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Larner S: Attacking the Space / LF

Attacking the Space

Inside Rugby's Tactical and Data Revolution - 'Illuminating' Eddie Jones

Offering a wide range of case studies, this new book highlights the practical applications of integrating quality management, data analysis, and multidisciplinary research for solving urgent environmental challenges, improving public health and company operations, and more. By bridging the gap between theory and practice, it emphasizes the transformative power of data and interdisciplinary approaches in addressing complex challenges and driving innovation.This book highlights many methods and applications for data analysis and interdisciplinary research, including various statistical methods, CUSUM (Cumulative Sum) control charts, Poisson distribution models, the Bayesian approach, software programs like Mathematica, machine learning algorithms, big data, and more. The book applies data analysis approaches in addressing complex challenges in many areas, including for environmental problems such as measuring air pollution; in socioeconomic issues like insurance costs and dynamics; in healthcare such as for analyzing epidemiological data (such as from the COVID-19 pandemic); in the agricultural sector, such as to understand and forecast agricultural trends and to enhance agricultural sustainability; and more.

Integrative Approaches to Quality, Data Analysis, and Interdisciplinary Research

A foundational treatment of discrete choice models, with a focus on random utility models Discrete choice models are essential tools for understanding decision-making when individuals must choose among alternatives. They have applications across the social sciences, notably in economics, marketing, and political science. This book offers a foundational treatment of discrete choice models, introducing the logit model and its generalizations, logistic and Poisson regressions, and generalized linear models, and demonstrates their use in analyzing important econometric models. These include international trade gravity, demand estimation, matching with and without transfers, hedonic markets, and dynamic discrete choice. Bridging theoretical clarity and practical applicability, the book is suitable for use in graduate-level coursework and will be an essential resource for researchers and practitioners. • Extensive coverage of computational issues, focusing on optimization and the reformulation as generalized linear models • Emphasis on econometric questions, including simulation, estimation, and inference methods, with estimation techniques based on both simulated and actual datasets • A substantial set of exercises and problems at the end of each chapter • Two appendixes, with one covering the mathematical tools needed to understand the material, and the other the Python code examples

Mathematical Methods, Econometrics, and Data Science

Discrete Choice Models

This book covers calculus, linear algebra, probability and statistics, and computer programming (using Python) at the level required in strong, technically-oriented undergraduate and masters level economics programs. It is the first of a two-volume set, with the second volume focusing on mathematics and programming for networks and dynamic models. Together, the two volumes cover mathematics and programming used in economics, econometrics, data science, machine learning and artificial intelligence. It is intended to be used as a main text for mathematics for economics courses ranging from intermediate to masters levels, and as a resource or reference text for other economics, econometrics and data science courses. It should also be useful as a reference text for economics and data science practitioners who wish to learn more about the mathematics of these subjects.

Mathematics And Programming For The Quantitative Economist: Fundamentals

Unlock the full potential of quantitative trading with Prescriptions for Quant Traders Using R-a practical, hands-on guide for turning data into trading decisions.This book is written for quantitative traders, financial analysts, and data scientists who want more than theory. Organized into ten structured parts, it delivers step-by-step "prescriptions" using R-script-driven tasks that solve real-world trading problems. Each prescription is designed to be immediately actionable, so readers can move from concept to implementation without guesswork.What makes this book different is its clarity, utility, and its link to online video walk-throughs of R scripts. Modeled in the spirit of a Scientific American article, the text flows seamlessly without interruptions, yet a comprehensive bibliography ensures depth and rigor. Every chapter blends explanation with executable code, enabling traders to:<ul> <li> Design systematic trading strategies in R - and understand why they work.</li> <li> Apply robust statistical and econometric methods to financial data for better predictions.</li> <li> Evaluate risk and performance metrics to refine strategies with confidence.</li> <li> Automate workflows so insights move faster from model to market.</li> </ul>Whether you are a retail trader aiming to compete with professionals, a financial analyst seeking sharper models, or a data scientist expanding into trading, this book bridges the gap between theory and practice.Readers will find special value in the prescription-based approach. Just as a doctor prescribes remedies, these scripts deliver targeted solutions to trading challenges-from portfolio optimization and volatility forecasting to Bayesian inference and machine learning integration.In a marketplace where retail participation continues to grow, Prescriptions for Quant Traders Using R equips you with the knowledge, tools, and confidence to approach trading systematically. The result: deeper insights, stronger discipline, and strategies that stand the test of real-world markets.Whether you're coding your first model or refining a sophisticated strategy, this book provides the prescriptions you need to succeed.

