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SAS for Forecasting Time Series, Third Edition
  • Language: en
  • Pages: 616

SAS for Forecasting Time Series, Third Edition

To use statistical methods and SAS applications to forecast the future values of data taken over time, you need only follow this thoroughly updated classic on the subject. With this third edition of SAS for Forecasting Time Series, intermediate-to-advanced SAS users—such as statisticians, economists, and data scientists—can now match the most sophisticated forecasting methods to the most current SAS applications. Starting with fundamentals, this new edition presents methods for modeling both univariate and multivariate data taken over time. From the well-known ARIMA models to unobserved components, methods that span the range from simple to complex are discussed and illustrated. Many of ...

The clerical guide, or ecclesiastical directory
  • Language: en
  • Pages: 368

The clerical guide, or ecclesiastical directory

  • Type: Book
  • -
  • Published: 1817
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  • Publisher: Unknown

None

SAS for Forecasting Time Series
  • Language: en
  • Pages: 424

SAS for Forecasting Time Series

Easy-to-read and comprehensive, this book shows how the SAS System performs multivariate time series analysis and features the advanced SAS procedures STATSPACE, ARIMA, and SPECTRA. The interrelationship of SAS/ETS procedures is demonstrated with an accompanying discussion of how the choice of a procedure depends on the data to be analysed and the reults desired. Other topics covered include detecting sinusoidal components in time series models and performing bivariate corr-spectral analysis and comparing the results with the standard transfer function methodology. The authors? unique approach to integrating students in a variety of disciplines and industries. Emphasis is on correct interpretation of output to draw meaningful conclusions. The volume, co-pubished by SAS and JWS, features both theory and practicality, and accompanies a soon-to-be extensive library of SAS hands-on manuals in a multitude of statistical areas. The book can be used with a number of hardware-specific computing machines including CMS, Mac, MVS, Opem VMS Alpha, Opmen VMS VAX, OS/390, OS/2, UNIX, and Windows.

Validating Clinical Trial Data Reporting with SAS
  • Language: en
  • Pages: 229

Validating Clinical Trial Data Reporting with SAS

This indispensable guide focuses on validating programs written to support the clinical trial process from after the data collection stage to generating reports and submitting data and output to the Food and Drug Administration.

Records and Briefs of the United States Supreme Court
  • Language: en
  • Pages: 492

Records and Briefs of the United States Supreme Court

  • Type: Book
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  • Published: 1905
  • -
  • Publisher: Unknown

None

Annual Report
  • Language: en
  • Pages: 26

Annual Report

  • Type: Book
  • -
  • Published: 1876
  • -
  • Publisher: Unknown

None

General Register of the Society of Colonial Wars
  • Language: en
  • Pages: 646

General Register of the Society of Colonial Wars

  • Type: Book
  • -
  • Published: 1898
  • -
  • Publisher: Unknown

Includes the constitution, registers of officers of both the national and the state societies plus an index of ancestors and descendants.

Data Preparation for Analytics Using SAS
  • Language: en
  • Pages: 440

Data Preparation for Analytics Using SAS

Text addresses such tasks as: viewing analytic data preparation in the context of its business environment, identifying the specifics of predictive modeling for data mart creation, understanding the concepts and considerations of data preparation for time series analysis, and using SAS procedures for scoring.

SAS System for Regression
  • Language: en
  • Pages: 258

SAS System for Regression

SAS® System for Regression Learn to perform a wide variety of regression analyses using SAS® software with this example-driven revised favorite from SAS Publishing. With this Third Edition you will learn the basics of performing regression analyses using a wide variety of models including nonlinear models. Other topics covered include performing linear regression analyses using PROC REG diagnosing and providing remedies for data problems, including outliers and multicollinearity. Examples feature numerous SAS procedures including REG, PLOT, GPLOT, NLIN, RSREG, AUTOREG, PRINCOMP, and others. A helpful discussion of theory is supplied where necessary. Some knowledge of both regression and th...