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Introduction to Sport Marketing: Second edition (Sport Management Series)
by Aaron C.T. Smith Bob StewartIntroduction to Sport Marketing is an accessible and engaging introduction to key concepts and best practice in sport marketing. Aimed at students with little or no prior knowledge of marketing, the book outlines a step-by-step framework for effective sport marketing, from conducting market analysis and developing a strategy, through to detailed planning and implementation. The book has a wider scope than other sport marketing textbooks, recognising that students are just as likely to have to employ their marketing skills in community sport or the not-for-profit sector as in professional sport, and therefore represents the most realistic and useful sport marketing text currently available. Now in a fully revised and updated second edition, the book has expanded coverage of digital and social media, product innovation, services and relationship marketing, and key contemporary issues such as social responsibility and sustainability. It features a much wider range of international cases and examples, covering North America, Europe, and the vibrant and rapidly developing sport markets in Asia-Pacific, the Middle East and Latin America. Every chapter includes a range of useful features to help the reader to engage with fundamental principles and applied practice, such as problem-solving exercises and review questions. Introduction to Sport Marketing is an essential textbook for any degree-level sport marketing course.
Introduction to Statistical Methods for Financial Models (Chapman & Hall/CRC Texts in Statistical Science)
by Thomas A SeveriniThis book provides an introduction to the use of statistical concepts and methods to model and analyze financial data. The ten chapters of the book fall naturally into three sections. Chapters 1 to 3 cover some basic concepts of finance, focusing on the properties of returns on an asset. Chapters 4 through 6 cover aspects of portfolio theory and the methods of estimation needed to implement that theory. The remainder of the book, Chapters 7 through 10, discusses several models for financial data, along with the implications of those models for portfolio theory and for understanding the properties of return data. The audience for the book is students majoring in Statistics and Economics as well as in quantitative fields such as Mathematics and Engineering. Readers are assumed to have some background in statistical methods along with courses in multivariate calculus and linear algebra.
Introduction to Statistical Process Control (Chapman & Hall/CRC Texts in Statistical Science)
by Peihua QiuA major tool for quality control and management, statistical process control (SPC) monitors sequential processes, such as production lines and Internet traffic, to ensure that they work stably and satisfactorily. Along with covering traditional methods, Introduction to Statistical Process Control describes many recent SPC methods that improve upon
Introduction To Statistical Quality Control
by Douglas C. MontgomeryThe trusted guide to the statistical methods for quality control. Quality control and improvement is more than an engineering concern. Quality has become a major business strategy for increasing productivity and gaining competitive advantage. Introduction to Statistical Quality Control, Sixth Edition gives you a sound understanding of the principles of statistical quality control (SQC) and how to apply them in a variety of situations for quality control and improvement. With this text, you'll learn how to apply state-of-the-art techniques for statistical process monitoring and control, design experiments for process characterization and optimization, conduct process robustness studies, and implement quality management techniques. You'll appreciate the significant updates in the Sixth Edition including: * In-depth attention to DMAIC, the problem-solving strategy of Six Sigma. It will give you an excellent framework to use in conducting quality improvement projects. * New examples that illustrate applications of statistical quality improvement techniques in non-manufacturing settings. Many examples and exercises are based on real data. * New developments in the area of measurement systems analysis * New features of Minitab V15 incorporated into the text * Numerous new examples, exercises, problems, and techniques to enhance your absorption of the material
Introduction to Statistical Reasoning
by Gary N. SmithThis textbook is intended for an introductory statistics course that will help students to develop their statistical reasoning. This book provides hundreds of interesting and relevant examples, and discusses not only the uses but also the abuses of statistics. These examples show how statistical reasoning can be used correctly to answer important questions and it also exposes the errors--accidental or intentional--that people often make with statistics. The book has special features of: Have You Ever Wondered?, How To Do It Boxes, Student Projects, Real Data, and Technology.
Introduction to Statistics: Using Interactive MM*Stat Elements
by Wolfgang Karl Härdle Sigbert Klinke Bernd RönzThis book covers all the topics found in introductory descriptive statistics courses, including simple linear regression and time series analysis, the fundamentals of inferential statistics (probability theory, random sampling and estimation theory), and inferential statistics itself (confidence intervals, testing).Each chapter starts with the necessary theoretical background, which is followed by a variety of examples. The core examples are based on the content of the respective chapter, while the advanced examples, designed to deepen students’ knowledge, also draw on information and material from previous chapters.The enhanced online version helps students grasp the complexity and the practical relevance of statistical analysis through interactive examples and is suitable for undergraduate and graduate students taking their first statistics courses, as well as for undergraduate students in non-mathematical fields, e.g. economics, the social sciences etc.