Videos & Scripts

Prescriptions for Quant Traders Using R

Dig deep to discover the truth about numbers and statistics in the media Wrong Number: How to Extract Truth From a Blizzard of Quantitative Disinformation shows readers how to diagnose statistical errors in journal articles and media accounts of prominent public issues. In addition to the mistakes or tricks with numbers other people use to lose the truth, this book also offers more positive material, showing how to use numbers to find truth. Written by Aaron Brown, prominent media figure, former professor, sports bettor, and poker player, and host of the popular ReasonTV series Wrong Number, this book answers questions including: <ul> <li>Did California's minimum wage hike really create more jobs?</li> <li>Do studies show that weed causes strokes and heart attacks?</li> <li>Are poor geniuses being shut out of science?</li> <li>What is the real health risk of vaping?</li> <li>Does gun control work?</li> </ul> Wrong Number: How to Extract Truth From a Blizzard of Quantitative Disinformation is an entertaining and eye-opening read for students in quantitative programs of study, along with all individuals curious as to whether or not they're being told the truth from their favorite media organizations.

How to Extract Truth From a Blizzard of Quantitative Disinformation

Wrong Number

Deliver successful digital transformation with a clear strategy, practical tools and confident decision making.
 
The Practical Guide to Digital Transformation is a hands-on roadmap for mid-career managers, team leads and directors who need to improve performance, modernize processes and drive innovation through technology. Written by technology expert Antonio Weiss, this step-by-step guide breaks the complexity of digital transformation into 19 practical, repeatable steps you can apply immediately.
Designed for professionals responsible for translating strategy into delivery, it shows how to build the right culture, manage change effectively, upskill teams and know when to bring in new talent. This second edition also adds essential guidance on AI, quantum computing, sustainability and the ethical use of technology, helping you stay ahead of emerging trends with confidence.
You'll learn how to: 
- Build a focused digital strategy that aligns with business goals 
- Create a culture that supports innovation, agility and continuous improvement 
- Manage change effectively across teams, functions and stakeholders 
- Identify skills gaps, develop talent and choose the right external expertise
With real-world examples in every chapter and clear steps to put each principle into action, The Practical Guide to Digital Transformation helps both mid- and senior-career professionals deliver meaningful improvements, avoid common pitfalls and lead digital initiatives that drive measurable results.
Themes include: digital transformation, digital strategy, innovation strategy, change management, AI and emerging tech, organizational culture, upskilling

Use Technology to Improve Your Business

The Practical Guide to Digital Transformation

Use this jargon-free, step-by-step guide to create an agile, customer-centric marketing strategy and unlock the full capability of data and analytics.

Leverage Analytics, Data and AI to Optimize Marketing Strategies

Marketing Metrics

International Series on Actuarial Science

This comprehensive yet accessible guide to enterprise risk management for financial institutions contains all the tools needed to build and maintain an ERM framework. It discusses the internal and external contexts within which risk management must be carried out, and it covers a range of qualitative and quantitative techniques that can be used to identify, model and measure risks. This third edition has been thoroughly revised and updated to reflect new regulations and legislation. It includes additional detail on machine learning, a new section on vine copulas, and significantly expanded information on sustainability. A range of new case studies include Theranos and FTX. Suitable as a course book or for self-study, this book forms part of the core reading for the Institute and Faculty of Actuaries' examination in enterprise risk management.

Financial Enterprise Risk Management

Develop a marketing strategy that blends data-driven principles with authentic human insight to deliver stronger, more meaningful results.

Authentic Marketing is a practical guide for mid-career marketers who want to build credibility, apply clear frameworks and develop campaigns that stand out in an increasingly AI-driven landscape. As conversations about automation dominate the industry, this book reframes what truly drives marketing effectiveness: human curiosity, creativity and audience-first thinking.

Written by industry leader Visha Kudhail, the book provides actionable tools for integrating authentic inspiration with data-driven approaches. Through detailed chapters and real-world examples, it shows how to implement strategies that optimize performance, build trust and strengthen long-term consumer loyalty.

You'll learn how to:
- Apply audience-first principles to develop creative ideas grounded in real human insight
- Implement data-driven strategies that support authenticity rather than replace it
- Develop frameworks for balancing automation with the emotional intelligence marketing requires
- Optimize campaigns by identifying meaningful audience motivations and behaviours
- Use real-world examples to strengthen credibility and apply best practices across industries

With its balance of strategy, practical guidance and modern industry insight, Authentic Marketing helps mid-career professionals develop campaigns that deliver measurable impact while staying true to the human foundations of great marketing.

