Rabu, 18 Desember 2013

[C641.Ebook] PDF Ebook 100 Excel VBA Simulations: Using Excel VBA to Model Risk, Investments, Genetics. Growth, Gambling, and Monte Carlo Analysis, by Dr. Gerard

PDF Ebook 100 Excel VBA Simulations: Using Excel VBA to Model Risk, Investments, Genetics. Growth, Gambling, and Monte Carlo Analysis, by Dr. Gerard

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100 Excel VBA Simulations: Using Excel VBA to Model Risk, Investments, Genetics. Growth, Gambling, and Monte Carlo Analysis, by Dr. Gerard

100 Excel VBA Simulations: Using Excel VBA to Model Risk, Investments, Genetics. Growth, Gambling, and Monte Carlo Analysis, by Dr. Gerard



100 Excel VBA Simulations: Using Excel VBA to Model Risk, Investments, Genetics. Growth, Gambling, and Monte Carlo Analysis, by Dr. Gerard

PDF Ebook 100 Excel VBA Simulations: Using Excel VBA to Model Risk, Investments, Genetics. Growth, Gambling, and Monte Carlo Analysis, by Dr. Gerard

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100 Excel VBA Simulations: Using Excel VBA to Model Risk, Investments, Genetics. Growth, Gambling, and Monte Carlo Analysis, by Dr. Gerard

Covering a variety of Excel simulations by using Visual Basic (VBA), from gambling to genetics, this introduction is for people interested in modeling future events, without the cost of an expensive textbook. The simulations covered offer a fun alternative to the usual Excel topics and include situations such as roulette, password cracking, sex determination, population growth, and traffic patterns, among many others.

  • Sales Rank: #432976 in Books
  • Published on: 2016-11-18
  • Original language: English
  • Dimensions: 11.00" h x .52" w x 8.50" l,
  • Binding: Paperback
  • 230 pages

From the Inside Flap
A book with 100 different VBA simulations in Excel

I.������������ GAMBLING
��������������� 1: The Die Is Cast
��������������� 2: Casting Six Dice
��������������� 3: Roulette Machine
��������������� 4: AnX-O Game
��������������� 5: A Slot Machine
��������������� 6: Gamblers' Ruin
��������������� 7: Lottery Numbers
��������������� 8: Winor Lose?
��������������� 9: A Letter Game
��������������� 10: A Three-Way Circuit
��������������� 11: Flocking Behavior
II.����������� STATISTICS
��������������� 12: Samples
��������������� 13: A Normal Distribution
��������������� 14: Distribution Simulations
��������������� 15: Discrete Distributions
��������������� 16: Peaks
��������������� 17: Confidence Margins
��������������� 18: Sample Size and Confidence Interval
��������������� 19: Random Repeats
��������������� 20: Flipping a Fair Coin?
��������������� 21: Simulation of Sick Cases
��������������� 22: UnbiasedSampling
��������������� 23: Transforming a LogNormal Distribution
��������������� 24: Outlier Detection
��������������� 25: Bootstrapping
��������������� 26: Bean Machine Simulation
��������������� 27: Correlated Distributions
��������������� 28: Sorted Random Sampling
��������������� 29: Frequencies
III.���������� MONTECARLO SIMULATIONS
��������������� 30: The Law of Large Numbers
��������������� 31: Brownian Motion
��������������� 32: Ehrenfest Urn
��������������� 33: Random Walk
��������������� 34: A Data Table with Memory
��������������� 35: Juror Selection in Court
��������������� 36: Running Project Costs
��������������� 37: Forecasting Profits
��������������� 38: Uncertainty in Sales
��������������� 39: Exchange Rate Fluctuations
IV.��������� GENETICS
��������������� 40: Shuffling Chromosomes
��������������� 41: Sex Determination
��������������� 42: Mendelian Laws
��������������� 43: The Hardy-Weinberg Law
��������������� 44: Genetic Drift
��������������� 45: Two Selective Forces
��������������� 46: Differential Fitness
��������������� 47: Molecular Clock
��������������� 48: DNA Sequencing
V.����������� SCIENCE
��������������� 49: Matrix Elimination
��������������� 50: Integration with Simulation
��������������� 51: Two Monte Carlo Integrations
��������������� 52: Monte Carlo Approach of Pi
��������������� 53: A Population Pyramid
��������������� 54: Predator-Prey Cycle
��������������� 55: Taking Medication�
��������������� 56: The Course of an Epidemic
��������������� 57: Boltzmann Equation for Sigmoidal Curves
��������������� 58: Interpolation
��������������� 59: A Rigid Pendulum
��������������� 60: A Piston Sinusoid
��������������� 61: The Brusselator Model
��������������� 62: A Hawk-Dove Game
VI.��������� BUSINESS
��������������� 63: Prognosis of Sales
��������������� 64: Cycle Percentiles
��������������� 65: Cost Estimates
��������������� 66: A Filtering Table
��������������� 67: Profit Changes
��������������� 68: Risk Analysis
��������������� 69: Scenarios
��������������� 70: Market Growth
��������������� 71: A Traffic Situation
��������������� 72: Quality Control
��������������� 73: Waiting Time Simulation
��������������� 74: Project Delays
VII.�������� FINANCE
��������������� 75: Buyor Sell Stock?
��������������� 76: Moving Averages
��������������� 77: Automatic Totals and Subtotals
��������������� 78: Fluctuations of APR
��������������� 79: Net Present Value
��������������� 80: A Loan with Balance and Principal
��������������� 81: S&P500 Performance
��������������� 82: Stock Market
��������������� 83: Stock Volatility
��������������� 84: Return on Investment
��������������� 85: Value at Risk
��������������� 86: Asian Options
VIII.������� MISCELLANEA
��������������� 87: Cracking a Password
��������������� 88: Encrypting Text
��������������� 89: Encrypting a Spreadsheet
��������������� 90: Numbering Records
��������������� 91: Sizing Bins for Frequencies
��������������� 92: Creating Calendars
��������������� 93: Populating a Jagged Array
��������������� 94: Filtering a Database
��������������� 95: Formatting Phone Numbers
��������������� 96: Creating Gradients
��������������� 97: Aligning Multiple Charts
��������������� 98: Temperature Fluctuations
��������������� 99: Working with Fiscal Years
��������������� 100:Time Calculations
IX.���������� APPENDIX
��������������� Data Tables
��������������� Simulation Controls
��������������� If Statements
��������������� Value Type Variables
��������������� Ranges vs. Cells
��������������� FormulaR1C1
��������������� Arrays
��������������� Error Handling
X.����������� INDEX

