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Introduction to Policing Research: Taking Lessons from Practice
by Denise Martin Stephen TongThis book offers a first-hand insight into the work of policing scholars and the research that they undertake. Bringing together a range of leading scholars and drawing on a range of pressing topics, it introduces the diverse nature of policing research, and the ethical and practical challenges faced by policing researchers. Each chapter brings clarity to the concept of empirical research within policing, introduces readers to the theoretical explanations and assumptions that underpin the rational of research design in policing, as well as considering the limitations of research. Topics include: • research methods in police research; • police professionalisation; • police and diversity; • police leadership; • undercover policing; • police and vulnerability; • activist research; • social media and policing. This revised and expanded new edition includes more focus on the role of research in policing, police and academic partnerships and practitioners as researchers, as well as a brand new section offering international perspectives on policing research. Brimming with practical examples, case studies, key learning points and practical advice, this book is essential reading for Professional Policing students, as well as early-career researchers and those engaged with criminological research methods.
An Introduction to Political and Social Data Analysis (With R)
by Thomas M. HolbrookAn Introduction to Political and Social Data Analysis (With R) provides students with an accessible overview of practical data analysis while also providing a gentle introduction to R. By starting with statistics first and using just enough R code to generate results, this text helps students focus on learning how to do data analysis while slowly gaining confidence in using R as they progress through the material. This book is structured around learning by doing. Students can follow along in each chapter by reading about statistics and their applications in R, and then running the R code on their own as they work through contemporary political science and social science examples. Author Thomas M. Holbrook patiently explains each step in in the process, avoiding overly complicated jargon and commands. Exercises at the end of chapters feature both conceptual and calculation-based questions so students can check their understanding of data analysis and practice using R. At the end of the semester, students can confidently add skills in data analysis with R to their resumes.
An Introduction to Political and Social Data Analysis (With R)
by Thomas M. HolbrookAn Introduction to Political and Social Data Analysis (With R) provides students with an accessible overview of practical data analysis while also providing a gentle introduction to R. By starting with statistics first and using just enough R code to generate results, this text helps students focus on learning how to do data analysis while slowly gaining confidence in using R as they progress through the material. This book is structured around learning by doing. Students can follow along in each chapter by reading about statistics and their applications in R, and then running the R code on their own as they work through contemporary political science and social science examples. Author Thomas M. Holbrook patiently explains each step in in the process, avoiding overly complicated jargon and commands. Exercises at the end of chapters feature both conceptual and calculation-based questions so students can check their understanding of data analysis and practice using R. At the end of the semester, students can confidently add skills in data analysis with R to their resumes.
Introduction to Political Economy
by David N. Balaam Michael VesethHistory and overview of political economy
An Introduction to Political Economy
by Vincent BladenNewly revised by the author (1956), this text-book for beginning students is also designed for general readers who want to know what economics is and how economists think. It analyses the size and composition of the wage-earner in modern industry, Canadian public policy in relation to combines, and the the social problems of the special problems of the Canadian wheat-growing and newsprint industries. "...an interesting, instructive, and valuable book full of essential information."
Introduction to Political Economy: Introduction To Political Economy (Routledge Revivals)
by E. J. MishanFirst published in 1982, Introduction to Political Economy is a clear and concise introduction to the normative aspects of economics by one of the world’s leading authorities on the subject. In this highly readable book, Professor Mishan takes the student to the heart of the subject without recourse to algebra and with only the simplest of diagrams. The author carefully distinguishes the various meanings of the terms political economy, normative economics, welfare economics and allocative economics. He considers the standard allocation rules and the crucial concepts of consumer surplus and rent, which are so important to cost-benefit analysis, while then going on to resolve the paradoxes of the efficiency criterion. Lastly, Professor Mishan assesses both the social worth of radical conservatism, which is associated with the Chicago School of Economics, and the relevance of the modern theory of welfare economics to social welfare.
Introduction to Portfolio Theory
by Andre F. PeroldIntroductory note describing the basic building blocks of Markowitz's mean-variance portfolio theory.
