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SAS/ETS 9.3 User's Guide [Pehme köide]

  • Formaat: Paperback / softback, 3344 pages, paksus: 20 mm, kaal: 611 g, black & white illustrations, 4 paperbacks, Contains 4 paperbacks
  • Ilmumisaeg: 12-Jul-2011
  • Kirjastus: SAS Publishing
  • ISBN-10: 160764911X
  • ISBN-13: 9781607649113
Teised raamatud teemal:
  • Formaat: Paperback / softback, 3344 pages, paksus: 20 mm, kaal: 611 g, black & white illustrations, 4 paperbacks, Contains 4 paperbacks
  • Ilmumisaeg: 12-Jul-2011
  • Kirjastus: SAS Publishing
  • ISBN-10: 160764911X
  • ISBN-13: 9781607649113
Teised raamatud teemal:
Provides detailed reference material for using SAS/ETS software and guides you through the analysis and forecasting of features such as univariate and multivariate time series, cross-sectional time series, seasonal adjustments, multiequational nonlinear models, discrete choice models, limited dependent variable models, portfolio analysis, and generation of financial reports, with introductory and advanced examples for each procedure. You can also find complete information about two easy-to-use point-and-click applications: the Time Series Forecasting System, for automatic and interactive time series modeling and forecasting, and the Investment Analysis System, for time-value of money analysis of a variety of investments. This title is also available online.SAS Products and Releases: SAS/ETS: 9.3 Operating Systems: All
I General Information
1(190)
Chapter 1 What's New in SAS/ETS 9.3
3(10)
Chapter 2 Introduction
13(48)
Chapter 3 Working with Time Series Data
61(64)
Chapter 4 Date Intervals, Formats, and Functions
125(28)
Chapter 5 SAS Macros and Functions
153(16)
Chapter 6 Nonlinear Optimization Methods
169(22)
II Procedure Reference
191(2384)
Chapter 7 The ARIMA Procedure
193(120)
Chapter 8 The AUTOREG Procedure
313(146)
Chapter 9 The COMPUTAB Procedure
459(52)
Chapter 10 The COPULA Procedure (Experimental)
511(44)
Chapter 11 The COUNTREG Procedure
555(44)
Chapter 12 The DATASOURCE Procedure
599(90)
Chapter 13 The ENTROPY Procedure (Experimental)
689(64)
Chapter 14 The ESM Procedure
753(38)
Chapter 15 The EXPAND Procedure
791(54)
Chapter 16 The FORECAST Procedure
845(56)
Chapter 17 The LOAN Procedure
901(42)
Chapter 18 The MDC Procedure
943(80)
Chapter 19 The MODEL Procedure
1023(314)
Chapter 20 The PANEL Procedure
1337(86)
Chapter 21 The PDLREG Procedure
1423(26)
Chapter 22 The QLIM Procedure
1449(70)
Chapter 23 The SEVERITY Procedure
1519(122)
Chapter 24 The SIMILARITY Procedure
1641(68)
Chapter 25 The SIMLIN Procedure
1709(30)
Chapter 26 The SPECTRA Procedure
1739(26)
Chapter 27 The SSM Procedure (Experimental)
1765(64)
Chapter 28 The STATESPACE Procedure
1829(46)
Chapter 29 The SYSLIN Procedure
1875(64)
Chapter 30 The TCOUNTREG Procedure (Experimental)
1939(58)
Chapter 31 The TIMEID Procedure
1997(24)
Chapter 32 The TIMESERIES Procedure
2021(70)
Chapter 33 The TSCSREG Procedure
2091(14)
Chapter 34 The UCM Procedure
2105(114)
Chapter 35 The VARMAX Procedure
2219(180)
Chapter 36 The X11 Procedure
2399(68)
Chapter 37 The X12 Procedure
2467(108)
III Data Access Engines
2575(244)
Chapter 38 The SASECRSP Interface Engine
2577(98)
Chapter 39 The SASEXCCM Interface Engine (Experimental)
2675(42)
Chapter 40 The SASEFAME Interface Engine
2717(52)
Chapter 41 The SASEHAVR Interface Engine
2769(50)
IV Time Series Forecasting System
2819(314)
Chapter 42 Overview of the Time Series Forecasting System
2821(4)
Chapter 43 Getting Started with Time Series Forecasting
2825(56)
Chapter 44 Creating Time ID Variables
2881(14)
Chapter 45 Specifying Forecasting Models
2895(38)
Chapter 46 Choosing the Best Forecasting Model
2933(20)
Chapter 47 Using Predictor Variables
2953(32)
Chapter 48 Command Reference
2985(8)
Chapter 49 Window Reference
2993(106)
Chapter 50 Forecasting Process Details
3099(34)
V Investment Analysis
3133(98)
Chapter 51 Overview
3135(4)
Chapter 52 Portfolios
3139(8)
Chapter 53 Investments
3147(44)
Chapter 54 Computations
3191(12)
Chapter 55 Analyses
3203(16)
Chapter 56 Details
3219(12)
Subject Index 3231(42)
Syntax Index 3273