Themes include: marketing strategy, creativity frameworks, audience insight, authentic storytelling, data-driven marketing, campaign optimization

Combining Human Thinking and Creativity with Technology to Inspire Audiences

Authentic Marketing

A FINANCIAL TIMES BOOK OF THE WEEK 'Illuminating' Eddie Jones 'Compelling' Metro 'Essential reading... reveals rugby's secrets' Financial Times 'Well written, insightful and thought-provoking' The Guardian 'Fantastic, a must-read for rugby fans' Ben Youngs ______________________________ Does it matter which foot your fly-half kicks with? How can teams win matches when the clock stops? Why don't wingers actually play on the wing? Does having more possession increase a team's chances of winning? Leading data analyst Sam Larner lifts the lid on international rugby, using his decade of experience at the professional level to reveal the tactical and data revolution that has taken the sport by storm. Sharing ground-breaking insight into the modern game, Sam explores the exciting innovations players and clubs are currently using to improve their gameplay. He analyses the metrics by which teams succeed and fail in their attempts to win metres, tries and matches, as well as why recent law changes are so important for rugby's development and what a data-driven future holds for the sport. With each chapter focusing on a different match, such as France facing the All Blacks in 2023 and Wales' remarkable comeback against England at the 2008 Six Nations, Attacking the Space is revolutionary in its approach as the first book to tackle rugby's new obsession with data and tactics. It takes readers on a fascinating tour of modern rugby to offer a twenty-first century overview of one of the world's most exciting sports. This is rugby as you've never seen it before.

Implement AI strategies to optimise performance and deliver stronger customer experiences in tourism.

Technology-Led Tourism is a practical guide for managers, department heads and industry professionals who want to develop credible strategies for applying AI across the travel sector. It bridges the gap between technology and tourism, offering frameworks you can implement to enhance both operational efficiency and guest engagement.

Written by Shaon Talukder, this book draws on detailed real-world examples from Expedia, Amadeus, Delta Airlines and Airbnb to show how AI principles are already reshaping travel. With insights from adjacent industries such as finance and media, it highlights proven approaches that tourism professionals can adapt to stay competitive. 

You'll learn how to:
- Apply AI frameworks to optimize operations and decision-making 
- Develop data foundations that enable scalable, reliable innovation 
- Implement principles from other industries to strengthen strategy 
- Build credibility by applying actionable tools to your own context 
- Translate AI opportunities into measurable career and business impact 

With clear models, real-world examples, and actionable guidance, Technology-Led Tourism equips mid- to senior-career professionals to implement strategies that not only improve performance but also elevate their role as informed, forward-looking leaders in the industry.

Themes include: AI in tourism, travel strategy, data frameworks, operational efficiency, customer experience, innovation adoption

Leveraging AI, Data and Analytics in Travel

Technology-Led Tourism

This publication addresses copula approaches to competing risks models for dependent latent failure times. It will establish the fundamentals on dependent competing risks models, as well as a range of recent developments to identifiability and estimation using copulas. Readers will learn from the presentation of theory, in relation to its applications in different subject areas in economics, engineering, and medicine. The comprehensive knowledge provided in this book gives readers an overview of existing models for dependent competing risks, which are not found in other books.The book covers basic statistical ideas, such as "parametric latent failure time models", theoretical issues, such as "identifiability of the competing risks model", and model comparisons, such as comparative studies for "different copulas and different models for hazard functions". Aside from the introductory materials, the authors cover new and recently developed methodologies. The new solutions address the identifiability problems in competing risks models that rely on copula modelling. Copula models and other competing risks models are presented in unified theoretical framework and illustrated with data from various disciplines (such as economics, engineering, and medicine). The book also includes applications with real data and the code (written by R and/or Stata) will be made available for easy practice purposes.A selection of exercises and their solutions will be available online. This book serves as a good reading for senior undergraduates and postgraduate students studying in such courses as "Multivariate Survival Analysis", "Survival Data Analysis" or "Advanced Econometrics". This book would also serve as a useful reference for empirical researchers in a wide range of disciplines.

Theory and Applications in Economics, Engineering, Medicine

Copula Models for Dependent Competing Risks

Attacking the Space

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