“…Writing with panache and fresh insight, he explores 27 key films, and draws on production notes, cast and crew biographies, and the films' box-office success, to reveal their place in western history. …”

Tabla de Contenidos: “…Uso de transformaciones para corregir no normalidad -- 6.3.4. Transformación de Box - Cox -- 6.4. Implementación en SAS -- 6.5. …”

Tabla de Contenidos: “…3.3.2 Two-Sided Interval Examples -- 3.3.3 Comparison of Two-Sided Statistical Intervals -- 3.4 One-Sided Statistical Bounds -- 3.4.1 Simple Tabulations for One-Sided Statistical Bounds -- 3.4.2 One-Sided Statistical Bound Examples -- 3.4.3 Comparison of One-Sided Statistical Bounds -- Chapter 4 Methods for Calculating Statistical Intervals for a Normal Distribution -- Objectives and Overview -- 4.1 Notation -- 4.2 Confidence Interval for the Mean of A Normal Distribution -- 4.3 Confidence Interval for The Standard Deviation of a Normal Distribution -- 4.4 Confidence Interval for a Normal Distribution Quantile -- 4.5 Confidence Interval for the Distribution Proportion Less (Greater) than a Specified Value -- 4.6 Statistical Tolerance Intervals -- 4.6.1 Two-Sided Tolerance Interval to Control the Center of a Distribution -- 4.6.2 Two-Sided Tolerance Interval to Control Both Tails of a Distribution -- 4.6.3 One-Sided Tolerance Bounds -- 4.7 Prediction Interval to Contain a Single Future Observation or the Mean of m Future Observations -- 4.8 Prediction Interval to Contain at Least k of m Future Observations -- 4.8.1 Two-Sided Prediction Interval -- 4.8.2 One-Sided Prediction Bounds -- 4.9 Prediction Interval to Contain the Standard Deviation of m Future Observations -- 4.10 The Assumption of a Normal Distribution -- 4.11 Assessing Distribution Normality and Dealing with Nonnormality -- 4.11.1 Probability Plots and Q--Q Plots -- 4.11.2 Interpreting Probability Plots and Q--Q Plots -- 4.11.3 Dealing with Nonnormal Data -- 4.12 Data Transformations and Inferences from Transformed Data -- 4.12.1 Power Transformations -- 4.12.2 Computing Statistical Intervals from Transformed Data -- 4.12.3 Comparison of Inferences Using Different Transformations -- 4.12.4 Box--Cox Transformations -- 4.13 Statistical Intervals for Linear Regression Analysis…”

“…You'll also get to grips with different feature engineering strategies, such as the box-cox transform, power transform, and log transform across machine learning, reinforcement learning, and natural language processing (NLP) domains. …”