An Introduction to Statistics and Data Analysis Using Stata®: From Research Design to Final Report
by null Lisa Daniels null Nicholas W. MinotAn Introduction to Statistics and Data Analysis Using Stata®: From Research Design to Final Report, Second Edition provides an integrated approach to research methods, statistics and data analysis, and interpretation of results in Stata. Drawing on their combined 25 years of experience teaching statistics and research methods, authors Lisa Daniels and Nicholas Minot frame data analysis within the research process—identifying gaps in the literature, examining the theory, developing research questions, designing a questionnaire or using secondary data, analyzing the data, and writing a research paper—so readers better understand the context of data analysis. Throughout, the text focuses on documenting and communicating results so students can produce a finished report or article by the end of their courses. The Second Edition has been thoroughly updated with all new articles and data—including coverage of ChatGPT, COVID-19 policies, and SAT scores—to demonstrate the relevance of data analysis for students. A new chapter on advanced methods in regression analysis allows instructors to better feature these important techniques. Stata code has been updated to the latest version, and new exercises throughout offer more chances for practice.
An Introduction to Statistics and Data Analysis Using Stata®: From Research Design to Final Report
by null Lisa Daniels null Nicholas W. MinotAn Introduction to Statistics and Data Analysis Using Stata®: From Research Design to Final Report, Second Edition provides an integrated approach to research methods, statistics and data analysis, and interpretation of results in Stata. Drawing on their combined 25 years of experience teaching statistics and research methods, authors Lisa Daniels and Nicholas Minot frame data analysis within the research process—identifying gaps in the literature, examining the theory, developing research questions, designing a questionnaire or using secondary data, analyzing the data, and writing a research paper—so readers better understand the context of data analysis. Throughout, the text focuses on documenting and communicating results so students can produce a finished report or article by the end of their courses. The Second Edition has been thoroughly updated with all new articles and data—including coverage of ChatGPT, COVID-19 policies, and SAT scores—to demonstrate the relevance of data analysis for students. A new chapter on advanced methods in regression analysis allows instructors to better feature these important techniques. Stata code has been updated to the latest version, and new exercises throughout offer more chances for practice.
Introduction to Stochastic Calculus Applied to Finance (Chapman and Hall/CRC Financial Mathematics Series)
by Damien Lamberton Bernard LapeyreSince the publication of the first edition of this book, the area of mathematical finance has grown rapidly, with financial analysts using more sophisticated mathematical concepts, such as stochastic integration, to describe the behavior of markets and to derive computing methods. Maintaining the lucid style of its popular predecessor, this concise and accessible introduction covers the probabilistic techniques required to understand the most widely used financial models. Along with additional exercises, this edition presents fully updated material on stochastic volatility models and option pricing as well as a new chapter on credit risk modeling. It contains many numerical experiments and real-world examples taken from the authors' own experiences. The book also provides all of the necessary stochastic calculus theory and implements some of the algorithms using SciLab. Key topics covered include martingales, arbitrage, option pricing, and the Black-Scholes model.
Introduction to Stochastic Finance with Market Examples (Chapman and Hall/CRC Financial Mathematics Series)
by Nicolas PrivaultIntroduction to Stochastic Finance with Market Examples, Second Edition presents an introduction to pricing and hedging in discrete and continuous-time financial models, emphasizing both analytical and probabilistic methods. It demonstrates both the power and limitations of mathematical models in finance, covering the basics of stochastic calculus for finance, and details the techniques required to model the time evolution of risky assets. The book discusses a wide range of classical topics including Black–Scholes pricing, American options, derivatives, term structure modeling, and change of numéraire. It also builds up to special topics, such as exotic options, stochastic volatility, and jump processes. New to this Edition New chapters on Barrier Options, Lookback Options, Asian Options, Optimal Stopping Theorem, and Stochastic Volatility Contains over 235 exercises and 16 problems with complete solutions available online from the instructor resources Added over 150 graphs and figures, for more than 250 in total, to optimize presentation 57 R coding examples now integrated into the book for implementation of the methods Substantially class-tested, so ideal for course use or self-study With abundant exercises, problems with complete solutions, graphs and figures, and R coding examples, the book is primarily aimed at advanced undergraduate and graduate students in applied mathematics, financial engineering, and economics. It could be used as a course text or for self-study and would also be a comprehensive and accessible reference for researchers and practitioners in the field.
