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Cardon M: Introductory Business
Statistics Vol 2

Introductory Business Statistics Vol 2

Every month, surveys around the world ask people to tell them what they are really thinking. The results are at times reassuring, sometimes chilling and often unexpected. In The Next Crisis, leading UK geographer Danny Dorling unpacks polling data and shows that our global crises are often very different from what’s in the headlines – and that we need to take these issues very seriously. Dorling explores our main concerns about the world in order of urgency. What the cost of living shows us about inequality. How the connection between employment and immigration is used to stir up insecurity. Why we are frightened by distant wars. How corruption corrodes care. What we should really be worried about when it comes to climate change – including what the scientists get wrong about people’s fears. And finally, how the great ‘unknown unknowns’ dictate the way we think about the future and what we should be less afraid of: pandemics, asteroids, tsunamis, even each other. The Next Crisis uses the most up-to-date research to redraw our assumptions about where our greatest threats come from. Dorling offers a series of solutions for tackling, or at the very least coming to terms with, our uncertain future.

What We Think About the Future

The Next Crisis

From Data to Decision

Business Analytics

What drives your company's value?

Are you a business owner, wondering what its true worth is? If you wanted to sell, what is the ultimate price you could get? Do you know how to achieve that price?

This isn't just another business book; it's your definitive compass to mastering EBITDA (Earnings Before Interest, Taxes, Depreciation, and Amortization)-the vital metric investors use to assess a company's true worth.

In The 12 Levers of Business Performance , seasoned expert Andreas Gfesser, drawing from over 35 years of experience transforming businesses into powerhouses, reveals the strategies crucial for growth and profitability. Through a practical, step-by-step approach, guided by the relatable journey of fictional CEO Bob, you will discover:

The 12 Value Levers that will systematically enhance your business operations and financial performance, preparing your company for its highest possible valuation.
The Closed-Loop Value Enhancement Process, a proven framework for continuous improvement that aligns every aspect of your business for lasting success.
How to build your own EBITDA Integration Strategy, a comprehensive guide that captures your company's historical trajectory and outlines its future strategy for maximizing returns.



Whether you want to sell, attract investors, or simply optimize your company's financial health, this book provides insights and actionable tools to elevate your business. Learn to think like an investor, leverage strategic planning, and achieve the sustained profitability you deserve.

It's time to unlock your business's full potential. 

Your journey to maximizing EBITDA value begins here.

Maximize Profit, Manage Cash Flow, and Enhance Your Value

The 12 Levers of Business Performance

A groundbreaking bridge between traditional financial theories and emerging interdisciplinary approaches, offering a unique perspective on finance in these uncertain times. From a seasoned expert in finance, behavioral finance, complexity science, and quantum finance. Adaptive Finance is a forward-looking exploration of the evolving world of finance, addressing the most pressing challenges and emerging trends facing financial markets today. It examines how traditional economic and financial models, long dominant in the field, are being redefined by advancements in behavioral science, mathematics, and technology. Financial professionals and academics must confront risks and dynamics that established theories often fail to capture in an era marked by complexity, technological disruption, and global uncertainty. This book provides the intellectual foundation needed to tackle these challenges. The chapters span a wide range of topics—from behavioral finance and causal models to quantum finance and innovations in financial systems—offering a comprehensive view of the forces reshaping finance. The book begins with well-established frameworks and progressively explores cutting-edge concepts, guiding readers through the transformation of financial theory and practice. Each chapter stands on its own, making the book suitable for both comprehensive study and selective reading. The authors present a timely perspective on how finance must adapt to a more complex and dynamic world.

A groundbreaking bridge between traditional financial theories and emerging interdisciplinary approaches, offering a unique perspective on finance in these uncertain times. From a seasoned expert in finance, behavioral finance, complexity science, and quantum finance. Adaptive Finance is a forward-looking exploration of the evolving world of finance, addressing the most pressing challenges and emerging trends facing financial markets today. It examines how traditional economic and financial models, long dominant in the field, are being redefined by advancements in behavioral science, mathematics, and technology. Financial professionals and academics must confront risks and dynamics that established theories often fail to capture in an era marked by complexity, technological disruption, and global uncertainty. This book provides the intellectual foundation needed to tackle these challenges. The chapters span a wide range of topics—from behavioral finance and causal models to quantum finance and innovations in financial systems—offering a comprehensive view of the forces reshaping finance. The book begins with well-established frameworks and progressively explores cutting-edge concepts, guiding readers through the transformation of financial theory and practice. Each chapter stands on its own, making the book suitable for both comprehensive study and selective reading. The authors present a timely perspective on how finance must adapt to a more complex and dynamic world.