An Introduction to Post-Keynesian and Marxian Theories of Value and Price (Routledge Library Editions: The History of Economic Thought)
by Peter M. LichtensteinPeter M. Lichtenstein believes that any social-economic theory of capitalism must begin with a theory of value and price. Dismissing the neoclassical school, he turns to post-Keynesian and Marxian economics with their coherent and consistent theories of value and price based on concrete objective circumstances. The development of these theories in the author’s aim because he believes that this approach comes much closer than neoclassical theory to capturing the essence of a capitalism economy. This book, first published in 1983, is addressed to economics students, especially to those studying microeconomics or the history of economic thought, and to economists seeking an overview of these issues.
Introduction to Private Equity: Venture, Growth, Lbo And Turn-around Capital (The Wiley Finance Series #506)
by Cyril DemariaIntroduction to Private Equity is a critical yet grounded guide to the private equity industry. Far more than just another introductory guide, the book blends academic rigour with practical experience to provide a critical perspective of the industry from a professional who has worked at many levels within the industry, including insurance, funds of funds, funds and portfolio companies. The book looks at private equity from the point of view of the individual or the business. How is a private business valued? How is the acquisition transaction processed? What are the due diligence issues that should be considered before moving ahead? A valuable insight to a rather opaque market. Introduction to Private Equity covers the private equity industry as a whole, highlighting its historical development in order to put its recent development into perspective. The book covers its organization, governance and function, then details the various segments within the industry, including LBO, Venture Capital, Mezzanine Financing, Growth Capital and beyond. Finally, it offers a framework to anticipate and understand its future developments. It provides a balanced perspective on the current corporate governance challenges which are affecting the industry and draws perspective to understand the evolution of the sector, following one of its major crises.
Introduction to Private Equity
by Cyril DemariaIntroduction to Private Equity is a critical yet grounded guide to the private equity industry. Far more than just another introductory guide, the book blends academic rigour with practical experience to provide a critical perspective of the industry from a professional who has worked at many levels within the industry, including insurance, funds of funds, funds and portfolio companies.The book looks at private equity from the point of view of the individual or the business. How is a private business valued? How is the acquisition transaction processed? What are the due diligence issues that should be considered before moving ahead? A valuable insight to a rather opaque market.Introduction to Private Equity covers the private equity industry as a whole, highlighting its historical development in order to put its recent development into perspective. The book covers its organization, governance and function, then details the various segments within the industry, including LBO, Venture Capital, Mezzanine Financing, Growth Capital and beyond. Finally, it offers a framework to anticipate and understand its future developments.It provides a balanced perspective on the current corporate governance challenges which are affecting the industry and draws perspective to understand the evolution of the sector, following one of its major crises.
Introduction to Private Equity, Debt and Real Assets: From Venture Capital to LBO, Senior to Distressed Debt, Immaterial to Fixed Assets (Wiley Finance)
by Cyril DemariaFully revised and updated to reflect changes in the private equity sector Building on and refining the content of previous editions, Introduction to Private Equity, Debt and Real Assets, Third Edition adopts the same logical, systematic, factual and long-term perspective on private markets (private equity, private debt and private real assets) combining academic rigour with extensive practical experience. The content has been fully revised to reflect developments and innovations in private markets, exploring new strategies, changes in structuring and the drive of new regulations. New sections have been added, covering fund raising and fund analysis, portfolio construction and risk measurement, as well as liquidity and start-up analysis. In addition, private debt and private real assets are given greater focus, with two new chapters analysing the current state of these evolving sectors. • Reflects the dramatic changes that have affected the private market industry, which is evolving rapidly, internationalizing and maturing fast • Provides a clear, synthetic and critical perspective of the industry from a professional who has worked at many levels within the industry • Approaches the private markets sector top-down, to provide a sense of its evolution and how the current situation has been built • Details the interrelations between investors, funds, fund managers and entrepreneurs This book provides a balanced perspective on the corporate governance challenges affecting the industry and draws perspectives on the evolution of the sector.
