Tabla de Contenidos: “…7.4 Lindeberg's Central Limit Theorem for Martingales -- 7.5 General Abstract Testing Protocols -- 7.6 Making the Results of Part I Abstract -- 7.7 Exercises -- 7.8 Context -- Chapter 8 Zero‐One Laws -- 8.1 LÉvy's Zero‐One Law -- 8.2 Global Upper Expectation -- 8.3 Global Upper and Lower Probabilities -- 8.4 Global Expected Values and Probabilities -- 8.5 Other Zero‐One Laws -- 8.6 Exercises -- 8.7 Context -- Chapter 9 Relation to Measure‐Theoretic Probability -- 9.1 VILLE'S THEOREM -- 9.2 Measure‐Theoretic Representation of Upper Expectations -- 9.3 Embedding Game‐Theoretic Martingales in Probability Spaces -- 9.4 Exercises -- 9.5 Context -- Part III Applications in Discrete Time -- Chapter 10 Using Testing Protocols in Science and Technology -- 10.1 Signals in Open Protocols -- 10.2 Cournot's Principle -- 10.3 Daltonism -- 10.4 Least Squares -- 10.5 Parametric Statistics with Signals -- 10.6 Quantum Mechanics -- 10.7 Jeffreys's Law -- 10.8 Exercises -- 10.9 Context -- Chapter 11 Calibrating Lookbacks and p‐Values -- 11.1 Lookback Calibrators -- 11.2 Lookback Protocols -- 11.3 Lookback Compromises -- 11.4 Lookbacks in Financial Markets -- 11.5 Calibrating p‐values -- 11.6 Exercises -- 11.7 Context -- Chapter 12 Defensive Forecasting -- 12.1 Defeating Strategies for Skeptic -- 12.2 Calibrated Forecasts -- 12.3 Proving the Calibration Theorems -- 12.4 Using Calibrated Forecasts for Decision Making -- 12.5 Proving the Decision Theorems -- 12.6 From Theory to Algorithm -- 12.7 Discontinuous Strategies for Skeptic -- 12.8 Exercises -- 12.9 Context -- Part IV Game‐Theoretic Finance -- Chapter 13 Emergence of Randomness in Idealized Financial Markets -- 13.1 Capital Processes and Instant Enforcement -- 13.2 Emergence of Brownian Randomness -- 13.3 Emergence of Brownian Expectation -- 13.4 Applications of Dubins-Schwarz…”

Materias:

Materias: “…Bayesian statistical decision theory…”

Materias: “…Information society Statistical methods…”

Materias: “…Agriculture Research Statistical methods…”

Materias:

Materias: “…Machine learning -- Statistical methods…”

Materias:

Tabla de Contenidos: “…Multiple-Input/Output Relationships -- 8. Statistical Errors in Basic Estimates -- 9. Statistical Errors in Advanced Estimates -- 10. …”

Tabla de Contenidos: “…Kurtosis (4th Moment)Choosing between Frequency Distribution and Standard Deviation; Probability of Achieving a Return; Standard Error; t-Statistic and Degrees of Freedom; STANDARDIZING RISK AND RETURN; Calculating Returns; Risk and Volatility; THE INDEX; Constructing an Index; Calculating the Net Asset Value-Indexing Returns; Leveraged Long or Short Index Funds; Cross-Market and Weighted Index; U.S. …”

Materias: “…Social sciences Research Statistical methods…”

Tabla de Contenidos: “…A Fraud Data Scientist Should Have a Solid Business Understanding A Fraud Data Scientist Should Be Creative; A Scientific Perspective on Fraud; References; Chapter 2 Data Collection, Sampling, and Preprocessing; Introduction; Types of Data Sources; Merging Data Sources; Sampling; Types of Data Elements; Visual Data Exploration and Exploratory Statistical Analysis; Benford's Law; Descriptive Statistics; Missing Values; Outlier Detection and Treatment; Red Flags; Standardizing Data; Categorization; Weights of Evidence Coding; Variable Selection; Principal Components Analysis; RIDITs…”

Materias:

Materias:

Tabla de Contenidos: “…; 3.6 The Cramér-Rao Lower Bound; 3.7 Sufficient Statistic; 3.8 Regularization; Inverse problems: Ill-conditioning and overfitting…”

Materias: “…Bayesian statistical decision theory…”

Materias: “…Management Statistical methods…”

Tabla de Contenidos: “…, 1.2 Features you'll find in this book and others in this series, 1.2.1 Chapter Context, 1.2.2 The Lighter Side (humour), 1.2.3 Quotations, 1.2.4 Definitions, 1.2.5 Discussions and Explanations with a Mathematical Slant for Formula-philes, 1.2.6 Discussions and Explanations without a Mathematical Slant for Formula-phobes, 1.2.7 Caveat Augur, 1.2.8 Worked Examples, 1.2.9 Useful Microsoft Excel Functions and Facilities, 1.2.10 References to Authoritative Sources, 1.2.11 Chapter Reviews, 1.3 Overview of Chapters in this Volume, 1.4 Elsewhere in the 'Working Guide to Estimating & Forecasting' Series, 1.4.1 Volume I: Principles, Process and Practice of Professional Number Juggling, 1.4.2 Volume II: Probability, Statistics and other Frightening Stuff, 1.4.3 Volume III: Best Fit Lines & Curves, and some Mathe-Magical Transformations, 1.4.4 Volume IV: Learning, Unlearning and Re-Learning Curves, 1.4.5 Volume V: Risk, Opportunity, Uncertainty and Other Random Models, 1.5 Final Thoughts and Musings on this Volume and Series, References, , 2 Quantity-based Learning Curves, 2.1 A Brief History of the Learning Curve as a Formal Relationship, 2.2 Two Basic Learning Curve Models (Wright and Crawford), 2.2.1 Wright Cumulative Average Learning Curve, 2.2.2 Crawford Unit Learning Curve, 2.2.3 Wright and Crawford Learning Curves Compared, 2.2.4 What's So Special about the Doubling Rule?…”

Tabla de Contenidos: “…Front Cover; Contents; Foreword; Preface; Acknowledgments; Authors; Chapter 1 - There Is More to Assessing Risk Than Statistics; Chapter 2 - The Need for Causal, Explanatory Models in Risk Assessment; Chapter 3 - Measuring Uncertainty: The Inevitability of Subjectivity; Chapter 4 - The Basics of Probability; Chapter 5 - Bayes' Theorem and Conditional Probability; Chapter 6 - From Bayes' Theorem to Bayesian Networks; Chapter 7 - Defining the Structure of Bayesian Networks; Chapter 8 - Building and Eliciting Node Probability Tables…”

Tabla de Contenidos: “…Preface -- 1 Bayes's Theorem -- 2 Computational Statistics -- 3 Estimation -- 4 More Estimation -- 5 Odds and Addends -- 6 Decision Analysis -- 7 Prediction -- 8 Observer Bias -- 9 Two Dimensions -- 10 Approximate Bayesian Computation -- 11 Hypothesis Testing -- 12 Evidence -- 13 Simulation -- 14 A Hierarchical Model -- 15 Dealing with Dimensions…”