Embracing Uncertainty and Complexity

Adaptive Finance

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 bloomsbury.pub/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

A paradigm-shifting textbook that teaches graduate students in economics how to use economic models to interpret data. Offering a new pedagogical paradigm, this textbook delivers a ready-made economics course covering the general concepts that unify different approaches to bringing economic models to data. Jesse Shapiro presents core ideas in quantitative economics as an abstract, cohesive whole and introduces canonical models that can be used across a wide range of applications. This course-in-a-book exposes students to stylized applications of these models that illuminate their foundations as well as recent research articles demonstrating the models’ broad applicability. <ul><li>Provides a coherent, generalized approach to making model-based inferences in empirical economics</li><li>Introduces central concepts and canonical models in quantitative economics</li><li>Features applications of modern research topics</li><li>Suits self-paced learning and classroom use alike</li></ul>

A paradigm-shifting textbook that teaches graduate students in economics how to use economic models to interpret data. Offering a new pedagogical paradigm, this textbook delivers a ready-made economics course covering the general concepts that unify different approaches to bringing economic models to data. Jesse Shapiro presents core ideas in quantitative economics as an abstract, cohesive whole and introduces canonical models that can be used across a wide range of applications. This course-in-a-book exposes students to stylized applications of these models that illuminate their foundations as well as recent research articles demonstrating the models’ broad applicability. <ul><li>Provides a coherent, generalized approach to making model-based inferences in empirical economics</li><li>Introduces central concepts and canonical models in quantitative economics</li><li>Features applications of modern research topics</li><li>Suits self-paced learning and classroom use alike</li></ul>

Introduction to Quantitative Economics

A novel framework for how entrepreneurs can use Bayesian reasoning to make decisions. This edited volume introduces and explores the concept of Bayesian entrepreneurship, a novel framework for understanding entrepreneurial decision-making under uncertainty. It brings together contributions from leading scholars to examine how entrepreneurs form beliefs about opportunities, learn through experimentation, and make strategic decisions. The Bayesian approach emphasizes the critical interaction between an entrepreneur’s prior beliefs and their capacity for learning and experimentation to update those beliefs. This dynamic process allows entrepreneurs to formulate and test theories about value creation and capture, attract resources and capabilities, and implement effective entrepreneurial strategies. The volume is organized around four key themes: <ul><li>the foundations and distinguishing features of Bayesian entrepreneurship </li><li>how entrepreneurs form and update prior beliefs in entrepreneurial decision-making</li><li>the role of experimentation and learning in entrepreneurial strategy</li><li>applications to entrepreneurship education and practice</li></ul> Bayesian Entrepreneurship offers both theoretical contributions advancing our understanding of entrepreneurial decision-making and practical insights for entrepreneurs and educators.

A novel framework for how entrepreneurs can use Bayesian reasoning to make decisions. This edited volume introduces and explores the concept of Bayesian entrepreneurship, a novel framework for understanding entrepreneurial decision-making under uncertainty. It brings together contributions from leading scholars to examine how entrepreneurs form beliefs about opportunities, learn through experimentation, and make strategic decisions. The Bayesian approach emphasizes the critical interaction between an entrepreneur’s prior beliefs and their capacity for learning and experimentation to update those beliefs. This dynamic process allows entrepreneurs to formulate and test theories about value creation and capture, attract resources and capabilities, and implement effective entrepreneurial strategies. The volume is organized around four key themes: <ul><li>the foundations and distinguishing features of Bayesian entrepreneurship </li><li>how entrepreneurs form and update prior beliefs in entrepreneurial decision-making</li><li>the role of experimentation and learning in entrepreneurial strategy</li><li>applications to entrepreneurship education and practice</li></ul> Bayesian Entrepreneurship offers both theoretical contributions advancing our understanding of entrepreneurial decision-making and practical insights for entrepreneurs and educators.