Introduction to Probability and Stochastic Processes with Applications
by Liliana Blanco Castañeda Viswanathan Arunachalam Selvamuthu DharmarajaAn easily accessible, real-world approach to probability and stochastic processesIntroduction to Probability and Stochastic Processes with Applications presents a clear, easy-to-understand treatment of probability and stochastic processes, providing readers with a solid foundation they can build upon throughout their careers. With an emphasis on applications in engineering, applied sciences, business and finance, statistics, mathematics, and operations research, the book features numerous real-world examples that illustrate how random phenomena occur in nature and how to use probabilistic techniques to accurately model these phenomena.The authors discuss a broad range of topics, from the basic concepts of probability to advanced topics for further study, including Itô integrals, martingales, and sigma algebras. Additional topical coverage includes:Distributions of discrete and continuous random variables frequently used in applicationsRandom vectors, conditional probability, expectation, and multivariate normal distributionsThe laws of large numbers, limit theorems, and convergence of sequences of random variablesStochastic processes and related applications, particularly in queueing systemsFinancial mathematics, including pricing methods such as risk-neutral valuation and the Black-Scholes formulaExtensive appendices containing a review of the requisite mathematics and tables of standard distributions for use in applications are provided, and plentiful exercises, problems, and solutions are found throughout. Also, a related website features additional exercises with solutions and supplementary material for classroom use. Introduction to Probability and Stochastic Processes with Applications is an ideal book for probability courses at the upper-undergraduate level. The book is also a valuable reference for researchers and practitioners in the fields of engineering, operations research, and computer science who conduct data analysis to make decisions in their everyday work.
Introduction to Problem-Based Learning
by Jos Moust P. Bouhuijs Hans SchmidtAre you a student about to enrol on a Problem-based Learning course? Or are you currently engaged in Problem-based Learning and want to get the most out of your course? Are you tutoring a course in Problem-based education? This book will help you understand this popular learning method. It enables students and teachers to experience the full potential of Problem-based Learning. Introduction to Problem-based Learning pays particular attention to the skills students need to operate within, as well as outside of Problem-based groups.
Introduction to Problem-Based Learning (Routledge-Noordhoff International Editions)
by Jos Moust Peter Bouhuijs Henk SchmidtIntroduction to Problem-based Learning teaches students how to work with the problem-based learning method, which requires mainly self-directed learning. Particular attention is given to the necessary skills to apply this method effectively. Why Introduction to Problem-based Llearning? • comprehensible introduction in the problem-based learning method • enables students to experience the full potential of this concept • discusses the use of digital devices Introduction to Problem-based learning provides students with the necessary skills to operate within as well as outside problem-based groups. It discusses issues like: How do you take on a problem? How do you collaborate with others? How do you deal with cultural diversity? How do you lead a tutorial group? How can you organize your studies best? Special attention is given to the use of computers, tablets and internet in a problem-based environment.
Introduction to Project Finance in Renewable Energy Infrastructure: Including Public-Private Investments and Non-Mature Markets
by Farid MohamadiWhat is project finance? What makes project or structured finance so relevant for large renewable energy infrastructure? Which vocabulary do I need to know in order to speak the same language during meetings with lawyers, investors, bankers and engineers? These questions and many more are answered throughout this book, offering real world examples to bridge the gap between theory and practice. The book details the role of each stakeholder in the development of renewable energy projects, the interconnection between all the agreements, the financial process from fundraising to financial close, the processes of due diligence, risk analysis, project investment valuation and much more. It also provides with an introduction to Portfolio Management using renewable energy assets and an explanation of the role of Climate Finance in green energy investments. The commented glossary enables readers to unpick the jargon used in project finance for renewable energy, and the numerous creative figures and comprehensive tables aid with understanding. Offering a complete picture of the discipline, Introduction to Project Finance in Renewable Energy Infrastructure will be of value to professionals, engineers and academics alike interested in understanding the process and components of project finance in renewable energy infrastructures, in both private and public-private contexts.
