Correlation and Regression Analysis: Applications for Industrial Organizations

✍ Scribed by Ivan Stanimirovic (author)

• Publisher: Arcler Press
• Year: 2019
• Tongue: English
• Leaves: 214
• Category: Library

✦ Synopsis

Correlation and Regression Analysis: Applications for Industrial Organizations book discusses the important theoretical concepts such as the Amortization System Constant, French System of Price Amortization, comparative analysis of these methods and American System of Amortization which provide a basic understanding of the correlation and regression analysis. The application of these concepts to develop economic and mathematical models in e-business have been explained in detail. The theories and concepts related to mathematical design in e-business, design of organizational structure, microeconomic theory of firm, and fundamental concepts related to banks, financial transactions, and the importance of good relations during inflation have been elucidated. The presentation and analysis of data along with detailed information about macroeconomic variables, different result filters, and the relationship of the macroeconomic variables with the result variables has been described. This book provides a comprehensive understanding about the application of correlation and regression analysis in the industrial organizations.

✦ Table of Contents

Cover
Title Page
Copyright
ABOUT THE AUTHOR
TABLE OF CONTENTS
List of Figures
List of Tables
Preface
Chapter 1 Introduction and Objectives
1.1. Introduction
1.2. Objectives
1.3. The Study
1.4. Structure Labor
Chapter 2 Theoretical Background
2.1. Introduction
2.2. Amortization System Constant (ASC)
2.3. French System of Price Amortization (FSA)
2.4. Comparative Analysis of ASC And FSA Methods
2.5. American System of Amortization (ASA)
2.6. Application In Net Present Value
2.7. Mathematical Models In E-Business
2.8. Mathematical Design of E-Business
2.9. Product Design And Pricing Policy
2.10. Using Mathematics To Generate Captive Customers
2.11. Development Of Client Networks
2.12. Mathematical Models In Capital Management
2.13. Cash Management
2.14. Who Is Responsible For Managing Cash Flow?
2.15. The Four Basic Principles For Effective Management
2.16. Operation In Practice of Effective Management of Cash
2.17. Cash Conversion Cycle
2.18. Models of Demand For Cash Transactions
2.19. Baumol Model
2.20. Cash Management Miller-Orr Model
2.21. Commercial Discounts
2.22. Inventory Control
2.23. Model EOQ
2.24. Discounts For Wholesale
2.25. Inventory Control With Uncertainty
2.26. ABC Inventory Control System
2.27. MRP Systems Subject (PNM)
2.28. Inventory Systems Just In Time (JIT)
2.29. Accounts Receivable Management
2.30. The Decision Granting of Basic Credit
2.31. Sources of Credits
2.32. The Five C Credit
2.33. Accumulation Accounts Receivable
2.34. Short-Term Financing
2.35. Cost of Capital And Its Implications From Business Investment
2.36. Capital Cost
2.37. Costs of Sources of Capital
2.38. Cost of Capital
2.39. Average Cost of Capital
Chapter 3 Analysis
3.1. Presentation of Data
3.2 Exploratory Factor Analysis
3.3. Results Filters
3.4. The Economic Cycle and Common Factor
Chapter 4 Conclusions
Index
Back Cover