Introduction to Stochastic Level Crossing Techniques
by Percy H. BrillIntroduction to Stochastic Level Crossing Techniques describes stochastic models and their analysis using the System Point Level Crossing method (abbreviated SPLC or LC). This involves deriving probability density functions (pdfs) or cumulative probability distribution functions (cdfs) of key random variables, applying simple level-crossing limit theorems developed by the author. The pdfs and/or cdfs are used to specify operational characteristics about the stochastic model of interest. The chapters describe distinct stochastic models and associated key random variables in the models. For each model, a figure of a typical sample path (realization, i.e., tracing over time) of the key random variable is displayed. For each model, an analytic (Volterra) integral equation for the stationary pdf of the key random variable is created−by inspection of the sample path, using the simple LC limit theorems. This LC method bypasses a great deal of algebra, usually required by other methods of analysis. The integral equations will be solved directly, or computationally. This book is meant for students of mathematics, management science, engineering, natural sciences, and researchers who use applied probability. It will also be useful to technical workers in a range of professions. Key Features: A description of one representative stochastic model (e.g., a single-server M/G/1 queue; a multiple server M/M/c queue; an inventory system; etc.) Construction of a typical sample path of the key random variable of interest (e.g., the virtual waiting time or workload in queues; the net on-hand inventory in inventory systems; etc.) Statements of the simple LC theorems, which connect the sample-path upcrossing and downcrossing rates across state-space levels, to simple mathematical functions of the stationary pdf of the key random variable, at those state-space levels Creation of (usually Volterra) integral equations for the stationary pdf of the key random variable, by inspection of the sample path Direct analytic solution of the integral equations, where feasible; or, computational solutions of the integral equations Use of the derived stationary pdfs for obtaining operational characteristics of the model
Introduction to Stochastic Processes Using R
by Sivaprasad Madhira Shailaja DeshmukhThis textbook presents some basic stochastic processes, mainly Markov processes. It begins with a brief introduction to the framework of stochastic processes followed by the thorough discussion on Markov chains, which is the simplest and the most important class of stochastic processes. The book then elaborates the theory of Markov chains in detail including classification of states, the first passage distribution, the concept of periodicity and the limiting behaviour of a Markov chain in terms of associated stationary and long run distributions. The book first illustrates the theory for some typical Markov chains, such as random walk, gambler's ruin problem, Ehrenfest model and Bienayme-Galton-Watson branching process; and then extends the discussion when time parameter is continuous. It presents some important examples of a continuous time Markov chain, which include Poisson process, birth process, death process, birth and death processes and their variations. These processes play a fundamental role in the theory and applications in queuing and inventory models, population growth, epidemiology and engineering systems. The book studies in detail the Poisson process, which is the most frequently applied stochastic process in a variety of fields, with its extension to a renewal process. The book also presents important basic concepts on Brownian motion process, a stochastic process of historic importance. It covers its few extensions and variations, such as Brownian bridge, geometric Brownian motion process, which have applications in finance, stock markets, inventory etc. The book is designed primarily to serve as a textbook for a one semester introductory course in stochastic processes, in a post-graduate program, such as Statistics, Mathematics, Data Science and Finance. It can also be used for relevant courses in other disciplines. Additionally, it provides sufficient background material for studying inference in stochastic processes. The book thus fulfils the need of a concise but clear and student-friendly introduction to various types of stochastic processes.
Introduction to Stockholders' Equity
by Jacob Cohen Thomas D. FieldsThe stockholders' equity section of the balance sheet illustrates details of accounting for stock offerings, common stock, and preferred stock. Accounting for dividends, both cash and stock dividends, and treasury stock is covered.
Introduction to Strategic Innovation
by Vijay Govindarajan Chris TrimbleIn today's marketplace, characterized by rapid and nonlinear change, executing strategic innovation successfully has become imperative for generating sustained growth and extending the corporate life span. In this chapter, the authors describe and demystify strategic innovation.