Introduction to Project Management: A Source Book for Traditional PM Basics
by Davies A. IgberaeseThis book presents the fundamentals of project management in simple language and an easy-to-understand format. It is targeted principally at those who are learning or desiring to learn project management as well as those who are already taking project management as a course of study or as a profession. It covers all the basic aspects of project management including the core areas prescribed by the Project Management Institute (PMI) in the Project Management Body of Knowledge (PMBOK) sixth edition. Although the PMBOK Guide seventh edition has significantly shifted focus from a process based standard to a principle based standard, it does not invalidate nor replace the detailed knowledge base contained in the sixth edition, which substantially emphasizes project management processes and knowledge areas. This is particularly apt for the traditional approach to project delivery, which is predictive in nature and has the bulk of the planning done upfront. The sections of the book are arranged in order of Project Management Processes as they fall within the respective Project Management Knowledge Areas. Experienced project manager, Davies Igberaese, presents all the basic content of traditional project management in a straightforward practical sequence as a typical project manager would go about the processes of initiating, planning, executing, monitoring, and closing a project without losing sight of the iterative nature of project management. The inclusion of Project Management Templates gives students and other users of the book the confidence required to effectively understand the basics of managing a wide variety of projects across disciplines including construction, building, industrial engineering, petroleum engineering, software engineering, information technology, business administration, and event management. Introduction to Project Management: A Source Book for Traditional PM Basics can serve as a core textbook for academic courses in project management, for preparing for PMP and CAPM Certification exams, as an excellent resource for new project managers, as well as a handy reference book for project sponsors.
An Introduction to Project Management
by Kathy SchwalbeThe fifth edition of An Introduction to Project Management provides a separate chapter for planning integration and scope management and for planning time and cost management. Additional examples are provided for creating work breakdown structures and schedules. It also includes information on Basecamp, a free web-based project management tool, along with a user guide (replaces AtTask in Appendix B). In addition to updating many references and examples, this edition continues to include several popular features: - Follows the Project Management Institute's PMBOK® Guide, Fifth Edition (2013) - Has chapters for each process group and a comprehensive case study to illustrate applying tools and techniques throughout the project life cycle - Includes a Guide for using Microsoft Project 2013 - Provides a free trial of MatchWare's MindView Business software (www.matchware.com/intropm), a tool for creating mind maps, Gantt charts, and other project documents - Uses real-world examples and references, including opening cases and case wrap-ups, examples of what went right, what went wrong, media snapshots, best practices, and video highlights in each chapter - End of chapter materials include chapter summaries, quick quizzes, discussion questions, and exercises, with case studies provided in Appendix C -Comprehensive, secure instructor site available with lecture slides, solution files, test banks, etc. -Free Web site includes over fifty template files, online quizzes and games, data files for Project 2013, links to sites mentioned in the text, and much more.
An Introduction to Project Modeling and Planning (Springer Texts in Business and Economics)
by Gündüz Ulusoy Öncü HazırThis textbook teaches the basic concepts and methods of project management, but also explains how to convert it to useful results in practice. Project management offers a promising working area for theoretical and practical applications, and developing software and decision support systems (DSS). This book specifically focuses on project planning and control, with an emphasis on mathematical modeling. Models and algorithms establish a good starting point for students to study the relevant literature and support pursuing academic work in related fields. The book provides an introduction to theoretical concepts, and it also provides detailed explanations, application examples and case studies that deal with real life problems. The chapter topics include questions that underlie critical thinking, interpretation, analytics, and making comparisons. Learning outcomes are defined and the content of the book is structured in accordance with these goals. Chapter 1 begins by introducing the basic concepts, methods and processes of project management. Chapter 2 explores the fundamentals of organizing and managing projects from an organization’s perspective. Issues related to project team formation, role of project managers, and matrix organization are discussed. Chapter 3 is devoted to project modeling and planning. It explains how to collect proper data in order to perform an analysis and develop mathematical models. Chapter 4 introduces deterministic scheduling models, which can be used in constructing the time schedules. Models employing time-based and finance-based objectives are introduced. Chapter 5 focuses on the time/cost trade-off problem, explaining how to reduce the duration of some of the activities and therefore accelerate the project duration at the expense of additional costs. Chapter 6 introduces different resource management policies including resource portfolio management. Chapter 7 discusses models and methods of scheduling in case of uncertainty models and methods of scheduling in case of uncertainty. Chapter 8 highlights contract types and payment schedules. It explores identification and allocation of risk in contracts, project control issues, disputes and resolution management. Different models and decision support systems are presented in Chapter 9 in order to investigate client-contractor negotiations and the bidding process from different aspects. Chapter 10 covers monitoring and control, mainly the processes and methods behind them. Chapter 11 brings together qualitative and quantitative techniques with simulation and software applications. The design of a risk management process is introduced in detail and at the hand of a case study. Chapter 12 examines several models and approaches of uncertainty in project scheduling, dealing with various aspects of stochastic nature of the decision environment and robustness. Chapter 13 explains the mathematical formulation and solution procedures for resource constrained project scheduling. The project selection problem is inherently a multi-objective problem and is treated as such in Chapter 14. Several models and solution techniques including robust selection methods are introduced. Finally Chapter 15 evaluates recent approaches and promising research areas in project management including strategic project management, agile approaches, and data management in project modeling in the big data era.