Bayesian Entrepreneurship

Bayesian statistics and statistical practice have evolved over the years, driven by advancements in theory, methods, and computational tools. Bayesian Workflow explores the intricate workflows of applied Bayesian statistics, aiming to uncover the tacit knowledge often overlooked in published papers and textbooks. By systematizing the process of Bayesian model development, the book seeks to improve applied analyses and inspire future innovations in theory, methods, and software. It emphasizes the importance of iterative model building, model checking, computational troubleshooting, and simulated-data experimentation, offering a comprehensive perspective on statistical analysis.Through detailed examples and practical guidance, the book bridges the gap between theory and application, empowering practitioners and researchers to navigate the complexities of Bayesian inference. It is not a checklist or cookbook but a flexible framework for understanding and resolving challenges in statistical modeling and decision-making under uncertainty.Features<ul> <li>Covers all aspects of Bayesian statistical workflow, including model building, inference, validation, troubleshooting, and understanding</li> <li>Demonstrates iterative model development and computational problem-solving through real-world case studies</li> <li>Explores computational challenges, calibration checking, and connections between modeling and computation</li> <li>Highlights the importance of checking models under diverse conditions to understand their limitations and improve their robustness</li> <li>Discusses how Bayesian principles apply to non-Bayesian methods in statistics and machine learning</li> <li>Includes code snippets, exercises, and links to full datasets and code in R and Stan, with applicability to other programming environments like Python and Julia</li> </ul>This book is designed for practitioners of applied Bayesian statistics, particularly users of probabilistic programming languages such as Stan, as well as developers of methods and software tailored to these users. It also targets researchers in Bayesian theory and methods, offering insights into understudied aspects of statistical workflows. Instructors and students will find adaptable exercises and case studies to enhance their learning experience. Beyond Bayesian inference, the book's principles are relevant to users of non-Bayesian methods, making it a valuable resource for statisticians, data scientists, and machine learning professionals seeking to improve their modeling and decision-making processes.

Bayesian Workflow

Praise for THE SUPER UPSIDE FACTOR "The Super Upside Factor unlocks the power of decision science and human systems, revealing practical strategies to leverage luck, embrace asymmetric opportunities, and achieve extraordinary returns in both life and career." -NIR EYAL, Author of Hooked: How to Build Habit-Forming Products "Daniel applies basic statistical principles and lessons learnt from his venture capital experience to deliver a compelling blueprint for achieving outsized success in an unpredictable world." -ALOK SAMA, Former President and CFO of SoftBank Group International and Author of The Money Trap "I often tell my mentees or students, 'Why not try?' when they seek advice, encouraging them to consider that the upside could be significantly greater, while the downside might not be as risky as they imagine. Daniel has eloquently explained this approach in his book, which I recommend for students and young professionals." -JIHOON RIM, Professor at NYU Stern and former CEO and Board Director of Kakao Corp "An intriguing and well-written case for applying risk-taking frameworks from venture investing to life decisions. If you find yourself hobbled by risk aversion, this book can provoke a thoughtful re-examination of the options." -KARTHIK RAMANNA, Oxford Professor and Author of The Age of Outrage: How to Lead in a Polarized World "In The Super Upside Factor, Daniel masterfully shows how to generate outsized rewards while protecting the downside. His principles of asymmetry are a must-read for anyone seeking to 10x their career and life without unnecessary risk." -BRIAN LIU, Founder and former CEO and Chairman of LegalZoom

Asymmetric Principles that will 10x Your Life

The Super Upside Factor

How to move beyond guessing about manager skill with decision-based analytics, not the outcome-based analytics used at present. Skill is the raison d’être for active equity management. Yet precious little is known about manager skill. What is skill? Who has it? How should it be measured? Is a manager’s skill improving, declining, or remaining consistent? Without answers to such fundamental questions, capital allocators have no choice but to rely on inferences, hunches, and guesswork. In Skill Versus Luck, Michael Ervolini explains how to move beyond skill fog with newer analytics developed over the past decade. Unlike conventional analytics that simply rehash fund outcomes, the newer cause-and-effect analytics relate a manager’s decisions to fund excess returns, providing rigorous measures of manager skill. Results from these newer analytics enable capital allocators to understand manager skill for the first time and make more effective allocation decisions.

