistance The Social Components Model of Recovery from Addiction and Desistance from Crime

Trusting Recovery and Desistance The Social Components Model of Recovery from Addiction and Desistance from Crime

The social processes which underpin and shape our lives have the power to significantly transform the trajectories of people experiencing recovery from addiction and desistance from crime. Recovery from addiction and desistance from crime are processes which are often experienced and supported in the same physical spaces and are also frequently experienced by the same people. This book therefore synthesises and presents research on the social influences of recovery and desistance. This book presents the social component model of recovery from addiction and desistance from crime: a strength-based approach presenting case studies to better understand the social factors of both recovery from addiction and desistance from crime and therefore a step towards enhancing evidence-based policy and practice. The social components that have emerged and will be discussed within this book include relationships and social bonds; social identity group membership and social networks; and social capital. Compiled based on observations interviews and social identity mapping methods this work combines and presents theory and research to enhance and strengthen the evidence available for people who are already teaching about supporting and experiencing both desistance from crime and recovery from addiction in practice. | Trusting Recovery and Desistance The Social Components Model of Recovery from Addiction and Desistance from Crime

GBP 130.00
1

Handbook of Bowen Family Systems Theory and Research Methods A Systems Model for Family Research

Developing a Model for Culturally Responsive Experiential Education Teachers as Allies in Student Journeys of Decolonization

Developing a Model for Culturally Responsive Experiential Education Teachers as Allies in Student Journeys of Decolonization

This book provides a new empirically informed framework designed to equip higher education faculty with the tools to help students engage in humanizing mutually beneficial and anti-colonial experiential education alongside other students and communities around the world. The author maps the conceptual development of culturally responsive experiential education (CREE) as a novel framework situated at the nexus of culturally responsive research methodologies the Indigenous research paradigm critical service learning and critical pedagogy in experiential education. The chapters detail qualitative research findings from an undergraduate CREE program in rural Fiji to illustrate the implementation of the novel CREE framework and discuss post-program possibilities based on the research study findings. Situated in narrative inquiry the book also includes interspersed participant vignettes in order to center student voices and illuminate the research study findings. With attention to themes including emergent critical consciousness critical allyship and personal journeys of decolonization as experienced through the CREE framework it will be of benefit to both education scholars and higher education faculty interested in experiential education and culturally responsive pedagogies. | Developing a Model for Culturally Responsive Experiential Education Teachers as Allies in Student Journeys of Decolonization

GBP 130.00
1

Getting Started in 3D with 3ds Max Model Texture Rig Animate and Render in 3ds Max

Electric and Electronic Circuit Simulation using TINA-TI

Assistive Technology Assessment Handbook

Transport Systems and Processes Marine Navigation and Safety of Sea Transportation

Practical Guide to Logistic Regression

Practical Guide to Logistic Regression

Practical Guide to Logistic Regression covers the key points of the basic logistic regression model and illustrates how to use it properly to model a binary response variable. This powerful methodology can be used to analyze data from various fields including medical and health outcomes research business analytics and data science ecology fisheries astronomy transportation insurance economics recreation and sports. By harnessing the capabilities of the logistic model analysts can better understand their data make appropriate predictions and classifications and determine the odds of one value of a predictor compared to another. Drawing on his many years of teaching logistic regression using logistic-based models in research and writing about the subject Professor Hilbe focuses on the most important features of the logistic model. Serving as a guide between the author and readers the book explains how to construct a logistic model interpret coefficients and odds ratios predict probabilities and their standard errors based on the model and evaluate the model as to its fit. Using a variety of real data examples mostly from health outcomes the author offers a basic step-by-step guide to developing and interpreting observation and grouped logistic models as well as penalized and exact logistic regression. He also gives a step-by-step guide to modeling Bayesian logistic regression. R statistical software is used throughout the book to display the statistical models while SAS and Stata codes for all examples are included at the end of each chapter. The example code can be adapted to readers own analyses. All the code is available on the author‘s website.

GBP 175.00
1

Small and Short-Range Radar Systems

Small and Short-Range Radar Systems

Radar Expert Esteemed Author Gregory L. Charvat on CNN and CBS Author Gregory L. Charvat appeared on CNN on March 17 2014 to discuss whether Malaysia Airlines Flight 370 might have literally flown below the radar. He appeared again on CNN on March 20 2014 to explain the basics of radar and he explored the hope and limitations of the technology involved in the search for Flight 370 on CBS on March 22 2014. Get His Book Now Coupling theory with reality from derivation to implementation of actual radar systems Small and Short-Range Radar Systems analyzes and then provides design procedures and working design examples of small and short-range radar systems. Discussing applications from automotive to through-wall imaging autonomous vehicle and beyond the practical text supplies high-level descriptions theoretical derrivations back-of-envelope calculations explanations of processing algorithms and case studies for each type of small radar system covered including continuous wave (CW) ultrawideband (UWB) impulse linear frequency modulation (FM) linear rail synthetic aperture radar (SAR) and phased array. This essential reference: Explains how to design your own radar devices Demonstrates how to process data from small radar sensors Provides real-world measured radar data to test algorithms before investing development time Complete with downloadable MATLAB® scripts and actual radar measurements Small and Short-Range Radar Systems empowers you to rapidly develop small radar technology for your application.

GBP 89.99
1

Vibration Control of Vehicle Suspension Systems

Academic Achievement in Bilingual and Immersion Education TransAcquisition Pedagogy and Curriculum Design

Understanding Ethnic Conflict