Introduction to Property Valuation in Australia
by David ParkerThis book provides an easy-to-follow introduction to the principal methods of property valuation in Australia within the context of International Valuation Standards, so bridging the gap between traditional property valuation methods and the modern era of global valuation governance. Providing a framework for valuation practice, the book outlines the property asset class, the role of valuation, concepts of value and valuation standards before focusing on the instructing, undertaking and reporting aspects of the valuation process. The market approach to valuation is addressed through the comparative method of valuation with the income approach addressed through the capitalisation of income, discounted cash flow and profits methods of valuation and the cost approach addressed through the replacement cost, reproduction cost and residual or hypothetical development methods of valuation. As an introductory textbook on property valuation methods, this book is a companion to Australia’s leading advanced valuation textbook, Principles and Practice of Property Valuation in Australia edited by the same author and also published by Routledge, which is a more advanced text considering key principles underlying property valuation and current techniques and issues in the practice of property valuation for major sectors of the Australian property market. The most up-to-date valuation text book for the Australian market, this book will appeal to both valuation practitioners and undergraduate/postgraduate students as well as to accountants, auditors, lawyers, lenders and all professionals dealing with property valuation issues.
Introduction to Psychometric Theory
by George A. Marcoulides Tenko RaykovThis new text provides a state-of the-art introduction to educational and psychological testing and measurement theory that reflects many intellectual developments of the past two decades. The book introduces psychometric theory using a latent variable modeling (LVM) framework and emphasizes interval estimation throughout, so as to better prepare readers for studying more advanced topics later in their careers. Featuring numerous examples, it presents an applied approach to conducting testing and measurement in the behavioral, social, and educational sciences. Readers will find numerous tips on how to use test theory in today's actual testing situations. To reflect the growing use of statistical software in psychometrics, the authors introduce the use of Mplus after the first few chapters. IBM SPSS, SAS, and R are also featured in several chapters. Software codes and associated outputs are reviewed throughout to enhance comprehension. Essentially all of the data used in the book are available on the website. In addition instructors will find helpful PowerPoint lecture slides and questions and problems for each chapter. The authors rely on LVM when discussing fundamental concepts such as exploratory and confirmatory factor analysis, test theory, generalizability theory, reliability and validity, interval estimation, nonlinear factor analysis, generalized linear modeling, and item response theory. The varied applications make this book a valuable tool for those in the behavioral, social, educational, and biomedical disciplines, as well as in business, economics, and marketing. A brief introduction to R is also provided. Intended as a text for advanced undergraduate and/or graduate courses in psychometrics, testing and measurement, measurement theory, psychological testing, and/or educational and/or psychological measurement taught in departments of psychology, education, human development, epidemiology, business, and marketing, it will also appeal to researchers in these disciplines. Prerequisites include an introduction to statistics with exposure to regression analysis and ANOVA. Familiarity with SPSS, SAS, STATA, or R is also beneficial. As a whole, the book provides an invaluable introduction to measurement and test theory to those with limited or no familiarity with the mathematical and statistical procedures involved in measurement and testing.