How to move beyond guessing about manager skill with decision-based analytics, not the outcome-based analytics used at present. Skill is the raison d’être for active equity management. Yet precious little is known about manager skill. What is skill? Who has it? How should it be measured? Is a manager’s skill improving, declining, or remaining consistent? Without answers to such fundamental questions, capital allocators have no choice but to rely on inferences, hunches, and guesswork. In Skill Versus Luck, Michael Ervolini explains how to move beyond skill fog with newer analytics developed over the past decade. Unlike conventional analytics that simply rehash fund outcomes, the newer cause-and-effect analytics relate a manager’s decisions to fund excess returns, providing rigorous measures of manager skill. Results from these newer analytics enable capital allocators to understand manager skill for the first time and make more effective allocation decisions.

Taking the Guessing Out of Equity Fund Selection

Skill Versus Luck

The acclaimed New York Times bestseller—“the rare business history that reads like a thriller” (Publishers Weekly)—that tells the story of how we came to believe that financial markets knew best and how that belief steered us wrong, now updated to reflect the latest academic research and market developments.The financial crisis of 2008 and the subsequent Great Recession seemed to demolish many cherished beliefs—most significantly, the theory that financial markets always get things right. Justin Fox’s The Myth of the Rational Market, first published in 2009, explained where that idea came from and where it went wrong.Our reliance on financial markets hasn’t gone away, and the book’s themes are as relevant today as in the aftermath of the financial crisis. An intellectual whodunit, The Myth of the Rational Market brings to life the people and ideas that forged modern finance and investing—from the formative days of Wall Street through the Great Depression to the financial escapades shaping our lives and economy today. It’s a tale of professors who made and lost fortunes, battled fiercely over ideas, beat the house at blackjack, wrote bestselling books, and played major roles on the world stage.In this new edition, Justin Fox revisits his classic text. All-new material includes<ul><li>An update on developments in academic economics and finance, which launched rational market theory and are still contending with how much imperfection and irrationality to incorporate into models of financial markets.</li><li>A look at what these theories have to tell us about such market phenomena as the triumph of index funds, the rise of cryptocurrencies, meme stocks, the artificial intelligence investing boom, and Elon Musk.</li></ul>A sweeping history hailed for lively storytelling that makes complex economic ideas clear, The Myth of the Rational Market is essential for understanding American economics, investment, and business in the twenty-first century.

The acclaimed New York Times bestseller—“the rare business history that reads like a thriller” (Publishers Weekly)—that tells the story of how we came to believe that financial markets knew best and how that belief steered us wrong, now updated to reflect the latest academic research and market developments.The financial crisis of 2008 and the subsequent Great Recession seemed to demolish many cherished beliefs—most significantly, the theory that financial markets always get things right. Justin Fox’s The Myth of the Rational Market, first published in 2009, explained where that idea came from and where it went wrong.Our reliance on financial markets hasn’t gone away, and the book’s themes are as relevant today as in the aftermath of the financial crisis. An intellectual whodunit, The Myth of the Rational Market brings to life the people and ideas that forged modern finance and investing—from the formative days of Wall Street through the Great Depression to the financial escapades shaping our lives and economy today. It’s a tale of professors who made and lost fortunes, battled fiercely over ideas, beat the house at blackjack, wrote bestselling books, and played major roles on the world stage.In this new edition, Justin Fox revisits his classic text. All-new material includes<ul><li>An update on developments in academic economics and finance, which launched rational market theory and are still contending with how much imperfection and irrationality to incorporate into models of financial markets.</li><li>A look at what these theories have to tell us about such market phenomena as the triumph of index funds, the rise of cryptocurrencies, meme stocks, the artificial intelligence investing boom, and Elon Musk.</li></ul>A sweeping history hailed for lively storytelling that makes complex economic ideas clear, The Myth of the Rational Market is essential for understanding American economics, investment, and business in the twenty-first century.

A History of Risk, Reward, and Delusion on Wall Street

The Myth of the Rational Market Revised Edition

Introductory Business Statistics Vol 2

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