Introduction to Supply Chain Analytics: With Examples in AnyLogic and anyLogistix Software (Classroom Companion: Business)
by Dmitry IvanovThe book offers a concise yet comprehensive introduction to supply chain analytics covering management, modeling, and technology perspectives. Designed to accompany the textbook “Global Supply Chain and Operations Management”, it addresses the topics of supply chain analytics in more depth. The book describes descriptive, predictive, and prescriptive supply chain analytics explaining methodologies, illustrating method applications with the use of training exercises, and providing numerous examples in AnyLogic and anyLogistix software. Throughout the book, numerous practical examples and short case studies are given to illustrate theoretical concepts. Along with AnyLogic and anyLogistix model development guidelines and examples, the book has two other distinct features. First, it reviews and explains novel frameworks and concepts related to data-driven decision-making and digital twins. Second, it shows how to use analytics to improve supply chain resilience.Without relying heavily on mathematical derivations, the book offers a structured presentation and explanation of major supply chain analytics techniques and principles in a simple, predictable format to make it easy to understand for students and professionals with both management and engineering backgrounds. Graduate/Ph.D. students and supply chain professionals alike would benefit from a structured and didactically-oriented concise presentation of the concepts, principles, and methods of supply chain analytics. Providing graduate students and supply chain managers with working knowledge of basic and advanced supply chain analytics, this book contributes to improving knowledge-awareness of decision-making in increasingly data-driven and digital environments. The book is supplemented by a companion website offering interactive exercises with the use of AnyLogic and anyLogistix software as well as Spreadsheet Modeling.
Introduction to Supply Chain Management Technologies (Resource Management)
by David Frederick Ross Frederick S. Weston Stephen W.It is almost impossible to conceive of the concept and practical application of supply chain management (SCM) without linking it to the enabling power of today‘s information technologies. Building upon the foundations of the first edition, Introduction to Supply Chain Management Technologies, Second Edition details the software toolsets and suites
Introduction to Supply Chain Resilience: Management, Modelling, Technology (Classroom Companion: Business)
by Dmitry IvanovThis book offers a concise yet comprehensive introduction to supply chain resilience, covering management, modeling and technology perspectives. Designed to accompany the textbook “Global Supply Chain and Operations Management” it addresses the topics of supply chain risks and resilience in more depth, describing the major features of supply chain resilience and explaining methodologies to mitigate supply chain disruptions and recover. Numerous practical examples and short case studies are provided to illustrate theoretical concepts. Without relying heavily on mathematical derivations, the book explains major concepts and methods to build and improve supply chain resilience and tackle supply chain disruption risks in a simple, uniform format to make it easy to understand for students and professionals with both management and engineering backgrounds. Graduate/PhD students and supply chain professionals alike will benefit from the structured, didactically oriented and concise presentation of the concepts, principles and methods of supply chain resilience management, modeling, and technological implementation.
Introduction to Surveillance Studies
by J.K. PetersenSurveillance is a divisive issue one might say it is inherently controversial. Used by private industry, law enforcement, and for national security, it can be a potent tool for protecting resources and assets. It can also be extremely invasive, calling into question our basic rights to freedom and privacy. Introduction to Surveillance Studies explo
An Introduction to Sustainability: Environmental, Social and Personal Perspectives
by Martin MulliganAn Introduction to Sustainability provides students with a comprehensive overview of the key concepts and ideas which are encompassed within the growing field of sustainability. The book teases out the diverse but intersecting domains of sustainability and emphasises strategies for action. Aimed at those studying the subject for the first time, it is unique in giving students from different disciplinary backgrounds a coherent framework and set of core principles for applying broad sustainability principles within their personal and professional lives. These include: working to improve equality within and across generations, moving from consumerism to quality of life goals and respecting diversity in both nature and culture. Areas of emerging importance such as the economics of happiness and wellbeing stand alongside core topics including: Energy and society Consumption and consumerism Risk and resilience Waste, water and land. Key challenges and applications are explored through international case studies and each chapter includes a thematic essay drawing on diverse literature to provide an integrated introduction to fundamental issues. Launched with the brand-new Routledge Sustainability Hub, the book's companion website contains a range of features to engage students with the interdisciplinary nature of Sustainability. Together these resources provide a wealth of material for learning, teaching and researching the topic of sustainability. This textbook is an essential companion to any sustainability course.