Introduction to Python for Humanists (Chapman & Hall/CRC The Python Series)
by William MattinglyThis book will introduce digital humanists at all levels of education to Python. It provides background and guidance on learning the Python computer programming language, and as it presumes no knowledge on the part of the reader about computers or coding concepts allows the reader to gradually learn the more complex tasks that are currently popular in the field of digital humanities. This book will be aimed at undergraduates, graduates, and faculty who are interested in learning how to use Python as a tool within their workflow. An Introduction to Python for Digital Humanists will act as a primer for students who wish to use Python, allowing them to engage with more advanced textbooks. This book fills a real need, as it is first Python introduction to be aimed squarely at humanities students, as other books currently available do not approach Python from a humanities perspective. It will be designed so that those experienced in Python can teach from it, in addition to allowing those who are interested in being self-taught can use it for that purpose.Key Features: Data analysis Data science Computational humanities Digital humanities Python Natural language processing Social network analysis App development
Introduction to Python Programming for Business and Social Science Applications
by Paul Kaefer Frederick KaeferWould you like to gather big datasets, analyze them, and visualize the results, all in one program? If this describes you, then Introduction to Python Programming for Business and Social Science Applications is the book for you. Authors Frederick Kaefer and Paul Kaefer walk you through each step of the Python package installation and analysis process, with frequent exercises throughout so you can immediately try out the functions you’ve learned. Written in straightforward language for those with no programming background, this book will teach you how to use Python for your research and data analysis. Instead of teaching you the principles and practices of programming as a whole, this application-oriented text focuses on only what you need to know to research and answer social science questions. The text features two types of examples, one set from the General Social Survey and one set from a large taxi trip dataset from a major metropolitan area, to help readers understand the possibilities of working with Python. Chapters on installing and working within a programming environment, basic skills, and necessary commands will get you up and running quickly, while chapters on programming logic, data input and output, and data frames help you establish the basic framework for conducting analyses. Further chapters on web scraping, statistical analysis, machine learning, and data visualization help you apply your skills to your research. More advanced information on developing graphical user interfaces (GUIs) help you create functional data products using Python to inform general users of data who don’t work within Python. First there was IBM® SPSS®, then there was R, and now there′s Python. Statistical software is getting more aggressive - let authors Frederick Kaefer and Paul Kaefer help you tame it with Introduction to Python Programming for Business and Social Science Applications.
Introduction to Python Programming for Business and Social Science Applications
by Paul Kaefer Frederick KaeferWould you like to gather big datasets, analyze them, and visualize the results, all in one program? If this describes you, then Introduction to Python Programming for Business and Social Science Applications is the book for you. Authors Frederick Kaefer and Paul Kaefer walk you through each step of the Python package installation and analysis process, with frequent exercises throughout so you can immediately try out the functions you’ve learned. Written in straightforward language for those with no programming background, this book will teach you how to use Python for your research and data analysis. Instead of teaching you the principles and practices of programming as a whole, this application-oriented text focuses on only what you need to know to research and answer social science questions. The text features two types of examples, one set from the General Social Survey and one set from a large taxi trip dataset from a major metropolitan area, to help readers understand the possibilities of working with Python. Chapters on installing and working within a programming environment, basic skills, and necessary commands will get you up and running quickly, while chapters on programming logic, data input and output, and data frames help you establish the basic framework for conducting analyses. Further chapters on web scraping, statistical analysis, machine learning, and data visualization help you apply your skills to your research. More advanced information on developing graphical user interfaces (GUIs) help you create functional data products using Python to inform general users of data who don’t work within Python. First there was IBM® SPSS®, then there was R, and now there′s Python. Statistical software is getting more aggressive - let authors Frederick Kaefer and Paul Kaefer help you tame it with Introduction to Python Programming for Business and Social Science Applications.
An Introduction to Quantitative Economics (Routledge Library Editions: Econometrics #8)
by Brian HainesOriginally published in 1978. This book is designed to enable students on main courses in economics to comprehend literature which employs econometric techniques as a method of analysis, to use econometric techniques themselves to test hypotheses about economic relationships and to understand some of the difficulties involved in interpreting results. While the book is mainly aimed at second-year undergraduates undertaking courses in applied economics, its scope is sufficiently wide to take in students at postgraduate level who have no background in econometrics - it integrates fully the mathematical and statistical techniques used in econometrics with micro- and macroeconomic case studies.
Introduction to Quantitative Methods for Financial Markets
by Hansjoerg Albrecher Volkmar Lautscham Andreas Binder Philipp MayerSwaps, futures, options, structured instruments - a wide range of derivative products is traded in today's financial markets. Analyzing, pricing and managing such products often requires fairly sophisticated quantitative tools and methods. This book serves as an introduction to financial mathematics with special emphasis on aspects relevant in practice. In addition to numerous illustrative examples, algorithmic implementations are demonstrated using "Mathematica" and the software package "UnRisk" (available for both students and teachers). The content is organized in 15 chapters that can be treated as independent modules. In particular, the exposition is tailored for classroom use in a Bachelor or Master program course, as well as for practitioners who wish to further strengthen their quantitative background.