From the Back Cover
This book covers a variety of Excel simulations, from gambling to genetics. The 100 simulations covered offer an exciting and fun alternative to the usual Excel topics and include situations such as roulette, sex determination, population growth, and traffic patterns, among 95 others.

Bill Jelen, MrExcel.com
------------------------------------------------------
Having taught programming and computer science since 1963 and seen a myriad of textbooks, it is a real pleasure to get Dr G. M. Verschuuren's book on Excel Simulations. It is definitely the best "Learn by examples" computerbook I have ever seen.

Ole Hebin, Prof. Emeritus, University of Copenhagen and Northwestern
------------------------------------------------------
This book has an impressive breadth of examples from different areas. The writing is very straightforward and explanations seem very understandable for the beginning student. The companion website is an extraordinary resource!

Dr. Bud Banis, Professor of Logistics, University of Missouri, St. Louis

About the Author
Dr. Gerard M. Verschuuren is a human geneticist who also earned a doctorate in the philosophy of science. He studied and worked at universities in Europe and the United States and wrote several biology textbooks in Dutch. During this time, he also used and programmed computer software, including Excel, to simulate scientific problems. Currently, he is semi-retired and spends most of his time as a writer, speaker, and consultant on the interface of science and computer programming.

Most helpful customer reviews

2 of 2 people found the following review helpful.
Wonderful
By Scott Segrin
This is a wonderful book! About a year ago I bought Dr. Verschuuren's other book on Excel Simulations which created all of the simulations with formulas and lacked any VBA code. While useful for some, for me that fell a bit short. But his new book, 100 Excel VBA Simulations, perfectly hits the mark. Each of the 100 examples is presented in a concise and strait forward way on two pages of the book. One one page he explains the simulation, provides illustrations of how it works, and offers a very insightful "what you need to know" section where he explains the theory and nuances of each. On the adjoining page he presents the VBA code used to create each simulation. DO NOT be afraid to buy this book if you are new to VBA. The typically 20-30 lines of code is organized, logical, and extremely easy to follow. The code is rich with examples of how to manipulate data, tables, arrays, dialog boxes and graphs. This alone makes it worth the price. Topics cover everything from Business to Finance to Genetics to Gambling to Monte Carlo simulations.All of the examples in the book can be downloaded from his companion website. While the examples are presented in a brief but comprehensive way, most of them are sufficiently complex to challenge your creativity and create a starting point to build rich, useful simulations of your own.

2 of 2 people found the following review helpful.
excellent book, opens up a Pandora's box of VBA ...
By john hopkins
excellent book, opens up a Pandora's box of VBA techniques not covered in conventional VBA excel books. His stuff is great check out his youtube channel.

1 of 1 people found the following review helpful.
Five Stars
By Tan Tran
Excellent

See all 3 customer reviews...

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100 Excel VBA Simulations: Using Excel VBA to Model Risk, Investments, Genetics. Growth, Gambling, and Monte Carlo Analysis, by Dr. Gerard PDF
100 Excel VBA Simulations: Using Excel VBA to Model Risk, Investments, Genetics. Growth, Gambling, and Monte Carlo Analysis, by Dr. Gerard PDF

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