A quantitative approach to commercial damages applying statistics to the measurement of lost profits
How-to guidance for measuring lost profits due to business interruption damages A Quantitative Approach to Commercial Damages explains the complicated process of measuring business interruption damages, whether they are losses are from natural or man-made disasters, or whether the performance of one...
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| Otros Autores: | |
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Hoboken, N.J. :
Wiley
c2012.
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| Edición: | 1st edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628731406719 |
Tabla de Contenidos:
- A Quantitative Approach to Commercial Damages; Contents; Preface; Is This a Course in Statistics?; How This Book Is Set Up; The Job of the Testifying Expert; About the Companion Web Site-Spreadsheet Availability; Note; Acknowledgments; INTRODUCTION The Application of Statistics to the Measurement of Damages for Lost Profits; The Three Big Statistical Ideas; Variation; Correlation; Rejection Region or Area; Introduction to the Idea of Lost Profits
- Stage 1. Calculating the Difference Between Those Revenues That Should Have Been Earned and What Was Actually Earned During the Period of InterruptionStage 2. Analyzing Costs and Expenses to Separate Continuing from Noncontinuing; Stage 3. Examining Continuing Expenses Patterns for Extra Expense; Stage 4. Computing the Actual Loss Sustained or Lost Profits; Choosing a Forecasting Model; Type of Interruption; Length of Period of Interruption; Availability of Historical Data; Regularity of Sales Trends and Patterns; Ease of Explanation; Conventional Forecasting Models; Simple Arithmetic Models
- More Complex Arithmetic ModelsTrendline and Curve-Fitting Models; Seasonal Factor Models; Smoothing Methods; Multiple Regression Models; Other Applications of Statistical Models; Conclusion; Notes; CHAPTER 1 Case Study 1-Uses of the Standard Deviation; The Steps of Data Analysis; Shape; Spread; Conclusion; Notes; CHAPTER 2 Case Study 2-Trend and Seasonality Analysis; Claim Submitted; Claim Review; Occupancy Percentages; Trend, Seasonality, and Noise; Trendline Test; Cycle Testing; Conclusion; Note
- CHAPTER 3 Case Study 3-An Introduction to Regression Analysis and Its Application to the Measurement of Economic DamagesWhat Is Regression Analysis and Where Have I Seen It Before?; A Brief Introduction to Simple Linear Regression; I Get Good Results with Average or Median Ratios-Why Should I Switch to Regression Analysis?; How Does One Perform a Regression Analysis Using Microsoft Excel?; Why Does Simple Linear Regression Rarely Give Us the Right Answer, and What Can We Do about It?
- Should We Treat the Value Driver Annual Revenue in the Same Manner as We Have Seller's Discretionary Earnings?What Are the Meaning and Function of the Regression Tool's Summary Output?; Regression Statistics; Tests and Analysis of Residuals; Testing the Linearity Assumption; Testing the Normality Assumption; Testing the Constant Variance Assumption; Testing the Independence Assumption; Testing the No Errors-in-Variables Assumption; Testing the No Multicollinearity Assumption; Conclusion; Note; CHAPTER 4 Case Study 4-Choosing a Sales Forecasting Model: A Trial and Error Process
- Correlation with Industry Sales
