PDF Ebook 100 Excel Simulations: Using Excel to Model Risk, Investments, Genetics, Growth, Gambling and Monte Carlo Analysis By Gerard M. Verschuur

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100 Excel Simulations: Using Excel to Model Risk, Investments, Genetics, Growth, Gambling and Monte Carlo Analysis By Gerard M. Verschuur

PDF Ebook 100 Excel Simulations: Using Excel to Model Risk, Investments, Genetics, Growth, Gambling and Monte Carlo Analysis By Gerard M. Verschuur

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Amazon Sales Rank: #1438116 in Books
Brand: Holy Macro Books
Published on: 2016-11-01
Original language: English
Number of items: 1
Dimensions: 10.00" h x .50" w x 8.00" l, .0 pounds
Binding: Paperback
213 pages

Features

Holy Macro Books

Review Having taught programming and computer science since 1963 and seen a myriad of textbooks, it is a real pleasure to get Dr G. M. Verschuurens book on EXCEL Simulation. It is definitely the best "Learn by examples" computer book I have ever seen.Ole Hebin, Prof. Emeritus (Univ. Copenhagen and Northwestern)------------------This book has an impressive breadth of examples from different areas. The writing is very straighforward and explanations seem very understandable for the beginning student. The companion website is an extraordinary resource!Dr. Bud Banis, Professor of Logistics, U. of Missouri, St. Louis

From the Inside Flap A revised book with 100 different simulationsI. GAMBLING

1. THE DIE IS CAST
2. CASTING SIX DICE
3. FREQUENCIES
4. GAMBLING STRATEGY
5. ROULETTE MACHINE
6. GAMBLER'S RUIN
7. RANDOM WALK
8. CRACKING A PASSWORD

II. STATISTICS

9. A FAIR COIN
10. THE MEAN OF MEANS
11. SAMPLING
12. THE NORMAL DISTRIBUTION
13. NORMALIZING
14. REPEATS
15. CONFIDENCE MARGINS
16. POWER CURVES
17. HIDDEN PEAKS
18. SAMPLING SIZES
19. QUALITY CONTROL

III. GENETICS

20. CHROMOSOMES
21. SEX DETERMINATION
22. RADIATION AND MUTATION
23. MENDEL
24. HARDY-WEINBERG LAW
25. GENETIC DRIFT
26. LETHAL HOMOZYGOTE
27. REDUCED VITALITY
28. TWO SELECTIVE FORCES
29. BALANCED EQUILIBRIUM
30. MOLECULAR CLOCK
31. DNA SEQUENCING

IV. FINANCIAL

32. FLUCTUATING APR
33. RISK ANALYSIS
34. MISSING/EXCEEDING TARGETS
35. TWO-DIMENSIONAL FILTERS
36. SCENARIOS
37. MOVING AVERAGES
38. RETURN ON INVESTMENT
39. EMPLOYEE STOCK OPTIONS
40. VALUE AT RISK
41. ASIAN OPTIONS
42. BLACK-SCHOLES MODEL

V. EXPANSION

43. OFFSPRING OF TWO RABBITS
44. EXTRAPOLATION
45. PREDATOR-PREY CYCLE
46. HOMEOSTASIS
47. TAKING MEDICATION
48. POPULATION PYRAMID
49. TITRATION
50. EC50 DETERMINATION
51. CONVERTER
52. CONDITIONAL TRAINING
53. EPIDEMICS

VI. MONTE CARLO SIMULATIONS

54. HOW RANDOM IS RANDOM
55. BROWNIAN MOTION
56. A TRAFFIC SITUATION
57. UNCERTAINTIES IN SALES
58. EXCHANGE RATE FLUCTUATIONS
59. COST ESTIMATES
60. MARKET GROWTH
61. INTEGRATION W/ MONTE CARLO

VII. ITERATIONS

62. CIRCULAR REFERENCES
63. COUNTING NEW HITS
64. CIRCULAR GRADIENTS
65. SINGLE-CELL ARRAYS
66. MULTI-CELL ARRAYS
67. SOLVING EQUATIONS
68. LEAST SQUARES METHOD
69. COMBINING SCENARIOS
70. LOGISTICS

VIII. EXTRAS

71. AREA CODE FINDER
72. GRAPH MANIPULATION
73. DETECTING OUTLIERS
74. FALSE POSITIVES
75. PROBABILITY OF BELIEFS
76. UNBIASED SAMPLING
77. NUMBERING RECORDS
78. FISCAL YEAR
79. STOCK MARKET
80. WEATHER FORECAST

IX. MISCELLANEA

81. DATA TABLE WITH MEMORY
82. GRAPH MANIPULATION
83. SIMULATION OF A SLOT MACHINE
84. LETTER GAME
85. A HAWK-DOVE SIMULATION
86. FLOCK BEHAVIOR
87. SIMULATION OF SICK CASES
88. EHRENFEST'S URN SIMULATION
89. TWO MONTE CARLO INTEGRATIONS
90. RANDOMNESS IN GENE POOLS
91. RANDOM MATING
92. DIFFERENCES IN FITNESS
93. LOAN SIMULATION
94. STOCK VOLATILITY
95. S&P 500 PERFORMANCE
96. SCENARIO RISKS
97. TEMPERATURE FLUCTUATIONS
98. JUROR SELECTION
99. WAITING TIME SIMULATION
100.PROJECT DELAYS

X. APPENDICES

1. LOCKING CELL REFERENCES
2. NESTED FUNCTIONS
3. WHAT-IF TABLES
4. MONTE CARLO SIMULATIONS
5. SIMULATION CONTROLS

X. INDEX

About the Author Gerard M. Verschuuren, PhD, is a Microsoft Certified Professional specializing in C#.NET, VB, VBA, and VB.NET. He is the principal of Genesis PC, where he teaches and advises on the use of curve-fitting software such as Excel and XLfit in data, regression, and statistical analyses. His clients include Abbott, Bose, IBM, Liberty Mutual, Massachusetts General Hospital, and Harvard University. He is the author of numerous computer programming books, including Excel for Scientists, Excel VBA, From VBA to VSTO, Access VBA. He lives in southern New Hampshire.

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