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Microsoft Office Excel 2007 : data analysis and business modeling /

Provides an introduction to data analysis and business modeling using Microsoft Excel.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Winston, Wayne L.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Redmond, Wash. : Microsoft Press, 2007.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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505 0 |a 1. Range names -- 2. Lookup functions -- 3. The INDEX function -- 4. The MATCH function -- 5. Text functions -- 6. Dates and date functions -- 7. Evaluating investments by using net present value criteria -- 8. Internal rate of return -- 9. More Excel financial functions -- 10. Circular references -- 11. IF statements -- 12. Time and time functions -- 13. The paste special command -- 14. The auditing tool -- 15. Sensitivity analysis with data tables -- 16. The goal seek command -- 17. Using the scenario manager for sensitivity analysis -- 18. The COUNTIF, COUNTIFS, COUNT, COUNTA, and COUNTBLANK functions -- 19. The SUMIF, AVERAGEIF, SUMIFS, and AVERAGEIFS functions -- 20. The OFFSET function -- 21. The INDIRECT function -- 22. Conditional formatting -- 23. Sorting in Excel -- 24. Tables -- 25. Spin buttons, scroll bars, option buttons, check boxes, combo boxes, and group list boxes -- 26. An introduction to optimization with Excel solver -- 27. Using solver to determine the optimal product mix -- 28. Using solver to schedule your workforce -- 29. Using solver to solve transportation or distribution problems -- 30. Using solver for capital budgeting -- 31. Using solver for financial planning -- 32. Using solver to rate sports teams -- 33. Importing data from a text file or document -- 34. Importing data from the Internet -- 35. Validating data -- 36. Summarizing data by using histograms -- 37. Summarizing data by using descriptive statistics -- 38. Using PivotTables to describe data -- 39. Summarizing data with database statistical functions -- 40. Filtering data and removing duplicates -- 41. Consolidating data -- 42. Creating subtotals -- 43. Estimating straight line relationships -- 44. Modeling exponential growth -- 45. The power curve -- 46. Using correlations to summarize relationships -- 47. Introduction to multiple regression -- 48. Incorporating qualitative factors into multiple regression -- 49. Modeling nonlinearities and interactions -- 50. Analysis of variance : one-way ANOVA -- 51. Randomized blocks and two-way ANOVA -- 52. Using moving averages to understand time series -- 53. Winter's method -- 54. Forecasting in the presence of special events -- 55. An introduction to random variables -- 56. The binomial, hypergeometric, and negative binomial random variables -- 57. The poisson and exponential random variable -- 58. The normal random variable -- 59. Weibull and beta distributions : modeling machine life and duration of a project -- 60. Introduction to Monte Carlo simulation -- 61. Calculating an optimal bid -- 62. Simulating stock prices and asset allocation modeling -- 63. Fun and games : simulating gambling and sporting event probabilities -- 64. Using resampling to analyze data -- 65. Pricing stock options -- 66. Determining customer value -- 67. The economic order quantity inventory model -- 68. Inventory modeling with uncertain demand -- 69. Queuing theory : the mathematics of waiting in line -- 70. Estimating a demand curve -- 71. Pricing products by using tie-ins -- 72. Pricing products by using subjectively determined demand -- 73. Nonlinear pricing -- 74. Array formulas and functions. 
520 |a Provides an introduction to data analysis and business modeling using Microsoft Excel. 
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