An Introduction to Sustainability: Environmental, Social and Personal Perspectives
by Martin MulliganAn Introduction to Sustainability provides students with a comprehensive overview of the key concepts and ideas which are encompassed within the growing field of sustainability. The fully updated second edition, including new figures and images, teases out the diverse but intersecting domains of sustainability and emphasises strategies for action. Aimed at those studying the subject for the first time, it is unique in giving students from different disciplinary backgrounds a coherent framework and set of core principles for applying broad sustainability principles within their own personal and professional lives. These include: working to improve equality within and across generations; moving from consumerism to quality of life goals; and respecting diversity in both nature and culture. Areas of emerging importance such as the economics of prosperity and wellbeing stand alongside core topics including: · Energy and society · Consumption and consumerism · Risk and resilience · Waste, water and land. Key challenges and applications are explored through international case studies, and each chapter includes a thematic essay drawing on diverse literature to provide an integrated introduction to fundamental issues. Housed on the Routledge Sustainability Hub, the book’s companion website contains a range of features to engage students with the interdisciplinary nature of sustainability. Together these resources provide a wealth of material for learning, teaching and researching the topic of sustainability. This textbook is an essential companion to any sustainability course.
Introduction to Sustainability: Road to a Better Future
by Nolberto MunierThis book develops a supporting structure for sustainable development, following a natural set of steps to reach an established goal. It provides the tools to navigate this Road to a Better Future by explaining concepts, giving ideas, proposing methods, and suggesting actions. To illustrate the utilization of techniques there are many examples, applied to a variety of activities, and to wrap up concepts, the last chapter is dedicated to the analysis of a community in search of a sustainable environment. A thematic index has been designed to help a person quickly find information on relevant topics.
Introduction to Sustainability Analytics
by Raghavan Ram RamananThe roles of corporate and public stewards and the nature of their social contract with society have been changing over the past two centuries, and those changes have accelerated in recent decades. Moreover, with increasing focus on sustainability factors from the marketplace (regulators, investors, financiers, and consumers), corporate sustainability disclosure is shifting from voluntary to vital. Corporate and public stewards are now responsible for their performance and services from cradle-to-grave: they must properly manage corporate social responsibility and integrate it into their global strategies, rather than consider it as merely a moral obligation or a risk/reputation management exercise. <P><P> Sustainability analytics, the critical link between sustainability and business strategy, helps professionals track, trend, and transform sustainability information into actionable insights across the value chain and life cycle, to enhance their sustainability performance and its disclosure. This book, Introduction to Sustainability Analytics, provides corporate and public stewards with a comprehensive understanding of how to determine which sustainability metrics are material to them and relevant to their business, and how to incorporate them into corporate strategy, resource allocation, and prioritization. Focusing on practical decision-making needs, it explains how to value and prioritize initiatives, and how to best allocate necessary resources through several real case studies and practical examples. <P><P> Features: <P><P> Examines pressing issues such as climate change, water scarcity, and environmental justice <P><P> Explains how to develop a business case and global strategy for social responsibility <P><P> Includes both corporate and public policy perspectives on sustainability economics <P><P> Covers emerging regulations on sustainability disclosure and responsible investing
An Introduction to Sustainable Aquaculture
by Daniel Peñalosa Martinell Vergara-Solana, Francisco J Araneda Padilla, Marcelo E Fernando Aranceta GarzaThis new textbook provides an accessible introduction to sustainable aquaculture through its relationship with three key pillars: the environment, the economy, and society.As the demand for seafood keeps increasing, aquaculture is considered one of the most promising and sustainable ways to satisfy this demand with nutritious and high-quality food. It is important to understand, therefore, the wider role and impact aquaculture has on the environment, the economy, and society. The book begins by providing a foundational introduction to aquaculture and sustainability, discussing the complex and interdependent relationship that exists between the two. The core text of the book is divided into four parts which focus on the environment, economics, social impacts, and governance and technologies. Chapters examine key issues surrounding climate change, food security, new technologies, bioeconomics and risk analysis, international cooperation, employment, and animal welfare, with the book concluding with a chapter examining the future directions and challenges for the aquaculture industry. The book draws on global case studies and each chapter is accompanied by recommended reading and chapter review questions to support student learning.This book will serve as an essential guide for students of aquaculture, fisheries management, and sustainable food, as well as practitioners and policymakers engaged in sustainable fishery development.
An Introduction to Sustainable Development
by Jennifer ElliottThis third edition of a successful, established text provides a concise and well-illustrated introduction to the ideas behind, and the practices flowing from the notion of sustainable development.
An Introduction to Sustainable Development
by Jennifer ElliottThis third edition of a successful, established text provides a concise and well-illustrated introduction to the ideas behind, and the practices flowing from the notion of sustainable development.