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Statistical Computations and SAS Applications

Explore statistical models, SAS system applications, and tools for data analysis. Learn logistic regression, linear models, and categorical data analysis using SAS. Reference authoritative texts for in-depth understanding.

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Statistical Computations and SAS Applications

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  1. 統計計算 YI-TING HWANG 黃怡婷 DEPARTMENT OF STATISTICS NATIONAL TAIPEI UNIVERSITY

  2. REFERENCE • SAS與統計模式建構，吳東霖、林傑斌、劉明德，文魁資訊股份有限公司，2001。 • SAS/IML 在統計學的應用, 余長義著, 1997

  3. REFERENCE • Allison, P. D. (2001). Logistic regression using the SAS system: Theory and Application. SAS institution and Wiley, NC. • Dilorio F. C. (1991), SAS applications programming : a gentle introduction. Boston : PWS-KENT Pub. Co. • Fan X. et. al (2002). SAS for Monte Carlo Studies. SAS Insitute Inc, North Carolina. • Little, R. C. et al (2002). SAS for linear models. SAS institution and Wiley, NC. • Stokes, M. E. (2000). Categorical data analysis using the SAS system. SAS institution and Wiley, NC. • SAS/STAT user’s guide, version 6 (1990), Volume I and II. SAS institution and Wiley, NC.

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