Basic Analysis and Graphing - SAS

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502 Creating Ternary Plots Chapter 21 Additional Examples of the Ternary Plot Platform
References Abernethy, Robert B. (1996) The New Weibull Handbook. Published by the author: 536 Oyster Road North Palm Beach, Florida 33408. Agresti, A. (1984), Analysis of Ordinal Categorical Data, New York: John Wiley and Sons, Inc. Agresti, A. (1990), Categorical Data Analysis, New York: John Wiley and Sons, Inc. Agresti, A., and Coull, B. (1998), “Approximate is Better Than ‘Exact’ for Interval Estimation of Binomial Proportions,” The American Statistician, 52, 119–126 Aitken, M. (1987) “Modelling Variance Heterogeneity in Normal Regression Using GLIM,” Applied Statistics 36:3, 332–339. Akaike, H. (1974), “Factor Analysis and AIC,” Pschychometrika, 52, 317–332. Akaike, H. (1987), “A new Look at the Statistical Identification Model,” IEEE Transactions on Automatic Control, 19, 716–723. American Society for Quality Statistics Division (2004), Glossary and Tables for Statistical Quality Control, Fourth Edition, Milwaukee: Quality Press. Anderson, T.W. (1971), The Statistical Analysis of Time Series, New York: John Wiley and Sons. Anderson, T. W. (1958) An Introduction to Multivariate Statistical Analysis. New York: John Wiley & Sons. Andrews, D.F. and A. M. Herzberg (1985), Data: A Collection of Problems from Many Fields for the Student and Research Worker. New York: Springer-Verlag. Ashton, W.D. (1972), “The Logit Transformation,” Griffin’s Statistical Monographs, New York: Hafner Publishing. Atkinson, A.C. (1985), Plots, Transformations and Regression, Oxford: Clarendon Press. Barlow, R.E., Bartholomew, D.J., Bremner, J.M., and Brunk, H.D. (1972), Statistical Inference under Order Restrictions, New York: John Wiley and Sons, Inc. Barrentine (1991), Concepts for R&R Studies, Milwaukee, WI: ASQC Quality Press. Bartlett, M.S. and D.G. Kendall (1946), “The Statistical Analysis of Variances–Heterogeneity and the Logarithmic Transformation,” JRSS Suppl 8, 128–138. Bartlett, M.S. (1966), An Introduction to Stochastic Processes, Second Edition, Cambridge: Cambridge University Press. Bates, D.M. and Watts, D.G. (1988), Nonlinear Regression Analysis & its Applications. New York, John Wiley and Sons. Beaton, A.E. and Tukey, J.W. (1974), “The Fitting of Power Series, Meaning Polynomials, Illustrated on Band–Spectroscopic Data,” Technometrics 16, 147–180.
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Version 10 Basic Analysis and Graph
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USE, DATA OR PROFITS, WHETHER IN AN
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6 Options for Categorical Variables
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8 Nonparametric Bivariate Density R
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10 Example of the Power Option . .
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12 Statistical Details for the Logi
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14 Use Categorical Variables . . .
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16 Control Animation for Dynamic Bu
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18 Launch the Scatterplot Matrix Pl
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Contents Book Conventions. . . . .
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22 Learn about JMP Chapter 1 Book C
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24 Learn about JMP Chapter 1 Book C
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26 Learn about JMP Chapter 1 Additi
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28 Learn about JMP Chapter 1 Additi
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Contents Overview of the Distributi
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32 Performing Univariate Analysis C
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Contents Overview of the Fit Y by X
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90 Introduction to the Fit Y by X P
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Contents Example of Bivariate Analy
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94 Performing Bivariate Analysis Ch
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100 Performing Bivariate Analysis C
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130 Performing Oneway Analysis Chap
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Contents Example of Contingency Ana
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186 Performing Contingency Analysis
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Contents Overview of Logistic Regre
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218 Performing Simple Logistic Regr
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Contents Overview of the Matched Pa
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238 Comparing Paired Data Chapter 8
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Contents Example of Bootstrapping .
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250 Bootstrapping Chapter 9 Example
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252 Bootstrapping Chapter 9 Unstack
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254 Bootstrapping Chapter 9 Analysi
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Contents Overview of Graph Builder
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258 Interactive Data Visualization
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Contents Example of the Chart Platf
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314 Creating Summary Charts Chapter
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Contents Example of an Overlay Plot
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340 Creating Overlay Plots Chapter
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Contents Example of a 3D Scatterplo
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354 Creating Three-Dimensional Scat
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374 Creating Contour Plots Chapter
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384 Creating Bubble Plots Chapter 1
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Contents Overview of Mapping . . .
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406 Creating Maps Chapter 16 Exampl
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418 Creating Maps Chapter 16 Backgr
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Contents Example of a Parallel Plot
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450 Creating Parallel Plots Chapter
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Basic Analysis and Graphing - SAS

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