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Larner S: Attacking the Space / LF

Attacking the Space

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

Statistical skills are essential for analysing data and ensuring optimal business operation and efficiency. In this clear and concise textbook, Les Oakshott and Kathy Kotiadis guide students through key quantitative techniques, from basic maths and statistics through to advanced topics such as hypothesis testing and linear programming. Grounded in the everyday realities of business, this textbook introduces each chapter with an engaging case study to highlight how organisations operationalise these techniques, ranging from the growth of China's economy and a Covid-19 infection survey to goal scoring at Euro 2024 and the effect of global warming on the occurrence of salmonella in Singapore. New to this edition: -Links the UN Sustainable Development Goals to quantitative techniques -Greater emphasis on Excel to enable seamless transition to blended learning approaches -Walk-through videos of key processes hosted on the companion website This is the essential textbook for delivering quantitative methods and business statistics modules to students of mixed maths abilities across undergraduate and postgraduate levels. Accompanying online resources for this title can be found at bloomsburypub/essential-quantitative-methods-8e. These resources are designed to support teaching and learning at no extra cost.

for Business, Management and Finance

Essential Quantitative Methods

Agricultural Statistics

Agricultural Statistics is published each year to meet the diverse need for a reliable reference book on agricultural production. It covers an extensive list of issues related to agriculture including livestock, farm values, crop production, and foreign trade. The estimates for crops, livestock, and poultry made by the U.S. Department of Agriculture are prepared mainly to give timely current state and national totals and averages. They are based on data obtained by sample surveys of farmers and of people who do business with farmers. The survey data are supplemented by information from the Census of Agriculture taken every five years. Being estimates, they are subject to revision as more data become available from commercial or government sources. Unless otherwise indicated, the totals for the United States shown in the various tables on area, production, numbers, price, value, supplies, and disposition are based on official estimates. They exclude states for which no official estimates are compiled. Professionals in farming, ranching, agricultural consulting, and animal science will find this most valuable.

Agricultural Statistics 2025

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

Sybex Study Guide

Your complete Guide to preparing for the AWS® Certified Data Engineer: Associate exam The AWS® Certified Data Engineer Study Guide is your one-stop resource for complete coverage of the challenging DEA-C01 Associate exam. This Sybex Study Guide covers 100% of the DEA-C01 objectives. Prepare for the exam faster and smarter with Sybex thanks to accurate content including, an assessment test that validates and measures exam readiness, real-world examples and scenarios, practical exercises, and challenging chapter review questions. Reinforce and retain what you've learned with the Sybex online learning environment and test bank, accessible across multiple devices. Get ready for the AWS Certified Data Engineer exam - quickly and efficiently - with Sybex. Coverage of 100% of all exam objectives in this Study Guide means you'll be ready for: <ul><li>Data Ingestion and Transformation</li><li>Data Store Management</li><li>Data Operations and Support</li><li>Data Security and Governance</li></ul> ABOUT THE AWS DATA ENGINEER - ASSOCIATE CERTIFICATION The AWS Data Engineer - Associate certification validates skills and knowledge in core data-related Amazon Web Services. It recognizes your ability to implement data pipelines and to monitor, troubleshoot, and optimize cost and performance issues in accordance with best practices Interactive learning environment Take your exam prep to the next level with Sybex's superior interactive online study tools. To access our learning environment, simply visit www.wiley.com/go/sybextestprep, register your book to receive your unique PIN, and instantly gain one year of FREE access after activation to: ¿ Interactive test bank with 5 practice exams to help you identify areas where further review is needed. Get more than 90% of the answers correct, and you're ready to take the certification exam. ¿ 100 electronic flashcards to reinforce learning and last-minute prep before the exam ¿ Comprehensive glossary in PDF format gives you instant access to the key terms so you are fully prepared

Associate (DEA-C01) Exam

AWS Certified Data Engineer Study Guide

Develop analytical skills that are in high demand with Camm/Cochran/Fry/Ohlmann's "Business Analytics," 6th Edition. Master the full range of analytics as you strengthen descriptive, predictive and prescriptive analytic skills, data visualization, unsupervised and supervised machine learning and generative AI. Examples and visuals illustrate data and results. Step-by-step instructions guide you through using Excel, Tableau, R, Power BI or Python (including the Python-based Orange software). Practical problems at all levels of difficulty let you apply what you've learned. Updates address topics beyond traditional quantitative concepts such as data wrangling, data visualization, machine learning and generative AI. MindTap and WebAssign online learning platforms are available with an interactive eBook, algorithmic practice problems and Exploring Analytics visualizations.

Business Analytics

Handbook of U.S. Labor Statistics

The Handbook of U.S. Labor Statistics is recognized as an authoritative resource on the U.S. labor force. It continues and enhances the Bureau of Labor Statistics's (BLS) discontinued publication, Labor Statistics. It allows the user to understand recent developments as well as to compare today's economy with that of the past.This publication includes several tables throughout the book examining the extensive effect that coronavirus (COVID-19) has had on the labor market since 2020. In addition, it includes a completely updated chapter on prices and the most current employment projections through 2033.The Handbook is a comprehensive reference providing an abundance of information on a variety of topics. In addition to providing statistics on employment, unemployment, and prices, it includes information on topics such as:<ul><li>Earnings;</li><li>Productivity;</li><li>Consumer expenditures;</li><li>Occupational safety and health;</li><li>Union membership;</li><li>Working poor</li><li>Recent trends in the labor force</li><li>And much more!</li></ul> Features of the publication: In addition to over 215 tables that present practical data, the Handbook provides:<ul><li>Introductory material for each chapter that contains highlights of salient data and figures that call attention to noteworthy trends in the data</li><li>Notes and definitions, which contain concise descriptions of the data sources, concepts, definitions, and methodology from which the data are derived</li><li>References to more comprehensive reports which provide additional data and more extensive descriptions of estimation methods, sampling, and reliability measures</li></ul>

Employment, Earnings, Prices, Productivity, and Other Labor Data

Handbook of U.S. Labor Statistics 2025

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

The back-to-back Rugby World Cup-winning Springbok team has captured the imagination of South Africans in a way that has never been achieved before. This team serves as a fascinating case study of what is possible when an organisation focuses on being not just smart, but also healthy. By incorporating and modelling specific principles that aim to enhance the experience of players, staff and coaches, the team has managed to become more than the sum of its parts. This book unpacks these principles in a way that equips anyone responsible for leading a group, team or organisation with the tools to replicate what the Boks have managed to achieve in their own context. By drawing on personal and media interviews with those who helped shape their environment, including Jacques Nienaber and Steven Kitshoff, the book provides practical examples that will enable the reader with the know-how to do it themselves. The Bok Way is for anyone who wants to build a great team of their own and needs some stepping stones on the way. The principles highlighted are taken from the best-practice knowledge of organisational health and employee experience and is packaged in such a way to make it relevant, practical and entertaining.

Unlocking the Springboks' Secrets to Performance, Culture and Success in Business

The BOK Way

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

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

Understand how to use people analytics to drive business results and gain competitive advantage.

Using HR Data and AI to Drive Business Results

The Value of People Analytics

Attacking the Space

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